Web frames
Rob, emerges from triangles & ovals
Rob, emerges from triangles & ovals
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Web frames

Transforming a schematic plan into a framework of web pages (web frames) facilitated a number of goals:

The resulting event processor Perl script can only perform its directly coded functions.  Its design and specification were decoupled from the implementation.  It was not possible for the program itself to evolve without recoding.  The design and updating were decoupled from the deployment and use.  Most of the value related to the indirect capabilities provided.  The pull based flows did not result in clearly identified benefits.  While far less flexible than the CAS architecture the directness of the implementation significantly reduced the computational resources demanded by the program. 

In comparison Toyota implements the architecture with human agents, and so their implementation is closer to the CAS architecture 'adaptive
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. 
test program
'.  With agents Toyota leverages local
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. 
, focused
The agents in complex adaptive systems (CAS) must model their environment to respond effectively to it.  Samuel modeling is described as an approach. 
, promoting expertise.  With the help of a
This page discusses the program strategy in a complex adaptive system (CAS).  Programs generate coherent end-to-end activity.  The mechanism is reviewed. 
program approach
and the development of an
This page reviews the strategy of architecting an end-to-end solution in a complex adaptive system (CAS).  The mechanism and its costs and benefits are discussed. 
end-to-end architecture
it gains
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. 
and quality while lowering costs.  Agents are key here. 

Risk is further limited in Toyota's implementation by a preference for '
Agents can manage uncertainty by limiting their commitments of resources until the environment contains signals strongly correlated with the required scenario.  This page explains how agents can use Shewhart cycles and SWOT processes to do this. 
small machines
'.  This approach synergizes with using
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 cycles

Toyota also benefits from optimizing its designs to support manufacture, and its flows to match the product.  Flexibility is supported through
This page discusses the strategy of modularity in a complex adaptive system (CAS).  The benefits, mechanism and its emergence are discussed. 
sub-assemblies produced by cells supporting
Representing state in emergent entities is essential but difficult.  Various structures are used to enhance the rate and scope of state transitions.  Examples are discussed. 
structurally enhanced state
.  The event processor's getlistcontrol uses directly coded indirection, and barriers to flows, to obtain this same flexibility. 

The web frames deployed (opportunities, theory, example systems, vision, Perl and asymmetries) do present focused aspects of the schematic plans and outcomes:
Institutionalized learning
In particular the web frames allow for Shewhart cycle checking to be referenced easily to the initial plans, and remedial actions to be associated with the core goal.  As evidence is accumulated better strategies or priorities can be integrated into the core schemata.  A
This web frame includes a set of presentations about complex adaptive systems (CAS)
frame can be added to focus the learning on commercially valuable aspects including: beyond continuous flow -
This presentation applies just-in-time methods to computer programming with analysis based on complex adaptive system (CAS) theory. 
JIT programming
This presentation reviews planning using complex adaptive system (CAS) theory.  Genes and ideas reflect CAS properties. 
using schematic plans
This presentation discusses program management using complex adaptive system (CAS) theory. 
developing a program for progress
This presentation applies complex adaptive system (CAS) agents to computer programming. 
programming with agents

Broadly deployed competitive architectures, such as Wikis, limit the niches where the event processor would add value commercially.  

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 and control
This page reviews the strategy of architecting an end-to-end solution in a complex adaptive system (CAS).  The mechanism and its costs and benefits are discussed. 
End-to-end architecture
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. 
Tags and filtering
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. 
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. 
Market Centric Workshops
The Physics - Politics, Economics & Evolutionary Psychology
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. 
| 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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