Perl frame
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Perl code examples

Summary
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
This presentation applies complex adaptive system (CAS) agents to computer programming. 
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. 
Introduction
The pages in this web frame describe Perl is Larry Wall's programming language.  It is designed to make easy tasks easy and hard tasks possible.  It has powerful text processing features and can interpret a string of text as code. 
code fragments which implemented a simulation of a biological cell, a relatively large multi-component cell type from which yeast and multi-celled plants and animals, including humans, is constructed.  It contains modules including a nucleus and production functions such as mitochondria.   architecture, using complex adaptive system (
This page introduces the complex adaptive system (CAS) theory frame.  The theory is positioned relative to the natural sciences.  It catalogs the laws and strategies which underpin the operation of systems that are based on the interaction of emergent agents. 
John Holland's framework for representing complexity is outlined.  Links to other key aspects of CAS theory discussed at the site are presented. 
CAS
) principles.  The biological cell is a low level adaptive system implemented directly by chemical, molecules obtain chemical properties from the atoms from which they are composed and from the environment in which they exist.  Being relatively small they are subject to phenomena which move them about, inducing collisions and possibly reactions with other molecules.  AWF's Smiley simulates a chemical environment including associating the 'molecule' like strings  with codelet based forces that allow the strings to react based on their component parts, sequence etc. 
and physical
This page discusses the physical foundations of complex adaptive systems (CAS).  A small set of rules is obeyed.  New [epi]phenomena then emerge.  Examples are discussed. 
phenomena
.  The web frame pages were developed to bring different aspects of the complex system into focus.  A strengths, weaknesses, opportunities and threats table (SWOT) illustrates the potential and challenges of the CAS approach. 

general flow rate architecture

The simulated cell architecture has a number of interacting parts. 
Perl CAS production system
There is a production system, which is relatively autonomous, analogous to the eukaryotic, a relatively large multi-component cell type from which yeast and multi-celled plants and animals, including humans, is constructed.  It contains modules including a nucleus and production functions such as mitochondria.   Cell's organelles such as mitochondria are the energy molecule generating production functions of eukaryotic cells.  They are vestigial blue-green bacteria with their own DNA and infrastructure.  Unlike stand-alone bacteria they also use the eukaryotic host DNA and infrastructure for some functions.  The high energy molecules are nucleotides with a high energy phosphate bond.  The most used high energy molecule is Adenosine-tri-phosphate.   and chloroplasts are the light energy capturing production functions of eukaryotic plant cells.  They are vestigial blue-green bacteria with their own DNA and infrastructure. 

Supporting and controlling the
Flows of different kinds are essential to the operation of complex adaptive systems (CAS). 
Example flows are outlined.  Constraints on flows support the emergence of the systems.  Examples of constraints are discussed. 
flows
in and out of the production system is a super-structure.  Both the super-structure and production functions are subject to the control of
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. 
genetic operators
and selection pressure from a testing system

One aspect of the production system is a separation of process & operation flows based on Shigeo Shingo's Toyota study.  It turns out that the nature of the transaction is an operation which guarantees to complete a defined set of activities or return to the initial state.  For a fee the postal service will ensure that a parcel is delivered to its recipient or will return the parcel to the sender.  To provide the service it may have to undo the act of trying to deliver the parcel with a compensating action.  Since the parcel could be lost or destroyed the service may have to return an equivalent value to the sender. 
hugely impacts the costs and benefits of techniques that can be applied to the processes and operations.  It is no surprise that optimizations of CAS transactions, such as occur in health care, have generally increased system costs and undermined effectiveness. 
Perl CAS testing framework
From a
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 perspective
the
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 process
is more interesting with an
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. 
indirect approach
to specification, specialization and control.  It aims to provide a feedback loop for the genetic operators.  The selection pressure applied to 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. 
schema population
used in developing the test systems will encourage the application of the genetic operations.  Assertions is a hypothesis which can be tested and found to be true or false.  In the adaptive web framework's (AWF) Smiley assertion statements are used to define the test that will be applied by the application's codelets.  The statements must include schematic strings which can group complete and become associated with codelets.  Smileys own codelets: Coderack generated part and statement enforces the syntax of the assertion.  The specific form of the statements is defined in the application's Meta file.  Statement codelets also support the operation of the application's Shewhart cycle. 
are tested against operational flows with expected and actual results compared using codelets (and
This page discusses the mechanisms and effects of emergence underpinning any complex adaptive system (CAS).  Key research is reviewed. 
emergent
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
aggregated from codelets including: development,
This page discusses how a Smiley based application the event processor test program's operational phase is structured. 
The goals of the event processor test application are described. 
The implementation strategy is outlined. 
Synchronization of Smiley setup completion and operation phase initiation is discussed. 
The association of structural Workspaces for state representation is discussed. 
An application specific codelet merge streams assert responds to the nature of the assertion.  It does not have an emergent structure.  Instead it reflects software engineering practice.  It includes:
  • Merge stream case specific
    • Modeling with sub-programs
    • Resolving of case
  • Non case assertion
The operation is setup, inhibited, initiated, and managed by iterative phase check-pointing provided by Smiley codelets. 
Schematic synchronization of parallel codelet cascades is performed structurally. 
The assert merge operon cascade is included. 
The Slipnet concept network for merge streams is included. 
The codelets and supporting functions are included. 
merge streams
;) operating on a
This page describes the Copycat Coderack. 
The details of the codelet architecture are described. 
The specialized use of the Coderack by the adaptive web framework's (AWF) Smiley is discussed. 
The codelet scheduling mechanism is discussed. 
A variety of Smiley extensions to the Coderack are reviewed. 
The Coderack infrastructure functions are included. 
Coderack
, conforming to Hofstadter & Mitchell's 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. 
perception & representation
architecture. 

