This page describes the organizational forces that limit change.
It explains how to overcome
them when necessary.
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.
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.
The constraints are described.
The techniques to overcome them are implied.
Representation of fitness landscapes
Summary
This web page reviews opportunities to find and capture new niches based on studying fitness landscapes using 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.
John Holland's framework for representing complexity is outlined. Links to other key aspects of CAS theory discussed at the site are presented.
Introduction
The geneticist Sewell Wright suggested that each point in a genetic combinatorial set be assigned a measure of its adaptiveness. As a three dimensional representation this has been described as a fitness landscape.While its an attractive metaphor and it has inspired key work on
This web page reviews opportunities to enhance computing theory
and practice by using biological mechanisms and complex adaptive
system (CAS) theory.
evolutionary computation the vision
of a landscape can be misinterpreted. Stuart
Kauffman's 'adjacent
possible' seems to better illustrate the way 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 explore niches. That
fitness changes as the agents and 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.
The complex adaptive system (CAS)
nature of a value delivery system is first introduced. It's a network
of agents acting as relays.
The critical nature of hub agents and the difficulty of altering an aligned network is reviewed.
The nature of and exceptional opportunities created by platforms are discussed.
Finally an example of aligning a VDS is presented.
environment
alter adds further complications. The critical nature of hub agents and the difficulty of altering an aligned network is reviewed.
The nature of and exceptional opportunities created by platforms are discussed.
Finally an example of aligning a VDS is presented.
The early adjacent possible is going to be limited. Entities are, according to Abbott, a class including people, families, corporations, hurricanes. They implement abstract designs and are demarcatable by their reduced entropy relative to their components. Rovelli notes entities are a collection of relations and events, but memory and our continuous process of anticipation, organizes the series of quantized interactions we perceive into an illusion of permanent objects flowing from past to future. Abbott identifies two types of entity:
- At equilibrium entities,
- Autonomous entities, which can control how they are affected by outside forces;
- Are far from equilibrium
- Consume and save low entropy choosing when to use it
- Can use accessible low entropy to maintain themselves
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). Capture of additional
niches can undermine the control scheme with rapid shifts in wealth is schematically useful information and its equivalent, schematically useful energy, to paraphrase Beinhocker. It is useful because an agent has schematic strategies that can utilize the information or energy to extend or leverage control of the cognitive niche. and power: British merchant
expansion during the reign of Queen Anne was untaxed,
empowering the merchants and undermining the landed aristocrats
and monarchy; until additional constraints are built.
Eventually, John Holland's framework for representing complexity is outlined. Links to other key aspects of CAS theory discussed at the site are presented.
Terrence Deacon explores how constraints on dynamic flows can
induce emergent phenomena
which can do real work. He shows how these phenomena are
sustained. The mechanism enables
the development of Darwinian competition.
constraint based phenomena
enable Darwinian competition. Such This page discusses the mechanisms and effects of emergence
underpinning any complex adaptive system (CAS). Key research is
reviewed.
emergent agents are Turing machines, a machine specified by mathematician Alan Turing which is the blueprint for the electronic programmable computer. It consists of an infinite tape on which symbols can be written. A movable read/write tape head which can move about the tape and write on or read symbols from the tape. A set of rules that tell the head what to do next. enabled by enzymatic, a protein with a structure which allows it to operate as a chemical catalyst and a control switch.
control. One can imagine that early
This page reviews the implications of selection, variation and
heredity in a complex adaptive system (CAS).
The mechanism and its emergence are
discussed.
evolved agents had access to a very
small set of 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.
schematic plans, types
of 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.
sensor or The agents in complex adaptive
systems (CAS) must model their
environment to respond effectively to it. Samuel
modeling is described as an approach.
models
of the environment. Indeed the agents may well have been
identical and placing each other under heavy threat in using the
same strategies to compete
directly for the few niches they could utilize. Economics is the study of trade between humans. Traditional Economics is based on an equilibrium model of the economic system. Traditional Economics includes: microeconomics, and macroeconomics. Marx developed an alternative static approach. Limitations of the equilibrium model have resulted in the development of: Keynes's dynamic General Theory of Employment Interest & Money, and Complexity Economics. Since trading depends on human behavior, economics has developed behavioral models including: behavioral economics. currently prioritizes trade over constraints. Sugerscape explores fitness in a simple trading scenario including genetic algorithm-supported reproduction. The prioritization of trade is supported by the fossil fuel driven exponential increase in food supply. This situation is
Peter Turchin describes how major pre-industrial empires
developed due to effects of geographic boundaries constraining
the empires and their neighbors' interactions. Turchin
shows how the asymmetries of breeding rates and resource growth
rates results in dynamic cycles within cycles. After the
summary of Turchin's book complex adaptive system (CAS) theory
is used to augment Turchins findings.
atypical historically,
minimizes the impact of Sven Beckert describes the historic transformation of the
growing, spinning, weaving, manufacture of cotton goods and
their trade over time. He describes the rise of a first global
commodity, its dependence on increasing: military power, returns for
the control points in the value delivery system(VDS), availability of land
and labor to work it including slaves.
