Vision frame
This page describes the organizational forces that limit change.  It explains how to overcome them when necessary. 

Power& tradition holding back progress
This page uses an example to illustrate how:
  • A business can gain focus from targeting key customers,
  • Business planning activities performed by the whole organization can build awareness, empowerment and coherence. 
  • A program approach can ensure strategic alignment. 
Be responsive to market dynamics
This page uses the example of HP's printer organization freeing itself from its organizational constraints to sell a printer targeted at the IBM pc user. 
The constraints are described. 
The techniques to overcome them are implied. 
Overcome reactionaries
Vision frame
First describes the dynamic nature of any complex adaptive system (CAS). 

It then introduces the broad effects of change which includes opportunities and risks/uncertainties. 

As a CAS grows opportunities become undermined so they must be acted on quickly. 

Uncertainties are also transformed and relayed by the dynamic network.  In particular the recombination of current and new ideas brought in from the network is discussed. 

Opportunity
This page looks at how scenarios allow people to relate to the possible evolution of the business and its products and services.  The Long view process is highlighted. 

Value based customer segmentation is reviewed.  Keirsey's psychological categorization and 'crossing the chasm' are highlighted. 

Three alternate systems are framed as long view scenarios (1) development of a billing mediation business, (2) development of the Grameen Bank the first micro loan bank and (3) some classic chess games. 

Some of the scenarios will be referenced in the SWOT and planning pages of this frame.  In particular the complex adaptive system (CAS) goals used will be referenced by the planning pages schemetic goals. 
Situation
The complex adaptive system (CAS) nature of a value delivery system is first introduced.  It's a network of agents acting as relays. 

The critical nature of hub agents and the difficulty of altering an aligned network is reviewed. 

The nature of and exceptional opportunities created by platforms are discussed. 

Finally an example of aligning a VDS is presented. 
Value delivery
The drive to fulfill current customer requirements can result in the innovator's dilemma.  While the customer interest can diminish typical requirements databases continue to reflect the earlier desire. 

Accurate modeling of the customer's roles and goals creates a more predictive indicator.  Close relationships with sentinel customers for key target segments help build the models. 

Processes should also support the migration of product and customers to the winning architecture in a positive return market. 
Requirements
Developing and delivering discrete modules of software works for Linux.  The approach is discussed along with the constraints. 
Modularity
The page discusses the search dilemma.  It describes how evolution solves the dilemma.  It introduces some problems that impact non evolutionary searches and suggests some strategies for such situations. 
Search
The page describes the SWOT process.  That includes:
  • The classification of each event into strength weakness opportunity and threat.  
  • The clustering process for grouping the classified events into goals.  
  • How the clusters can support planning and execution. 
Operational SWOT matrices and clusters from the Adaptive Web Framework (AWF) are included as examples. 
SWOT
This page looks at schematic structures and their uses.  It discusses a number of examples:
  • Schematic ideas are recombined in creativity. 
  • Similarly designers take ideas and rules about materials and components and combine them. 
  • Schematic Recipes help to standardize operations. 
  • Modular components are combined into strategies for use in business plans and business models. 

As a working example it presents part of the contents and schematic details from the Adaptive Web Framework (AWF)'s operational plan. 

Finally it includes a section presenting our formal representation of schematic goals. 
Each goal has a series of associated complex adaptive system (CAS) strategy strings. 
These goals plus strings are detailed for various chess and business examples. 
Ideas & plans
The page reviews how complex systems can be analyzed. 
The resulting analysis supports evaluation of system events. 
The analysis enables categorization of different events into classes. 
The analysis helps with recombination of the models to enable creativity. 
The page advocates an iterative approach including support from models. 

Analysis
This page introduces some problems that make it hard for a business to execute effectively. 
It then presents a theory of execution. 
It describes what the theory says must be done to execute effectively. 
It reviews General Electric's use of adaptive planning to support effective execution. 
Then it details the execution requirements. 
Execution
This page uses an example to illustrate how:
  • A business can gain focus from targeting key customers,
  • Business planning activities performed by the whole organization can build awareness, empowerment and coherence. 
  • A program approach can ensure strategic alignment. 
Programs
This page describes the organizational forces that limit change.  It explains how to overcome them when necessary. 

Progress & tradition
This page uses the example of HP's printer organization freeing itself from its organizational constraints to sell a printer targeted at the IBM pc user. 
The constraints are described. 
The techniques to overcome them are implied. 
Tipping point
Meaning
Frames
Checklists
This page presents a search result list covering each linked region of rob's strategy studio. 


Search list
Glossary
References
Primary Navigation

Highlighting the emergent foundations of successful technology market strategies

Summary
Rob's Strategy Studio aims to celebrate and illuminate
This page introduces the complex adaptive system (CAS) theory frame.  The theory provides an organizing framework that is used by 'life.'  It can be used to evaluate and rank models that claim to describe our perceived reality.  It catalogs the laws and strategies which underpin the operation of systems that are based on the interaction of emergent agents.  It highlights the constraints that shape CAS and so predicts their form.  A proposal that does not conform is wrong. 

John Holland's framework for representing complexity is outlined.  Links to other key aspects of CAS theory discussed at the site are presented. 
complex adaptive systems (CAS) just as an art studio does art. 