Copycat's Coderack helps the codelets to dynamically adapt concepts from its
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
, essentially a representation of the physical and chemical relations, to the current context represented as local state in a
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

Virtual robot genetic algorithm
The action of genetic operators is demonstrated, by
This page discusses a complex adaptive system (CAS) implementation of a genetic algorithm (GA), Melanie Mitchell's robot-janitor built as a set of Copycat codelets integrated using agent-based programming.  The improvement in the operation of the robots over succeeding generations of applying the GA is graphed. 

The CAS that generated, and operated the robot is reviewed, including the implementation details and codelet operational program flow, and the challenges and limitations of this implementation. 

The schematic strings which make up the robot's genotype, as well as the signals which are sent to the nucleus of the robot's agents so that the agents can deploy the appropriate response strings (which activate codelets) are listed.  The Slipnet configuration required by the system to associate the schematic strings with programmatic forces (codelets) is also listed.  The codelets and supporting perl are also listed. 

In the conclusion the limitations of the robot-janitor abstraction in studying emergence and creative evolution are discussed and alternative experimental frameworks are proposed.  One such, the schematic cell is the subject of a separate page in this web frame. 

Mitchell's robot-janitor
, using the dog breading repeatedly applies the recombination genetic operation to generate variation and then applies selection.  There is little possibility of mutation contributing to the variation but the rich tool bag of alleles present in the breeding population is leveraged in generating 'new' characteristics.   like schematic recombination of Holland's genetic algorithm.  In this implementation model receptor, in biological cells these proteins are able to span the cell membrane and present an active site which is tailored to interact with a specific signal.  When the receptor pairs with its signal, its overall shape changes resulting in changes in the part internal to the cell which can be relayed by the cells signalling infrastructure.  In neuron synapses one type of receptor (fast) is associated with an ion channel.  The other (slow) is associated with a signalling enzyme chain and modulates the neuron's response. 
codelets are schematically associated with various action codelets.  The
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. 
genetic algorithm
alters the associations to create a new population of robots.  The presence of schemata allows the codelet aggregates to be extended to enable emergent exploration of the robot's environment. 
CAS Strengths, Weaknesses, Opportunities and Threats (
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
)
Complex adaptive systems (
This page introduces the complex adaptive system (CAS) theory frame.  The theory is positioned relative to the natural sciences.  It catalogs the laws and strategies which underpin the operation of systems that are based on the interaction of emergent agents. 
John Holland's framework for representing complexity is outlined.  Links to other key aspects of CAS theory discussed at the site are presented. 
CAS
) theory can be used as a strategic constraint.  The implications are analysed with the SWOT technique. 

Strengths:
  1. Agents are associations of schematic strings and structural workspace state. 
  2. Agents adapt to situation.  
  3. Development activities get in the details of CAS and infrastructure
  4. Metrics and tools provide a view of system operation
  5. 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. 
    Management codelets
    demonstrate
    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. 
    Shewhart cycle
  6. Planning framework well developed
  7. 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. 
    Flexibility

  8. 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. 
    Indirection

  9. Metafile token phenomena associated keywords
  10. 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. 
    Label association
    framework
  11. 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. 
    Work space
    based chemical environments,
    This web page reviews opportunities to find and capture new niches based on studying fitness landscapes using complex adaptive system (CAS) theory. 
    adjacent possible
    & molecular
    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. 
    schemata