He explains how cotton offered the opportunity for industrialization further amplifying the productive capacity of the VDS and the power of the control points. This VDS was quickly copied. The increased capacity of the industrialized cotton complex adaptive system (CAS) required more labor to operate the machines. Beckert describes the innovative introduction of wages and the ways found to mobilize industrial labor.
Beckert describes the characteristics of the industrial cotton CAS which made it flexible enough to become globally interconnected. Slavery made the production system so cost effective that all prior structures collapsed as they interconnected. So when the US civil war blocked access to the major production nodes in the American Deep South the CAS began adapting.
Beckert describes the global reconstruction that occurred and the resulting destruction of the traditional ways of life in the global countryside. This colonial expansion further enriched and empowered the 'western' nation states. Beckert explains how other countries responded by copying the colonial strategies and creating the opportunities for future armed conflict among the original colonialists and the new upstarts.
Completing the adaptive shifts Beckert describes the advocates for industrialization in the colonized global south and how over time they joined the global cotton CAS disrupting the early western manufacturing nodes and creating the current global CAS dominated by merchants like Wal-Mart pulling goods through a network of clothing manufacturers, spinning and weaving factories, and growers competing with each other on cost.
Following our summary of Beckert's book, RSS comments from the perspective of CAS theory. The transformation of disconnected peasant farmers, pastoral warriors and their lands into a supply chain for a highly profitable industrial CAS required the development over time: of military force, global transportation and communication networks, perception and representation control networks, capital stores and flows, models, rules, standards and markets; along with the support at key points of: barriers, disruption, and infrastructure and evolved amplifiers. The emergent system demonstrates the powerful constraining influence of extended phenotypic alignment.
industrialization's
constraint based strategies and is He explains how cotton offered the opportunity for industrialization further amplifying the productive capacity of the VDS and the power of the control points. This VDS was quickly copied. The increased capacity of the industrialized cotton complex adaptive system (CAS) required more labor to operate the machines. Beckert describes the innovative introduction of wages and the ways found to mobilize industrial labor.
Beckert describes the characteristics of the industrial cotton CAS which made it flexible enough to become globally interconnected. Slavery made the production system so cost effective that all prior structures collapsed as they interconnected. So when the US civil war blocked access to the major production nodes in the American Deep South the CAS began adapting.
Beckert describes the global reconstruction that occurred and the resulting destruction of the traditional ways of life in the global countryside. This colonial expansion further enriched and empowered the 'western' nation states. Beckert explains how other countries responded by copying the colonial strategies and creating the opportunities for future armed conflict among the original colonialists and the new upstarts.
Completing the adaptive shifts Beckert describes the advocates for industrialization in the colonized global south and how over time they joined the global cotton CAS disrupting the early western manufacturing nodes and creating the current global CAS dominated by merchants like Wal-Mart pulling goods through a network of clothing manufacturers, spinning and weaving factories, and growers competing with each other on cost.
Following our summary of Beckert's book, RSS comments from the perspective of CAS theory. The transformation of disconnected peasant farmers, pastoral warriors and their lands into a supply chain for a highly profitable industrial CAS required the development over time: of military force, global transportation and communication networks, perception and representation control networks, capital stores and flows, models, rules, standards and markets; along with the support at key points of: barriers, disruption, and infrastructure and evolved amplifiers. The emergent system demonstrates the powerful constraining influence of extended phenotypic alignment.
E. O. Wilson reviews the effect of man on the natural world to
date and explains how the two systems can coexist most
effectively.
currently
inducing stress on the planet. This page reviews the implications of selection, variation and
heredity in a complex adaptive system (CAS).
The mechanism and its emergence are
discussed.
Evolution has the effect of Richard Dawkin's explores how nature has created implementations
of designs, without any need for planning or design, through the
accumulation of small advantageous changes.
gathering mechanisms that create, or
gain access to, additional niches into the schematic grab
bag. The pressure to specialize and the capability to do
so ensure that any action that enhances a mechanism that
creates, or improves access to, an additional niche will be
captured. Epistasis tends to
help extend the portfolio of the schematic structure.
