Framework for adaptive planning and executionThis activity is based on a vision of building a thinking means operating by iteratively:
AWF is the adaptive web framework. overviewThe facilitation of adaptive planning and goal cascading within business enterprises should enhance iterative learning processes and allow strategic coordination of operational activities. HTML based data streams can be used to represent the plans allowing indirect HTTP linked integration of discrete goals and actions. By targeting business environments with increasing complexity, such as health care, a framework should provide the customers with value by supporting effective change in organizations that are reaching a strategic inflection point.
The program included:
Git is a source control system created to support the development of the Linux operating system. Linus Torvalds was not happy with the source control systems that he and the other Linux developers used so he designed and developed Git. AWF uses Git as a way to share the HTML sources and istrings library files of group developed dark webs.
integrated source network and dark webs is a web site that is not open to the Internet. It is a set of deployed HTML files in a directory which refer to each other via file based references relative to the directory. and has deployed the productized version to beta sites. But the proof-of-concept has failed to generate any traction at the beta sites and other targets. The key issues include:
AWF introductionThis program aimed to build on the Web Frames tool developed to support the previous 'emergent software systems' program.
The tool-set would need to be extended to include a graphical user interface, visible start and end operon is an addressable control structure which is used in biological cells to control access to other regions of the DNA.
tags, tools: search list generator, glossary generator, checklist generator, Git status generator; installation facilities.
To demonstrate proof-of-concept:
Strategy gives way to tactics. If you your company or other emergent system collapse there is no further possibility of strategic action. This page discusses the importance of sustaining the base of operations to support subsequent strategic action.Secure base, Maximize
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,
This page discusses the benefits of bringing agents and resources to the dynamically best connected region of a complex adaptive system (CAS).Centralize agents,
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 & filtering, Surprise,
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, Economy of force,
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.Structural obstacles,
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.Commitments match preconditions,
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, Production functions,
The agents in complex adaptive systems (CAS) must model their environment to respond effectively to it. Samuel modeling is described as an approach.Models & learning.