By way of introduction it notes the complex interactions that led to the partnership that discovered the DNA (DNA), a polymer composed of a chain of deoxy ribose sugars with purine or pyrimidine side chains.  DNA naturally forms into helical pairs with the side chains stacked in the center of the helix.  It is a natural form of schematic string.  The purines and pyrimidines couple so that AT and GC pairs make up the stackable items.  A code of triplets of base pairs (enabling 64 separate items to be named) has evolved which now redundantly represents each of the 20 amino-acids that are deployed into proteins, along with triplets representing the termination sequence.  Chemical modifications and histone binding (chromatin) allow cells to represent state directly on the DNA schema.  To cope with inconsistencies in the cell wide state second messenger and evolved amplification strategies are used.   double helix, the structural helix generated when two DNA polymers nucleotide's pair and each polymer's bases stack.  The development of the structure is statistically unlikely and only possible when at each point the bases in one of the polymers are a match for the paired base in the other polymer.  The double helix is naturally redundant which has important evolutionary consequences due to the low error rate that can be achieved by leveraging the redundancy.  Because this structure becomes beneficial to emergence and can be preserved by natural selection it is available to provide a data base of recipes for the proteins deployed by the cell and a massive state space for supporting the operation of the cell. 
and genetic code, the mapping of DNA base triplet sequences, such as AAA and AAT, to amino-acids (AAA maps to the amino-acid lysine for example) and transcription termination sequences (TGA maps to stop transcription for example) that has currently evolved.  . 

The page introduces the RSS vision 'I act, therefore I think' approach and the RSS mission. 

It describes how many key aspects of the world are CAS including businesses. 

Finally the page explains each of the framed pictures displayed at the studio including the other aspects explored in this vision frame. 

Introduction
The discovery of the genetic code, the mapping of DNA base triplet sequences, such as AAA and AAT, to amino-acids (AAA maps to the amino-acid lysine for example) and transcription termination sequences (TGA maps to stop transcription for example) that has currently evolved.   is an instructive
This page discusses the mechanisms and effects of emergence underpinning any complex adaptive system (CAS).  Physical forces and constraints follow the rules of complexity.  They generate phenomena and support the indirect emergence of epiphenomena.  Flows of epiphenomena interact in events which support the emergence of equilibrium and autonomous entities.  Autonomous entities enable evolution to operate broadening the adjacent possible.  Key research is reviewed. 
emergent event. 

At the
Carlo Rovelli resolves the paradox of time. 
Rovelli initially explains that low level physics does not include time:
  • A present that is common throughout the universe does not exist
  • Events are only partially ordered.  The present is localized
  • The difference between past and future is not foundational.  It occurs because of state that through our blurring appears particular to us
  • Time passes at different speeds dependent on where we are and how fast we travel
  • Time's rhythms are due to the gravitational field
  • Our quantized physics shows neither space nor time, just processes transforming physical variables. 
  • Fundamentally there is no time.  The basic equations evolve together with events, not things 
Then he explains how in a physical world without time its perception can emerge:
  • Our familiar time emerges
    • Our interaction with the world is partial, blurred, quantum indeterminate
    • The ignorance determines the existence of thermal time and entropy that quantifies our uncertainty
    • Directionality of time is real but perspectival.  The entropy of the world in relation to us increases with our thermal time.  The growth of entropy distinguishes past from future: resulting in traces and memories
    • Each human is a unified being because: we reflect the world, we formed an image of a unified entity by interacting with our kind, and because of the perspective of memory
    • The variable time: is one of the variables of the gravitational field.  With our scale we don't register quantum fluctuations, making space-time appear determined.  At our speed we don't perceive differences in time of different clocks, so we experience a single time: universal, uniform, ordered; which is helpful to our decisions

time it probably seemed a risky career move when the young American virologist James Watson decided to join a team of physicists in distant Cambridge England who were using X-ray crystallography, crystallize a pure sample of a molecule and then use the diffraction effect of the repeating aligned molecules in the crystal on X rays to calculate the three dimensional structure of the molecule generating the diffraction patterns.   to try and identify the three dimensional structure of DNA (DNA), a polymer composed of a chain of deoxy ribose sugars with purine or pyrimidine side chains.  DNA naturally forms into helical pairs with the side chains stacked in the center of the helix.  It is a natural form of schematic string.  The purines and pyrimidines couple so that AT and GC pairs make up the stackable items.  A code of triplets of base pairs (enabling 64 separate items to be named) has evolved which now redundantly represents each of the 20 amino-acids that are deployed into proteins, along with triplets representing the termination sequence.  Chemical modifications and histone binding (chromatin) allow cells to represent state directly on the DNA schema.  To cope with inconsistencies in the cell wide state second messenger and evolved amplification strategies are used.  .  Except that Watson, as he recounts in Avoid boring people was driven and directed by a vision instilled after reading 'What is life?' The book where Watson recalls Erwin "Schrodinger elegantly laid out how
Plans emerge in complex adaptive systems (CAS) to provide the instructions that agents use to perform actions.  The component architecture and structure of the plans is reviewed. 
genes were the most important feature of life, since they maintained its continuity by carrying hereditary information from one generation to the next."  For Watson the move was a bet worth taking. 