Significantly the niches that evolution gains access to are
almost all of
its creation. The
Peter Medawar writes about key historic events in the evolution
of medical science.
scientific method transfers Richard Dawkin's explores how nature has created implementations
of designs, without any need for planning or design, through the
accumulation of small advantageous changes.
evolved designs into processes that
are Reading and writing present a conundrum. The reader's
brain contains neural networks tuned to reading. With
imaging a written word can be followed as it progresses from the
retina through a functional chain that asks: Are these letters?
What do they look like? Are they a word? What does it sound
like? How is it pronounced? What does it mean? Dehaene
explains the importance of
education in tuning the brain's networks for reading as
well as good strategies for teaching reading and countering dyslexia. But
he notes the reading
networks developed far too recently to have directly evolved.
And Dehaene asks why humans are unique in developing
reading and culture.
He explains the cultural engineering that shaped writing to human vision and the exaptations and neuronal structures that enable and constrain reading and culture.
Dehaene's arguments show how cellular, whole animal and cultural complex adaptive system (CAS) are related. We review his explanations in CAS terms and use his insights to link cultural CAS that emerged based on reading and writing with other levels of CAS from which they emerge.
written down, copied,
applied and can be amplified through He explains the cultural engineering that shaped writing to human vision and the exaptations and neuronal structures that enable and constrain reading and culture.
Dehaene's arguments show how cellular, whole animal and cultural complex adaptive system (CAS) are related. We review his explanations in CAS terms and use his insights to link cultural CAS that emerged based on reading and writing with other levels of CAS from which they emerge.
Salman Khan argues that the evolved global education system is
inefficient and organized around constraining and corralling
students into accepting dubious ratings that lead to mundane
roles. He highlights a radical and already proven
alternative which offers effective self-paced deep learning
processes supported by technology and freed up attention of
teams of teachers. Building on his personal experience of
helping overcome the unjustified failing grade of a relative
Khan:
Following our summary of his arguments RSS frames them from the perspective of complex adaptive system (CAS) theory. Disruption is a powerful force for change but if its force is used to support the current teachers to adopt new processes can it overcome the extended phenotypic alignment and evolutionary amplifiers sustaining the current educational network?
education.
Both science
and education leverage - Iteratively learns how to teach: Starting with Nadia, Leveraging
short videos focused on content,
Converging on mastery,
With the help of
neuroscience, and filling
in dependent gaps; resulting in a different approach
to the mainstream method.
- Assesses the broken US education system: Set in its ways, Designed for the 1800s,
Inducing holes that
are hidden by tests, Tests
which ignore creativity.
The resulting teaching process is so inefficient it needs to
be supplemented with homework.
Instead teachers were encouraging their pupils to use his tools at home so
they could mentor them while they attended school, an
inversion that significantly improves the economics.
- Enters the real world: Builds a scalable service,
Working with a
real classroom, Trying stealth
learning, At Khan Academy full time, In the curriculum at
Los Altos, Supporting life-long
learning.
- Develops The One World Schoolhouse: Back to the future with
a one
room school, a robust
teaching team, and creativity enabled;
so with some catalysis
even the poorest can
become educated and earn credentials
for current jobs.
- Wishes he could also correct: Summer holidays, Transcript based assessments, College education;
- Concludes it is now possible to provide the infrastructure
for creativity to
emerge and to support risk taking.
Following our summary of his arguments RSS frames them from the perspective of complex adaptive system (CAS) theory. Disruption is a powerful force for change but if its force is used to support the current teachers to adopt new processes can it overcome the extended phenotypic alignment and evolutionary amplifiers sustaining the current educational network?
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
operations to improve niche access. But the Prussian design of
education removes the integration with somatic, Schematic structures which are used to support the operation of the agent. They are modified as the agent's state changes unlike the germ-line schemata. schema development
and constrains the full deployment of schematic plans to a
limited subset of agents. This will limit the potential
for Good ideas are successful because they build upon prior
developments that have been successfully implemented.
Johnson demonstrates that they are phenotypic expressions of
memetic plans subject to the laws of complex adaptive systems (CAS).
creativity. Isaacson uses the historic development of the global cloud of
web services to explore Ada
Lovelace's ideas about thinking
machines and poetic
science. He highlights the value of computer
augmented human creativity and the need for liberal arts to
fulfill the process.
Complex adaptive system (CAS) models of agent networks and collaboration are discussed.
