Insect superorganisms
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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Insect superorganisms

E. O. Wilson & Bert Holldobler illustrate how
This page reviews the strategy of bundling multiple products within a single offer in a complex adaptive system (CAS).  The mechanism is discussed with examples from biology and business. 
cooperative strategies can take hold.  Various social insects have developed strategies which have allowed them to capture the most valuable available niches.  Like humans they invest in specialization and cooperate to subdue larger, well equipped competitors. 
The SuperOrganism
E. O. Wilson & Bert Holldobler's book 'The SuperOrganism' shows how
This page reviews the implications of selection, variation and heredity in a complex adaptive system (CAS).  The mechanism and its emergence are discussed. 
's forces have acted on ants and bees to extend the actions they use to forage, to
The squeaky wheel gets attention in a complex adaptive system (CAS). 
additionally describe to their siblings
The agents in complex adaptive systems (CAS) must model their environment to respond effectively to it.  Evolution's schematic operators and Samuel modeling together support the indirect recording of past successes and their strategic use by the current agent to learn how to succeed in the proximate environment. 
of where food and water sources are.  Other members of the colony use the models they develop in response to initiate their own participation in the cooperative capture of resources. 

Ants returning from successful foraging excursions
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. 
deploy descriptors
which assist nest-mates in heading towards the resources. 

Ants also
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. 
each other and the forager can lead other members towards the prey.  As more of the directed foragers detect a major resource they also return and add to the signals, creating an amplification of the focused activity.  The evolved nature of the process ensures that the
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 plan
reflects these agent capabilities.  The result is a powerful
This page reviews the strategy of setting up an arms race.  At its core this strategy depends on being able to alter, or take advantage of an alteration in, the genome or equivalent.  The situation is illustrated with examples from biology, high tech and politics. 
evolutionary amplifier
inducing sustained cooperative schematic pools that drive further investment. 

This page reviews the strategy of bundling multiple products within a single offer in a complex adaptive system (CAS).  The mechanism is discussed with examples from biology and business. 
of various strategies allows insect 'superOrganisms is a wealthy autonomous entity needing and controlling the richest niches in the proximate environment, that emerges from the bundled cooperation of schematically aligned agents.   The term is based on the social insect model, used by: ants, termites, and bees; and identified by Holldobler & E.O. Wilson.  These genetically identical insect superorganisms cooperatively limit their reproduction to align with the resources available in the niche.  Wilson asserts these insects all developed nests to which they returned to raise their offspring, and when the nest sites were of limited capacity some family members responded by focusing on defending the nest and foraging while their mother became an egg laying queen, enabled by "a single genetic change which silenced the brain's program for dispersal and prevents the mother and her offspring from dispersing to create new nests," Wilson explains.  He adds climate control of the nest and disease resistance, just like the human immune system, demand individually focused diversity.  So the queen's genome consists of low variety alleles for the extended phenotypic 'robot' worker caste agents and their organization - queen and workers competing as one, with other colonies and individual insects - and other parts which are high where the genome includes significant diversity.  For humans it is an evolved cultural strategy used when the environment is supportive, but it is dependent on our imperfect cognitive assessment of kinship as well as group selection driven emotions: other-condemning, other-praising, other-suffering and self-conscious; and group oriented pressures to conform and remain: religions.  And the adjacent possible must be recreated and modeled culturally through the emergence of processes such as democracy.  It depends on inter-agent signalling.  In both insects and humans it allows specialization, and encourages operations and flows that are tightly controlled, limiting waste, leveraging parallel activity, supporting coherence.  Superorganisms reflect cliodynamic flows.  A superorganism has a development and operational phase.  As additional agents are coopted into the superorganism they align, participate in supply and demand activities and so contribute to the evolutionary amplification.  Damasio notes that prokaryotes, in rich environments, can similarly operate in a symbiotic fashion expressing cultural behaviors. 
' to evolutionarily out compete specialist insects that cannot bear the cost required for each individual to be competitive.  The 'superOrganism' is far more
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. 
.  It can coordinate lines of attack to
This page discusses the benefits of bringing agents and resources to the dynamically best connected region of a complex adaptive system (CAS). 
the central area of action
, be the master of communications, focus colony members on the
This page discusses the strategy of going around the competitor's flank to reach and assault its rear. 
of large prey insects and leverage the resulting evolutionary amplifier. 

In less beneficial
This page discusses the potential of the vast state space which supports the emergence of complex adaptive systems (CAS).  Kauffman describes the mechanism by which the system expands across the space. 
the solitary strategies of beetles, spiders and other competitors of 'superOrganisms' win out.  The pre-conditions for 'superOrganism' success include access to enough resources to sustain an active colony.  Evolution ensures that focused strategies can be efficiently aligned with specific constrained niches. 

Also the cooperative communication infrastructure leveraged by 'superOrganisms' leaves them open to
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. 
indirect attack
by competitors who are able to manipulate the signalling, is an emergent capability which is used by cooperating agents to support coordination & rival agents to support control and dominance.  In eukaryotic cells signalling is used extensively.  A signal interacts with the exposed region of a receptor molecule inducing it to change shape to an activated form.  Chains of enzymes interact with the activated receptor relaying, amplifying and responding to the signal to change the state of the cell.  Many of the signalling pathways pass through the nuclear membrane and interact with the DNA to change its state.  Enzymes sensitive to the changes induced in the DNA then start to operate generating actions including sending further signals.  Cell signalling is reviewed by Helmreich.  Signalling is a fundamental aspect of CAS theory and is discussed from the abstract CAS perspective in signals and sensors.  In AWF the eukaryotic signalling architecture has been abstracted in a codelet based implementation.  To be credible signals must be hard to fake.  To be effective they must be easily detected by the target recipient.  To be efficient they are low cost to produce and destroy. 
infrastructure and
This page discusses the strategy of confusing the control system of a complex adaptive system (CAS). 
the emergent responses of the colony.  

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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. 
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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. 
Program Management
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