The unfolding events that resulted in the discovery of the genetic code, the mapping of DNA base triplet sequences, such as AAA and AAT, to amino-acids (AAA maps to the amino-acid lysine for example) and transcription termination sequences (TGA maps to stop transcription for example) that has currently evolved.   demonstrate the emergent nature of much of our world.  Schrodinger's vision became part of Watson's goals.  Watson's academic connections introduced him to a variety of strategies for acting on the goals.  His training had introduced
The agents in complex adaptive systems (CAS) must model their environment to respond effectively to it.  Evolution's schematic operators and Samuel modeling together support the indirect recording of past successes and their strategic use by the current agent to learn how to succeed in the proximate environment. 
models that helped him evaluate the different available strategies and with some help from chance and
Agents use sensors to detect events in their environment.  This page reviews how these events become signals associated with beneficial responses in a complex adaptive system (CAS).  CAS signals emerge from the Darwinian information model.  Signals can indicate decision summaries and level of uncertainty. 
signals from other scientists he
Plans are interpreted and implemented by agents.  This page discusses the properties of agents in a complex adaptive system (CAS). 
It then presents examples of agents in different CAS.  The examples include a computer program where modeling and actions are performed by software agents.  These software agents are aggregates. 
The participation of agents in flows is introduced and some implications of this are outlined. 
acted on his judgment.  As a result the framework that enabled the core plan of life to emerge became accessible to all of us. 

RSS vision
The RSS is Rob's Strategy Studio vision "I act, therefore I think" reminds us that
This page reviews the implications of selection, variation and heredity in a complex adaptive system (CAS).  The mechanism and its emergence are discussed. 
evolution responds to actions, selected by adaptive in evolutionary biology is a trait that increased the number of surviving offspring in an organism's ancestral lineage.  Holland argues: complex adaptive systems (CAS) adapt due to the influence of schematic strings on agents.  Evolution indicates fitness when an organism survives and reproduces.  For his genetic algorithm, Holland separated the adaptive process into credit assignment and rule discovery.  He assigned a strength to each of the rules (alternate hypothesis) used by his artificial agents, by credit assignment - each accepted message being paid for by the recipient, increasing the sender agent's rule's strength (implicit modeling) and reducing the recipient's.  When an agent achieved an explicit goal they obtained a final reward.  Rule discovery used the genetic algorithm to select strong rule schemas from a pair of agents to be included in the next generation, with crossing over and mutation applied, and the resulting schematic strategies used to replace weaker schemas.  The crossing over genetic operator is unlikely to break up a short schematic sequence that provides a building block retained because of its 'fitness';  In Deacon's conception of evolution, an adaptation is the realization of a set of constraints on candidate mechanisms, and so long as these constraints are maintained, other features are arbitrary. 
Plans are interpreted and implemented by agents.  This page discusses the properties of agents in a complex adaptive system (CAS). 
It then presents examples of agents in different CAS.  The examples include a computer program where modeling and actions are performed by software agents.  These software agents are aggregates. 
The participation of agents in flows is introduced and some implications of this are outlined. 
agents,
Rather than oppose the direct thrust of some environmental flow agents can improve their effectiveness with indirect responses.  This page explains how agents are architected to do this and discusses some examples of how it can be done. 
indirectly through the architecture, replication and operation of the genetic code, the mapping of DNA base triplet sequences, such as AAA and AAT, to amino-acids (AAA maps to the amino-acid lysine for example) and transcription termination sequences (TGA maps to stop transcription for example) that has currently evolved.  .  Evolution ensures that agents emerge as
This page looks at schematic structures and their uses.  It discusses a number of examples:
  • Schematic ideas are recombined in creativity. 
  • Similarly designers take ideas and rules about materials and components and combine them. 
  • Schematic Recipes help to standardize operations. 
  • Modular components are combined into strategies for use in business plans and business models. 

As a working example it presents part of the contents and schematic details from the Adaptive Web Framework (AWF)'s operational plan. 

Finally it includes a section presenting our formal representation of schematic goals. 
Each goal has a series of associated complex adaptive system (CAS) strategy strings. 
These goals plus strings are detailed for various chess and business examples. 
strategic entities are, according to Abbott, a class including people, families, corporations, hurricanes.  They implement abstract designs and are demarcatable by their reduced entropy relative to their components.  Rovelli notes entities are a collection of relations and events, but memory and our continuous process of anticipation, organizes the series of quantized interactions we perceive into an illusion of permanent objects flowing from past to future.  Abbott identifies two types of entity:
  1. At equilibrium entities,
  2. Autonomous entities, which can control how they are affected by outside forces;
. 

Business entities are, according to Abbott, a class including people, families, corporations, hurricanes.  They implement abstract designs and are demarcatable by their reduced entropy relative to their components.  Rovelli notes entities are a collection of relations and events, but memory and our continuous process of anticipation, organizes the series of quantized interactions we perceive into an illusion of permanent objects flowing from past to future.  Abbott identifies two types of entity:
  1. At equilibrium entities,
  2. Autonomous entities, which can control how they are affected by outside forces;
 are
This page discusses the mechanisms and effects of emergence underpinning any complex adaptive system (CAS).  Physical forces and constraints follow the rules of complexity.  They generate phenomena and support the indirect emergence of epiphenomena.  Flows of epiphenomena interact in events which support the emergence of equilibrium and autonomous entities.  Autonomous entities enable evolution to operate broadening the adjacent possible.  Key research is reviewed. 
emergent and they operate in a highly interdependent environment.  Using a
This page introduces the complex adaptive system (CAS) theory frame.  The theory provides an organizing framework that is used by 'life.'  It can be used to evaluate and rank models that claim to describe our perceived reality.  It catalogs the laws and strategies which underpin the operation of systems that are based on the interaction of emergent agents.  It highlights the constraints that shape CAS and so predicts their form.  A proposal that does not conform is wrong. 