Artificial intelligence (AI)
currently utilizes a different approach. Instead of
schematic operations it leverages neural networks are representational models that achieve high performance on difficult pattern recognition problems in vision and speech. But they need specialized training methods such as greedy layerwise pre-training or HF optimization.
with Complex adaptive system (CAS) models of agent networks and collaboration are discussed.
The agents in complex adaptive
systems (CAS) must model their
environment to respond effectively to it. Samuel
modeling is described as an approach.
models using Samuel
weightings to create classifiers from human structured
information stores accessible in the cloud. These data
weighted classifiers provide associated agents with access to
additional niches and enable This page introduces a series of asymmetries which encourage
different strategic approaches.
The differences found in business, sexual selection, gamete structure, as well as in chess encourage escalations in the interactions.
And yet the systems including these asymmetries can be quite stable.
asymmetric
competition with former approaches to niche ownership. The differences found in business, sexual selection, gamete structure, as well as in chess encourage escalations in the interactions.
And yet the systems including these asymmetries can be quite stable.
This page discusses the benefits of bringing agents and resources to the
dynamically best connected region of a complex adaptive system (CAS).
Centralization of the 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 and leverage of 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.
evolved amplification has pulled wealth is schematically useful information and its equivalent, schematically useful energy, to paraphrase Beinhocker. It is useful because an agent has schematic strategies that can utilize the information or energy to extend or leverage control of the cognitive niche. towards the AI and
cloud infrastructure niche owners. But the collapse of
competitive niches may undermine the economy is the study of trade between humans. Traditional Economics is based on an equilibrium model of the economic system. Traditional Economics includes: microeconomics, and macroeconomics. Marx developed an alternative static approach. Limitations of the equilibrium model have resulted in the development of: Keynes's dynamic General Theory of Employment Interest & Money, and Complexity Economics. Since trading depends on human behavior, economics has developed behavioral models including: behavioral economics. supporting the
new wealth leading to its shrinkage. Contrary to the pressure to change are mechanisms that drive superior phenotypic strategies into dominance and
This page reviews the inhibiting effect of the value delivery system on the
expression of new phenotypic
effects within an agent.
extend phenotypic alignment beyond the
This page reviews the implications of reproduction initially
generating a single child cell. The mechanism and
resulting strategic options are discussed.
organism. But when resources
become scarce within a proximate niche, organisms must be ready
to respond:- Prokaryotes, a single cell system exemplified by the bacteria. Prokaryotes have their own DNA and infrastructure within a single enclosure.
respond to stress by increasing the mutation rate.
- Human adolescence in humans supports the transition from a juvenile configuration, dependent on parents and structured to learn & logistically transform, to adult optimized to the proximate environment. And it is staged encouraging the adolescents to escape the hierarchy they grew up in and enter other groups where they may bring in: fresh ideas, risk taking; and alter the existing hierarchy: Steve Jobs & Steve Wozniak, Bill Gates & Paul Allen. It marks the beginning of Piaget's formal operational stage of cognitive development. The limbic, autonomic and hormone networks are already deployed and functioning effectively. The frontal cortex has to be pruned: winning neurons move to their final highly connected positions, and are myelinated over time. The rest dissolve. So the frontal lobe does not obtain its adult configuration and networked integration until the mid-twenties when prefrontal cortex control becomes optimal. The evolutionarily oldest areas of the frontal cortex mature first. The PFC must be iteratively customized by experience to do the right thing as an adult. Adolescents:
- Don't detect irony effectively. They depend on the DMPFC to do this, unlike adults who leverage the fusiform face area.
- Regulate emotions with the ventral striatum while the prefrontal cortex is still being setup. Dopamine projection density and signalling increase from the ventral tegmentum catalyzing increased interest in dopamine based rewards. Novelty seeking allows for creative exploration which was necessary to move beyond the familial pack. Criticisms do not get incorporated into learning models by adolescents leaving their risk assessments very poor. The target of the dopamine networks, the adolescent accumbens, responds to rewards like a gyrating top - hugely to large rewards, and negatively to small rewards. Eventually as the frontal regions increase in contribution there are steady improvements in: working memory, flexible rule use, executive organization and task shifting. And adolescents start to see other people's perspective.
- Drive the cellular transformations with post-pubescent high levels of testosterone in males, and high but fluctuating estrogen & progesterone levels in females. Blood flow to the frontal cortex is also diverted on occasion to the groin.
- Peer pressure is exceptionally influential in adolescents. Admired peer comments reduce vmPFC activity and enhance ventral striatal activity. Adults modulate the mental impact of socially mean treatment: the initial activation of the PAG, anterior cingulate, amygdala, insula cortex; which generate feelings of pain, anger, and disgust, with the VLPFC but that does not occur in adolescents.
