Rapid development
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
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The benefit of rapid development

Summary
In a post disruption environment there is a race to capture network effects.  Once the network effects have been obtained the winner will ensure further advantage until the next round of disruption. 
Introduction
A key aim during competing in the early phase of post
This page reviews Christensen's disruption of a complex adaptive system (CAS).  The mechanism is discussed with examples from biology and business. 
disruption
market is to be ahead in development is a phase during the operation of a CAS agent.  It allows for schematic strategies to be iteratively blended with environmental signals to solve the logistical issues of migrating newly built and transformed sub-agents.  That is needed to achieve the adult configuration of the agent and optimize it for the proximate environment.  Smiley includes examples of the developmental phase agents required in an emergent CAS.  In situations where parents invest in the growth and memetic learning of their offspring the schematic grab bag can support optimizations to develop models, structures and actions to construct an adept adult.  In humans, adolescence leverages neural plasticity, elder sibling advice and adult coaching to help prepare the deploying neuronal network and body to successfully compete. 
; The goal assumes that a variety of effective strategies have  been identified and will create synergistic benefits if carried out rapidly.  Eventually all the small advantages become opportunities to build positional advantages as the market matures. 

Development is a phase during the operation of a CAS agent.  It allows for schematic strategies to be iteratively blended with environmental signals to solve the logistical issues of migrating newly built and transformed sub-agents.  That is needed to achieve the adult configuration of the agent and optimize it for the proximate environment.  Smiley includes examples of the developmental phase agents required in an emergent CAS.  In situations where parents invest in the growth and memetic learning of their offspring the schematic grab bag can support optimizations to develop models, structures and actions to construct an adept adult.  In humans, adolescence leverages neural plasticity, elder sibling advice and adult coaching to help prepare the deploying neuronal network and body to successfully compete. 
, when viewed as an aspect of 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) theory
, is the planning and implementation of change required to improve the competitive situation of cooperating
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
within a CAS environment.  It involves improving the integration and competitive operation of two weakly connected agents so that they can symbiotically is a long term situation between two, or more, different agents where the resources of both are shared for mutual benefit.  Some of the relationships have built remarkable dependencies: Tremblaya's partnership with citrus mealybugs and bacterial DNA residing in the mealybug's genome, Aphids with species of secondary symbiont bacteria deployed sexually from a male aphid sperm reservoir and propagated asexually by female aphids only while their local diet induces a dependency.  If the power relations and opportunities change for the participants then they will adapt and the situation may transform into separation, predation or parasitism. 
gain joint advantage from the changed situation. 
This page discusses the mechanisms and effects of emergence underpinning any complex adaptive system (CAS).  Key research is reviewed. 
Emergent systems
obtain the same advantage for their cooperating agents (
This page reviews the inhibiting effect of the value delivery system on the expression of new phenotypic effects within an agent. 
extended phenotypic alignment
) due to the co-
This page reviews the implications of selection, variation and heredity in a complex adaptive system (CAS).  The mechanism and its emergence are discussed. 
evolution
under the same environmental pressures. 

The problem during development hence becomes one of
This page reviews the potential to benefit from strategy in a complex adaptive system (CAS).  The challenges described by Dorner require a careful search of the proximate environment. 
understanding the situation
, and its
The agents in complex adaptive systems (CAS) must model their environment to respond effectively to it.  Samuel modeling is described as an approach. 
future implications
and making moves which take advantage of this understanding and competitor's high-lighted missteps.  To offset the difficulty of both interpreting the situation and implementing a
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. 
plan
of changes, use of
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. 
iterative processes
provide rapid focused feedback on the validity of
The agents in complex adaptive systems (CAS) must model their environment to respond effectively to it.  Samuel modeling is described as an approach. 
models
and practice and allow for adjustment.  Processes which integrate schematic planning, iterative
This page discusses the strategy of modularity in a complex adaptive system (CAS).  The benefits, mechanism and its emergence are discussed. 
modular specification
, broad based competitive implementation and 'market' selection are able to identify fitness criteria for the prevailing conditions.  Such processes operate for example within the Internet's IETF and in competitive chess. 

In chess Nimzowitsch developed the theory behind the strategic objective 'be ahead in development'.  The collection and sharing of competitive game moves allows particular approaches to be rated, based on aggregate competitive results.  Hence highly rated moves can be selected to obtain advantage over less theoretically aware opponents.  Since the environment tends to remain stable for considerable periods the application of chess theory typically ensured achievement of goals. 

The incremental improvements of the beneficial positions sought leverage up through the feedback of
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
such as
This page discusses the benefits of bringing agents and resources to the dynamically best connected region of a complex adaptive system (CAS). 
the center of the chess board


Still the strategy depends on the schematic representations being matched effectively to the environment over the board.  Development in terms of prior study and practice prepares the master for
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. 
rapid association of the appropriate theory with the current position of the chess pieces
.  The introduction of new ideas through new move sequences can change the theoretical aspects of the environment and so impact the prevailing assessments of move
This web page reviews opportunities to find and capture new niches based on studying fitness landscapes using complex adaptive system (CAS) theory. 
fitness

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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
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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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