John Holland's framework for representing complexity is outlined.  Links to other key aspects of CAS theory discussed at the site are presented. 
theory of emergent adaptive systems coupled with a
This page introduces the programs that the Adaptive Web Framework (AWF) develops and uses to deploy Rob's Strategy Studio (RSS). 
The programs are structured to obey complex adaptive system (CAS) principles.  That allows AWF to experiment and examine the effects. 
A production program generates the web pages. 
A testing system tests the production program.  It uses a framework to support the test programs.  This is AWF's agent programming framework as described in the agent-based programming presentation. 
An example of the other AWF agent-based programs that are also described in the frame is the virtual robot. 
Finally a strength, weaknesses, opportunities and threats assessment is presented. 
software platform to instantiate it allows Rob's Strategy Studio (RSS) to
Walter Shewhart's iterative development process is found in many complex adaptive systems (CAS).  The mechanism is reviewed and its value in coping with random events is explained. 
iteratively research and develop concepts and mechanisms associated with a broad set of adaptive in evolutionary biology is a trait that increased the number of surviving offspring in an organism's ancestral lineage.  Holland argues: complex adaptive systems (CAS) adapt due to the influence of schematic strings on agents.  Evolution indicates fitness when an organism survives and reproduces.  For his genetic algorithm, Holland separated the adaptive process into credit assignment and rule discovery.  He assigned a strength to each of the rules (alternate hypothesis) used by his artificial agents, by credit assignment - each accepted message being paid for by the recipient, increasing the sender agent's rule's strength (implicit modeling) and reducing the recipient's.  When an agent achieved an explicit goal they obtained a final reward.  Rule discovery used the genetic algorithm to select strong rule schemas from a pair of agents to be included in the next generation, with crossing over and mutation applied, and the resulting schematic strategies used to replace weaker schemas.  The crossing over genetic operator is unlikely to break up a short schematic sequence that provides a building block retained because of its 'fitness';  In Deacon's conception of evolution, an adaptation is the realization of a set of constraints on candidate mechanisms, and so long as these constraints are maintained, other features are arbitrary. 
systems including businesses and biological systems. 

