GA action
Rob, emerges from triangles & ovals
Rob, emerges from triangles & ovals
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Utilizing the genetic algorithm

The strategy of
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. 
natural barriers
, which allowed the adaptive web framework (AWF) to focus unrestricted on developing infrastructure for schematic agents, must be abandoned to reconnect with the major engineering
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. 
networks


Academic activity on complexity, M. Mitchell Waldrop describes a vision of complexity via:
  • Rich interactions that allow a system to undergo spontaneous self-organization
  • Systems that are adaptive
  • More predictability than chaotic systems by bringing order and chaos into
  • Balance at the edge of chaos 
since the 1980s includes clusters formed around the ideas of both John Holland and Douglas Hofstadter. 

Integration with these clusters could introduce the AWF technologies to aligned academics, and it was argued help gain access to a visionary early adopter.  Melanie Mitchell, now a professor at the University of Portland, and at the Santa Fe Institute, has worked extensively on both Hofstadter's CopyCat ideas and Holland's
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
s.  She appeared to be a good candidate for contact. 

A genetic algorithm (GA) was implemented within an
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. 

AWF application
.  The goal was to use the Coderack directly and use schematic codelets to develop the application.  However, the computing power needed to perform the GA forced the use of a regular implementation of this aspect of the application.  This is the equivalent of replacing the flexible 'job shop' flow with a specific 'continuous' flow. 

As such the GA is designed, and acts on specific loci in the schematic memes.  The fitness function is similarly designed and explicit.  The included mutation did not enable exploration of the complete adjacent possible.  In 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. 
PDCA
check it was proposed to additionally explore AWF's potential to broadly leverage mutation and then attempt to discuss the GA and mutation work with Professor Mitchell. 

Strategies:
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
,
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. 
Networks
,
This page discusses the benefits of constraining the flows in a complex adaptive system (CAS) until you are ready to act. 
Maintain restrictions
,
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 amplifier
,
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. 
Genetic plans
,
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. 
PDCA
,
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
.
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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
| 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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