  12. Testing of schematic operations
  13. 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. 
    Epiphenomenal
    forces instantiated as schemata associated codelets
  14. The agents in complex adaptive systems (CAS) must model their environment to respond effectively to it.  Samuel modeling is described as an approach. 
    Model
    based
    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
    and
    This page discusses the interdependence of perception and representation in a complex adaptive system (CAS).  Hofstadter and Mitchell's research with Copycat is reviewed. 
    perceptions
  15. 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.
    Signalling
    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. 
    operon controlled
    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.
    cascades
    of structural codelet aggregates
Weaknesses:
  1. Crowding out hard to detect and control.
  2. State representation builds up slowly.  
  3. Performance orders of magnitude too slow to be useful.
  4. Caches are hard to represent in secondary storage. 
  5. Parallel procedure operation is complex to program and debug.  
  6. No replication developed.  
  7. Descriptors are too direct and specific.  Cells use more structural associations.  The deployment of Workspace structure can then present tags for chance to leverage.  
  8. 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. 
    Constraining mutation
    adds complexity through additional indirection
  9. Mutational access to
    This web page reviews opportunities to find and capture new niches based on studying fitness landscapes using complex adaptive system (CAS) theory. 
    adjacent possible
    not proved
  10. No visual editor for filters or control streams
Opportunities:
  1. Adaptive sensor network for a car or house.  
  2. Teaching about CAS.
  3. Programming environment for CAS operation.
  4. Good alignment of strategy schemata and adaptive web framework (AWF) architecture.
  5. This page reviews Christensen's disruption of a complex adaptive system (CAS).  The mechanism is discussed with examples from biology and business. 
    Disruption

  6. Barriers are particular types of constraints on flows.  They can enforce separation of a network of agents allowing evolution to build diversity.  Examples of different types of barriers and their effects are described. 
    Barriers
    enabling the
    This page reviews the implications of selection, variation and heredity in a complex adaptive system (CAS).  The mechanism and its emergence are discussed. 
    evolution
    of
    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. 
    new ideas & plans
  7. Test bench for
    Flows of different kinds are essential to the operation of complex adaptive systems (CAS). 
    Example flows are outlined.  Constraints on flows support the emergence of the systems.  Examples of constraints are discussed. 
    flows
    ,
    This page discusses the tagging of signals in a complex adaptive system (CAS).  Tagged signals can be used to control filtering of an event stream.  Examples of CAS filters are reviewed. 
    tag-filtered
    web frames and
    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. 
    infrastructure
    amplifiers
  8. 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. 
    Agent
    aggregates of schematic codelets
  9. Moving beyond Boltzmann statistics to
    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. 
    evolved amplifiers
  10. Indirect schematic operations gain access to adjacent possible
  11. This page describes a schematic system about abstracted 'animal' and 'plant' cells competing in a small world. 
    The schematic cell was designed to focus in on the nature of mutation and the adjacent possible. 
    THE IMPLEMENTATION IS INCOMPLETE AND ONGOING. 
    The codelets and infrastructure are included. 
    Cell
    based
    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. 
    neuronal networks
Threats:
  1. This page reviews the inhibiting effect of the value delivery system on the expression of new phenotypic effects within an agent. 
    Extended phenotypic alignment
    of
    Tools and the businesses that produce them have evolved dramatically.  W Brian Arthur shows how this occurred.
    tool based economy

  2. No programmers aware of this paradigm.
  3. Difficult to re-integrate into technology network since AWF incompatible with ubiquitous programming methods
  4. General software development leverages fully developed human agents to support PDCA loop creating products which evolve. 
  5. Mainstream of database applications
  6. Complex adaptive system alignment with
    This page discusses a complex adaptive system (CAS) implementation of a genetic algorithm (GA), Melanie Mitchell's robot-janitor built as a set of Copycat codelets integrated using agent-based programming.  The improvement in the operation of the robots over succeeding generations of applying the GA is graphed. 

    The CAS that generated, and operated the robot is reviewed, including the implementation details and codelet operational program flow, and the challenges and limitations of this implementation. 

    The schematic strings which make up the robot's genotype, as well as the signals which are sent to the nucleus of the robot's agents so that the agents can deploy the appropriate response strings (which activate codelets) are listed.  The Slipnet configuration required by the system to associate the schematic strings with programmatic forces (codelets) is also listed.  The codelets and supporting perl are also listed. 

    In the conclusion the limitations of the robot-janitor abstraction in studying emergence and creative evolution are discussed and alternative experimental frameworks are proposed.  One such, the schematic cell is the subject of a separate page in this web frame. 

    genetic algorithms




The SWOT demonstrates the challenge of competing with a current
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. 
network
of aligned agents. 
Market Centric Workshops
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Politics, Economics & Evolutionary Psychology

Business Physics
Nature and nurture drive the business eco-system
Human nature
Emerging structure and dynamic forces of adaptation


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. 
Program Management
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