The software platform is agent generated infrastructure that supports emergence of an entity through: leverage of an abundant energy source, reusable resources; attracting a phenotypically aligned network of agents. 
supports the instantiation of adaptive in evolutionary biology is a trait that increased the number of surviving offspring in an organism's ancestral lineage.  Holland argues: complex adaptive systems (CAS) adapt due to the influence of schematic strings on agents.  Evolution indicates fitness when an organism survives and reproduces.  For his genetic algorithm, Holland separated the adaptive process into credit assignment and rule discovery.  He assigned a strength to each of the rules (alternate hypothesis) used by his artificial agents, by credit assignment - each accepted message being paid for by the recipient, increasing the sender agent's rule's strength (implicit modeling) and reducing the recipient's.  When an agent achieved an explicit goal they obtained a final reward.  Rule discovery used the genetic algorithm to select strong rule schemas from a pair of agents to be included in the next generation, with crossing over and mutation applied, and the resulting schematic strategies used to replace weaker schemas.  The crossing over genetic operator is unlikely to break up a short schematic sequence that provides a building block retained because of its 'fitness';  In Deacon's conception of evolution, an adaptation is the realization of a set of constraints on candidate mechanisms, and so long as these constraints are maintained, other features are arbitrary. 
Plans are interpreted and implemented by agents.  This page discusses the properties of agents in a complex adaptive system (CAS). 
It then presents examples of agents in different CAS.  The examples include a computer program where modeling and actions are performed by software agents.  These software agents are aggregates. 
The participation of agents in flows is introduced and some implications of this are outlined. 
agents.  The agents initially implemented a simplified
This page describes a schematic system about abstracted neurons operating in a circuit. 
The neuronal system was designed to focus in on the cellular nature of a schematically defined neuron. 
The goals include:
  • Development of a system of cells, their differentiation and deployment into a neuron network. 
  • Abstract receptor operation must support interactions of a network of neurons and attached cells. 
THE IMPLEMENTATION IS INCOMPLETE AND ONGOING. 
The codelets and infrastructure are included. 
biological cell assigned the goal of
To benefit from shifts in the environment agents must be flexible.  Being sensitive to environmental signals agents who adjust strategic priorities can constrain their competitors. 
flexibly
This page describes the Adaptive Web framework (AWF) test system and the agent programming framework (Smiley) that supports its operation. 
Example test system statements are included.  To begin a test a test statement is loaded into Smiley while Smiley executes on the Perl interpreter. 
Part of Smiley's Perl code focused on setting up the infrastructure is included bellow. 
The setup includes:
  • Loading the 'Meta file' specification,
  • Initializing the Slipnet, and Workspaces and loading them
  • So that the Coderack can be called. 
The Coderack, which is the focus of a separate page of the Perl frame then schedules and runs the codelets that are invoked by the test statement structures. 
testing a computer program and its specification.  To perform the testing the cell infrastructure includes:
This page describes the specialized codelets that provide life-cycle and checkpoint capabilities for Smiley applications. 
The codelets implement a Shewhart cycle. 
The structural schematic nature of the cycle is described. 
Transcription factor codelets operate the phase change controls. 
How inhibitory agents are integrated into the cycle is described. 
An application agent with management and operational roles emerges. 
The codelets and supporting functions are included. 
cell cycle management,
This page describes a schematic system about abstracted neurons operating in a circuit. 
The neuronal system was designed to focus in on the cellular nature of a schematically defined neuron. 
The goals include:
  • Development of a system of cells, their differentiation and deployment into a neuron network. 
  • Abstract receptor operation must support interactions of a network of neurons and attached cells. 
THE IMPLEMENTATION IS INCOMPLETE AND ONGOING. 
The codelets and infrastructure are included. 
receptors and
This page discusses how Smiley provides signalling to its agent-based applications. 
Alternative strategies for initiating the signalling are reviewed. 
The codelets and supporting functions are included.
signals, membranes, formed from a lipid (fat) bilayer which creates a barrier between aqueous (water soluble) media.  In AWF a key property of membranes - their providing a catalytic environment and supporting the suspension of enzymatically active proteins within the membrane; is simulated with a Workspace list where 'active' structures can be inserted and codelets can detect and act on the structure's active promise configured as an association in the Slipnet.   and membrane transports, nuclear genetic material and
This page describes the 'merge streams' application's codelet implementation of a 'case' architecture based on the adaptive web framework's (AWF) Smiley histone infrastructure. 
The application scenario for processing case statements is described. 
It involves a schematic binder complex for resolving the case statements. 
A case tagged application schemata. 
The Smiley infrastructure that supports the case architecture is reviewed. 
The Workspace schematic strings that implement the operon supporting histone like case control are included. 
The Slipnet concept network for the 'merge streams' application's histone like case control is included. 
The codelets and supporting functions are included. 
histones,
This page discusses how Smiley provides deployment guarantees to its agent-based applications. 
Smiley's transaction services are reviewed. 
The complex interactions of codelets participating in a deployment cascade are discussed including: 
  • The implementation of schematic switches. 
  • The cooperative use of goal suppression.  
  • Evaluator codelets promotion of other siblings. 
Challenges of initiation of a cascade are discussed. 
Tools to associate transaction protection to an operon deployed codelet are described. 
Special support for sub-program codelets is described.  Completion of transactional sub-programs presents special challenges.  Priority and synchronization support includes:
  • Delaying the operaton of the cascade sponsor. 
  • Delaying the notgcompleting cascade participant. 
  • Waiting for completion of parallel operations with the wait and relay service.  
The need to sustain resource pools is reviewed. 
The use of signals to coordinate siblings is described. 
The structural binding operon for the wait and relay service is included. 
The codelets and supporting functions are included.
transcription services and operational deployment services.  Over
Carlo Rovelli resolves the paradox of time. 
Rovelli initially explains that low level physics does not include time:
  • A present that is common throughout the universe does not exist
  • Events are only partially ordered.  The present is localized
  • The difference between past and future is not foundational.  It occurs because of state that through our blurring appears particular to us
  • Time passes at different speeds dependent on where we are and how fast we travel
  • Time's rhythms are due to the gravitational field
  • Our quantized physics shows neither space nor time, just processes transforming physical variables. 
  • Fundamentally there is no time.  The basic equations evolve together with events, not things 
Then he explains how in a physical world without time its perception can emerge:
  • Our familiar time emerges
    • Our interaction with the world is partial, blurred, quantum indeterminate
    • The ignorance determines the existence of thermal time and entropy that quantifies our uncertainty
    • Directionality of time is real but perspectival.  The entropy of the world in relation to us increases with our thermal time.  The growth of entropy distinguishes past from future: resulting in traces and memories
    • Each human is a unified being because: we reflect the world, we formed an image of a unified entity by interacting with our kind, and because of the perspective of memory
    • The variable time: is one of the variables of the gravitational field.  With our scale we don't register quantum fluctuations, making space-time appear determined.  At our speed we don't perceive differences in time of different clocks, so we experience a single time: universal, uniform, ordered; which is helpful to our decisions

time the implementation became a multi-cell cooperative network. 

RSS mission
The RSS is Rob's Strategy Studio mission aims at the
Plans emerge in complex adaptive systems (CAS) to provide the instructions that agents use to perform actions.  The component architecture and structure of the plans is reviewed. 
schematic strategy driven development of
This web page reviews opportunities to enhance computing theory and practice by using biological mechanisms and complex adaptive system (CAS) theory. 
massive distributed software solutions with a cell based architecture and platform is agent generated infrastructure that supports emergence of an entity through: leverage of an abundant energy source, reusable resources; attracting a phenotypically aligned network of agents. 
. 

