Genes & memes
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The constraints are described. 
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Genes & memes - tagged structures relating system awareness, plans and events to actions

Summary
Plans
This page discusses the mechanisms and effects of emergence underpinning any complex adaptive system (CAS).  Key research is reviewed. 
emerge
in 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
) to provide the instructions that
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
use to perform actions.  The component architecture and structure of the plans is reviewed. 
Introduction
Schemata, which include genes and memes, are
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. 
complex adaptive system
(
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. 
CAS) agents'
This page discusses the mechanisms and effects of emergence underpinning any complex adaptive system (CAS).  Key research is reviewed. 
emergent
goal tagged plans - addressable sequences of action and
The agents in complex adaptive systems (CAS) must model their environment to respond effectively to it.  Samuel modeling is described as an approach. 
model
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. 
associations
, and valuations for applicable situations.  They provide the associations between events and actions.  They are central informational and control structures in
This page reviews the implications of selection, variation and heredity in a complex adaptive system (CAS).  The mechanism and its emergence are discussed. 
evolutionary systems
.  They are the structures of the recipes for both living systems and thought processes such as creativity and understanding. 

The plans contain:
These together ensure that competitive selection of the agents for further reproduction affects the schematic pool. 

In a system of CAS agents the gene pool corresponds to the total set of schemata that are able, at least conceptually, to be selected & recombined effectively by
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
.  The schemata are by their architectural nature both general details and specific plans about how to tailor an agent to perform some situation specific operation.  While some genetic algorithms view the schemata as sets of parameters, this web site does not take such a restrictive position.  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. 
adaptive web framework (AWF) test infrastructure
uses a schemata based on
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
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. 
associatively labeled
sequences of
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
objects. 

Memetic plans, are stored and replicated in books and computer files but are deployed into a
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 and representation architecture
, such as the neuron network, a network of interconnected neurons which perform signalling, modeling and control functions.  In Cajal's basic neural circuits the signalling is unidirectional.  He identified three classes of neurons in the circuits:
  • Sensory, Interneurons, Motor; which are biochemically distinct and suffer different disease states. 
of the brain, where associations, between elements and with models and actions, are supported.  The human brain's support for language coupled with its ability to process letters is part of the human visual system.  It is located in the same brain area in all readers.  It responds automatically to written words.  Unconsciously it extracts the identity of a letter string regardless of superficial changes in component letter shape, size or position.  It signals the identities to two major sets of brain areas that encode sound patterns (temporal) and meaning (frontal) lobes. 
, and the crafting of these to be easily written, read and remembered; provides the foundation for memetic schemata. 

The schemata provide a method of rating and structuring action plans.  Through allelic epistasis schematic operons is an addressable control structure which is used in biological cells to control access to other regions of the DNA. 
are the building blocks of most new creative ideas. 

Evolved systems use competitive selection of agents with differing schemata over a broad range of environments to achieve strategic advantages. 

Agents can attempt to gain competitive advantage by introducing a memetic plan, executed and adapted via a
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
, where competitive selection additionally occurs in the choices of the planner. 

Schematic components of the plan are put into operation and then an assessment of the environmental situation, for example by SWOT analysis, combined with modeling of the predicted results are compared to actual findings.  The agent then adjusts the plan's schemata and repeats the Shewhart process. 

The emergence of abstract strategic goals such as
This page discusses the benefits of bringing agents and resources to the dynamically best connected region of a complex adaptive system (CAS). 
centralization
and
This page discusses the benefits of proactively strengthening strong points. 
prophylaxis
, along with situation specific methods to operationalize them and the benefits obtained from doing so, builds advantage at least in the local environment.
 
 
The following schematic strings are loaded by convbws.  They are group schemata which are associated with nuclear agents (nuclabm evaluator & builder) which respond to codelet signals by deploying the included sub-group schemata to the active
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


The Meta-keyword <comment> toggles convbws loading between comment mode and processing active <keywords>.  In the following the initial <comment> switches convbws into active mode. 

The active keywords include meta-keyword instructions for convbws, such as <rhlmspg> and <memgroup> and schematic keywords that will be processed during nuclear operations.  The first keyword of a schematic string also identifies the start of the group and the start of the deployed subgroup. 

sscstatementwhole signalled meme
The statementwhole function's
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.
signal
(<model> <schema> <statementcategory> <assert> <statementcomplete>) is associated with a meme group.  The nuclabm nuclear codelet (builder) matches the signal with all the identically named nuclear Workspace deployed meme groups and heuristically selects subgroup schematic strings from the complete set to send for deployment.  The statement schematic structure Slipnet description associates codelet forces (nuclabmevaluator) with the signal. 

 



<comment> (<rhlmspg> <memgroup> <model> <schema> <statementcategory> <assert> <statementcomplete> <model> <statementcategory> <assert> <process> <statementwhole> </memgroup> </rhlmspg> )<comment>

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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
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  • 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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