The software (
This page describes the Adaptive Web framework (AWF) test system and the agent programming framework (Smiley) that supports its operation. 
Example test system statements are included.  To begin a test a test statement is loaded into Smiley while Smiley executes on the Perl interpreter. 
Part of Smiley's Perl code focused on setting up the infrastructure is included bellow. 
The setup includes:
  • Loading the 'Meta file' specification,
  • Initializing the Slipnet, and Workspaces and loading them
  • So that the Coderack can be called. 
The Coderack, which is the focus of a separate page of the Perl frame then schedules and runs the codelets that are invoked by the test statement structures. 
Smiley) is an extended Copycat (
This page discusses the interdependence of perception and representation in a complex adaptive system (CAS).  Hofstadter and Mitchell's research with Copycat is reviewed.  The bridging of a node from a network of 'well known' percepts to a new representational instance is discussed as it occurs in biochemistry, in consciousness and abstractly. 
perception and representation) architecture, implemented in Perl.  Copycat is repurposed from Hofstadter and Mitchell's analogy making to the simulation of a biological cell is a relatively large multi-component cell type.  It initially emerged from prokaryotic archaea subsuming eubacteria, from which single and multi-celled plants, multi celled fungi, including single-cell variant yeast, drips, protozoa and metazoa, including humans, are constructed.  A eukaryotic cell contains modules including a nucleus and production functions such as chloroplasts and mitochondria. 
.  The extensions to Copycat include:
This page describes the Smiley infrastructure and codelets that instantiate the epiphenomena defined in the Meta file and Slipnet. 
Infrastructure sensors are introduced. 
The role of phenomena in shaping the environment is discussed. 
The focusing of forces by phenomena in Smiley is discussed. 
The Meta file association of case keywords with phenomena is included. 
The codelets and supporting functions are included. 
token based phenomena aggregating as keyword associated concepts,
This page describes the Smiley infrastructure that supports the associative binding of schematic strings to codelets defined in the Meta file and Slipnet. 
The infrastructure supporting the associations is introduced. 
The role of Jeff Hawkins neocortical attributes is discussed. 
Relevant Slipnet configurations are included. 
The codelets and supporting functions are included. 
associative references in the
This page describes the Copycat Slipnet. 
The goal of the Slipnet is reviewed. 
Smiley's specialized use of the Slipnet is introduced. 
The initial Slipnet network used by the 'Merge Streams' and 'Virtual Robot' agent-based applications is setup in initchemistry and is included. 
The Slipnet infrastructure and initialization functions are included. 
Slipnet and
This page describes the adaptive web framework (AWF) Smiley agent progamming infrastructure's codelet based Copycat grouping operation. 
The requirements needed for a group to complete are described. 
The association of group completion with a Slipnet defined operon is described.  Either actions or signals result from the association. 
How a generated signal is transported to the nucleus of the cell and matched with an operon is described. 
A match with an operon can result in deployment of a schematic string to the original Workspace.  But eventually the deployed string will be destroyed. 
Smiley infrastructure amplification of the group completion operation is introduced.  This includes facilities to inhibit crowding out of offspring. 
A test file awfart04 is included. 
The group codelet and supporting functions are included. 
schematic groupings in the
This page describes the Copycat Workspace. 
The specialized use of the Workspace by the adaptive web framework's (AWF) Smiley is discussed. 
How text and XML are imported into the Smiley Workspace is described. 
Telomeric aging of schematic structures is introduced. 
The internal data structure used to represent the state of each workspace object is included. 
The Workspace infrastructure functions are included. 
Workspace.  Each component of the cell is formed from Copycat codelets building structures in the Workspace. 

RSS is Rob's Strategy Studio is a self-funded research and development studio in Santa Clara California. 

The real world is full of CAS
Many real world situations are
This page discusses the mechanisms and effects of emergence underpinning any complex adaptive system (CAS).  Physical forces and constraints follow the rules of complexity.  They generate phenomena and support the indirect emergence of epiphenomena.  Flows of epiphenomena interact in events which support the emergence of equilibrium and autonomous entities.  Autonomous entities enable evolution to operate broadening the adjacent possible.  Key research is reviewed. 
emergent and can be best understood as
This page introduces the complex adaptive system (CAS) theory frame.  The theory provides an organizing framework that is used by 'life.'  It can be used to evaluate and rank models that claim to describe our perceived reality.  It catalogs the laws and strategies which underpin the operation of systems that are based on the interaction of emergent agents.  It highlights the constraints that shape CAS and so predicts their form.  A proposal that does not conform is wrong. 

John Holland's framework for representing complexity is outlined.  Links to other key aspects of CAS theory discussed at the site are presented. 
complex adaptive systems (CAS). 
Barton Gellman details the strategies used by Vice President Cheney to align the global system with his economics, defense, and energy goals. 
Nation states, economies is a human SuperOrganism complex adaptive system (CAS) which operates and controls trade flows within a rich niche.  Economics models economies.  Robert Gordon has described the evolution of the American economy.  Like other CAS, economic flows are maintained far from equilibrium by: demand, financial flows and constraints, supply infrastructure constraints, political and military constraints; ensuring wealth, legislative control, legal contracts and power have significant leverage through evolved amplifiers. 
,
Lou Gerstner describes the challenges he faced and the strategies he used to successfully restructure the computer company IBM. 
businesses, high tech R&D labs,
Richard Dawkin's explores how nature has created implementations of designs, without any need for planning or design, through the accumulation of small advantageous changes. 
living organisms and even a game of Chess are all
We are products of complexity, but our evolution has focused our understanding on the situation of hunter gatherers on the African savanna.  As humanity has become more powerful we can significantly impact the systems we depend on.  But we struggle to comprehend them.  So this web frame explores significant real world complex adaptive systems (CAS):
  • Assumptions of randomness & equilibrium allowed the wealthy & powerful to expand the size and leverage of stock markets, by placing at risk the insurance and retirement savings of the working class.  The assumptions are wrong but remain entrenched. 
  • The US nation was built from two divergent political views of: Jefferson and Hamilton.  It also reflects the development of competing ancient ideas of Epicurus and Cyril.  But the collapse of Bretton Woods forced Wall Street into a position of power, while the middle and working class were abandoned by the elites.  Housing financed with cash from oil and derivative transactions helped hide the shift. 
  • Most US health care is still operating the way cars built in the 1940s did.  Geisinger is an example of better solution.  But transforming the whole network is a challenge.  And public health investment has proved far more beneficial.  
  • Helping our children learn to be effective adults is part of our humanity, but we have created a robust but deeply flawed education system.  Better alternatives have emerged.  
  • Spoken language, reading and writing emerged allowing our good ideas to become a second genetic material. 
  • The emergence of the global economy in the 1600s and its subsequent development; 
It explains how the examples relate to each other, why we all have trouble effectively comprehending these systems and explains how our inexperience with CAS can lead to catastrophe.  It outlines the items we see as key to the system and why. 

CAS and are better understood when viewed as such. 

In the Innovator's solution Clayton Christensen and Michael Raynor champion a market segmentation strategy they call "job-to-be-done."  As an example they hypothesize, with no specialized knowledge that RIM's Blackberry was helping to make its business users be productive in small snippets of
Carlo Rovelli resolves the paradox of time. 
Rovelli initially explains that low level physics does not include time:
  • A present that is common throughout the universe does not exist
  • Events are only partially ordered.  The present is localized
  • The difference between past and future is not foundational.  It occurs because of state that through our blurring appears particular to us
  • Time passes at different speeds dependent on where we are and how fast we travel
  • Time's rhythms are due to the gravitational field
  • Our quantized physics shows neither space nor time, just processes transforming physical variables. 
  • Fundamentally there is no time.  The basic equations evolve together with events, not things 
Then he explains how in a physical world without time its perception can emerge:
  • Our familiar time emerges
    • Our interaction with the world is partial, blurred, quantum indeterminate
    • The ignorance determines the existence of thermal time and entropy that quantifies our uncertainty
    • Directionality of time is real but perspectival.  The entropy of the world in relation to us increases with our thermal time.  The growth of entropy distinguishes past from future: resulting in traces and memories
    • Each human is a unified being because: we reflect the world, we formed an image of a unified entity by interacting with our kind, and because of the perspective of memory
    • The variable time: is one of the variables of the gravitational field.  With our scale we don't register quantum fluctuations, making space-time appear determined.  At our speed we don't perceive differences in time of different clocks, so we experience a single time: universal, uniform, ordered; which is helpful to our decisions

time.  They suggested RIM should focus on targeted features for these users.  The result was assumed to be the successful protection of RIM's market for specialized mobile email devices for business users.  It's a legitimate approach but with the arrival of the iPhone and hindsight we can see that many specialized device markets are threatened by iPhone style general purpose devices.  The iPhone business was
This page discusses the mechanisms and effects of emergence underpinning any complex adaptive system (CAS).  Physical forces and constraints follow the rules of complexity.  They generate phenomena and support the indirect emergence of epiphenomena.  Flows of epiphenomena interact in events which support the emergence of equilibrium and autonomous entities.  Autonomous entities enable evolution to operate broadening the adjacent possible.  Key research is reviewed. 
emergent, and
This page reviews Christensen's disruption of a complex adaptive system (CAS).  The mechanism is discussed with examples from biology and business. 
disruptive to Christensen's specialized device businesses. 

Who really prefers carrying three tools when one will do the job well enough? Who else but Apple could have been expected to achieve this in an app phone?  Jobs could act as the
This page looks at schematic structures and their uses.  It discusses a number of examples:
  • Schematic ideas are recombined in creativity. 
  • Similarly designers take ideas and rules about materials and components and combine them. 
  • Schematic Recipes help to standardize operations. 
  • Modular components are combined into strategies for use in business plans and business models. 

As a working example it presents part of the contents and schematic details from the Adaptive Web Framework (AWF)'s operational plan. 

Finally it includes a section presenting our formal representation of schematic goals. 
Each goal has a series of associated complex adaptive system (CAS) strategy strings. 
These goals plus strings are detailed for various chess and business examples. 
visionary sponsor and gatekeeper, iPod & iTunes store strategy (profitable razor & volume profit constraining blades) showed how Apple could
Plans change in complex adaptive systems (CAS) due to the action of genetic operations such as mutation, splitting and recombination.  The nature of the operations is described. 
evolve the iPod's competitive advantage to
This page reviews the inhibiting effect of the value delivery system on the expression of new phenotypic effects within an agent. 
drive forward a computer plus phone business.  Apple's isolated & internally integrated business models allowed them to act quickly and
To benefit from shifts in the environment agents must be flexible.  Being sensitive to environmental signals agents who adjust strategic priorities can constrain their competitors. 
flexibly - enabling them to leverage the
This page reviews the catalytic impact of infrastructure on the expression of phenotypic effects by an agent.  The infrastructure reduces the cost the agent must pay to perform the selected action.  The catalysis is enhanced by positive returns. 
benefit of:
This page discusses the effect of the network on the agents participating in a complex adaptive system (CAS).  Small world and scale free networks are considered. 
positive returns, increased network integration to the App/iTunes web stores and
This page reviews the strategy of setting up an arms race.  At its core this strategy depends on being able to alter, or take advantage of an alteration in, the genome or equivalent.  The situation is illustrated with examples from biology, high tech and politics. 
added value relationships with developers; the Apple computer product history ensured the models provided awareness of the creative potential of a
This page describes the consequences of the asymmetries caused by genotypic traits creating a phenotypic signal in males and selection activity in the female - sexual selection.   
The impact of this asymmetry is to create a powerful alternative to natural selection with sexual selection's leverage of positive returns.  The mechanisms are described. 
cool, small, computer plus phone with a flexible user interface, and lots of applications.  Apple's emerging position appears remarkably similar to that of the original IBM!

A typical business is composed of:
And a set of functions:
Each function composed of networks of human agents working as
Companies, such as Hewlett-Packard, Genentech and IBM, have chosen differing approaches to maintaining profit from operations.  Each has demonstrated the adaptability to
Strategy gives way to tactics.  If you your company or other emergent system collapse there is no further possibility of strategic action.  This page discusses the importance of sustaining the base of operations to support subsequent strategic action. 
survive over decades.  The control function of each is architected to provide an adaptive in evolutionary biology is a trait that increased the number of surviving offspring in an organism's ancestral lineage.  Holland argues: complex adaptive systems (CAS) adapt due to the influence of schematic strings on agents.  Evolution indicates fitness when an organism survives and reproduces.  For his genetic algorithm, Holland separated the adaptive process into credit assignment and rule discovery.  He assigned a strength to each of the rules (alternate hypothesis) used by his artificial agents, by credit assignment - each accepted message being paid for by the recipient, increasing the sender agent's rule's strength (implicit modeling) and reducing the recipient's.  When an agent achieved an explicit goal they obtained a final reward.  Rule discovery used the genetic algorithm to select strong rule schemas from a pair of agents to be included in the next generation, with crossing over and mutation applied, and the resulting schematic strategies used to replace weaker schemas.  The crossing over genetic operator is unlikely to break up a short schematic sequence that provides a building block retained because of its 'fitness';  In Deacon's conception of evolution, an adaptation is the realization of a set of constraints on candidate mechanisms, and so long as these constraints are maintained, other features are arbitrary. 
response to changes in its
The complex adaptive system (CAS) nature of a value delivery system is first introduced.  It's a network of agents acting as relays. 

The critical nature of hub agents and the difficulty of altering an aligned network is reviewed. 

The nature of and exceptional opportunities created by platforms are discussed. 

Finally an example of aligning a VDS is presented. 
environment. 
The agents in complex adaptive systems (CAS) must model their environment to respond effectively to it.  Evolution's schematic operators and Samuel modeling together support the indirect recording of past successes and their strategic use by the current agent to learn how to succeed in the proximate environment. 
CAS modeling allows us to understand and leverage this response. 

RSS frame notes - We 'frame' a list of html pages to aggregate them into a written 'picture'
The RSS is Rob's Strategy Studio site is a network of pages organized into frames.  Particular pages in a frame will focus on a specific aspect of the overall frame topic.  It will leave other pages in the frame to cover other aspects. 

The pictures framed at the gallery include:

Highly influential philosophic, economic is the study of trade between humans.  Traditional Economics is based on an equilibrium model of the economic system.  Traditional Economics includes: microeconomics, and macroeconomics.  Marx developed an alternative static approach.  Limitations of the equilibrium model have resulted in the development of: Keynes's dynamic General Theory of Employment Interest & Money, and Complexity Economics.  Since trading depends on human behavior, economics has developed behavioral models including: behavioral economics. 
and sociological models are extensions of the Newtonian physical framework. 
introduce CAS modeling of these high level aspects of our world.  Extending modeling beyond physical analogs to complex evolved networks of agents allows theory to align with practice in an environment shaped by man. 

We hope you enjoy the site and look forward to your comments. 





























































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integrating quality appropriate for each market
 
This page looks at schematic structures and their uses.  It discusses a number of examples:
  • Schematic ideas are recombined in creativity. 
  • Similarly designers take ideas and rules about materials and components and combine them. 
  • Schematic Recipes help to standardize operations. 
  • Modular components are combined into strategies for use in business plans and business models. 

As a working example it presents part of the contents and schematic details from the Adaptive Web Framework (AWF)'s operational plan. 

Finally it includes a section presenting our formal representation of schematic goals. 
Each goal has a series of associated complex adaptive system (CAS) strategy strings. 
These goals plus strings are detailed for various chess and business examples. 
Strategy | Design |
This page uses an example to illustrate how:
  • A business can gain focus from targeting key customers,
  • Business planning activities performed by the whole organization can build awareness, empowerment and coherence. 
  • A program approach can ensure strategic alignment. 
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