- Feel empathy intensely, supported by their rampant emotions, interest in novelty, ego. But feeling the pain of others can induce self-oriented avoidance of the situations.
.
Hence the presence of disjoint, environmentally different, niches can have the effect of assisting in additional niche capture and support
This page reviews Christensen's disruption
of a complex adaptive system (CAS).
The mechanism is discussed with examples from biology and
business.
disruption of
aligned networks. Operations,
such as membrane, formed from a lipid (fat) bilayer which creates a barrier between aqueous (water soluble) media. In AWF a key property of membranes - their providing a catalytic environment and supporting the suspension of enzymatically active proteins within the membrane; is simulated with a Workspace list where 'active' structures can be inserted and codelets can detect and act on the structure's active promise configured as an association in the Slipnet.
formation and tooth
construction, that actively generate layered deployments
of new niches, such as in coral
reef formation, extend the adjacent possible by: - Increasing the carrying capacity of the local environment,
- Providing opportunities to Flows of different kinds are essential to the operation of complex adaptive systems (CAS).control flows and capture and leverage outsize access to resources,
Example flows are outlined. Constraints on flows support the emergence of the systems. Examples of constraints are discussed.
- Enabling 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.network effects, including extended memetic mixing, added opportunities for agents in adjacent regions and
This page discusses the benefits of geographic clusters of agents and resources at the center of a complex adaptive system (CAS).geographic clustering,
- Competitive interactions pressuring the combatants to 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.respond schematically to each other's adaptations.
- Recycling of resources and
agents into adjacent niches.
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: physical
barriers, chemical
molecules can form membranes, probability based,
cell membranes can include controllable
channels, eukaryotes
leverage membranes, symbiosis, human emotions, chess, business; and
their effects are described.
barriers, transform the accessible
niches. Partitioning may induce modules with separate sets
of states. In any sequence of adaptive interactions
This page discusses the impact of random events which once they
occur encourage a particular direction forward for a complex
adaptive system (CAS).
frozen
accidents will also ensure that the situation will evolve
in a totally unique way. So schematic fitness seems to depend both on the specific environmental opportunities, and the specific ordered actions of the current set of adapting agents and a landscape metaphor should be used with caution.
The application of fitness functions by
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
algorithms to This page discusses the mechanisms and effects of emergence
underpinning any complex adaptive system (CAS). Key research is
reviewed.
emergent
environments certainly requires careful scrutiny. It
utilizes desired target values of selected capabilities to
represent fitness. Schemata controlling agents which most
closely meet those targets in any particular generation are
selected to develop subsequent generations. Due to the
testing of multiple offspring and the representation of many
parts of the fitness landscape within each schematic string
selection will drive subsequent generations to increasingly
match the target capabilities. The evolutionary process applied to generations of competing agents will select for optimum competitive use of accessible niches. However, the genetic algorithm leverages the designer's choices of capabilities and target values to explore the fitness landscape. Evolution, in contrast, must use the schematically associated collection of tools available to agents, and the evolved relationship between these and the environment that the agents exist in. With these evolution supports competition in indirectly forcing adjacent possibilities into becoming accessible opportunities. Evolution's genetic operators probe the nature of the tool set and environment, and are supported in the search by the constraining nature of the changes operators can make to the schematic strings.
Adaptive agents can successfully tie actions to schematic structures analogous to genetic algorithms when the environment is constrained and
This page discusses the physical foundations of complex adaptive
systems (CAS). A small set of
rules is obeyed. New [epi]phenomena then emerge. Examples are
discussed.
rules are
known. It is also important that the parallel search
amplification of genetic algorithms be present. Evolving with an adapted environment
Early 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)
agents would be formed from a limited schematic database.
The schematic building blocks of proteins, a relatively long chain (polymer) of peptides. Shorter chains of peptides are termed polypeptides. are 20 amino acids are the building blocks of proteins. The 20 main variants differ by the nature of their side chain. Some are positively charged, others negatively charged. Some are water seeking while others are fat seeking. The genetic code mapping of DNA base pair triplets thus specifies the primary sequence of amino-acids in any protein polymer. John Holland's framework for representing complexity is outlined. Links to other key aspects of CAS theory discussed at the site are presented.
associated by translation is the process where messenger m-RNA is cross coded by Ribosomal agents and t-RNA into an amino-acid polymer. with the 61 active triplets of the genetic code (DNA), a polymer composed of a chain of deoxy ribose sugars with purine or pyrimidine side chains. DNA naturally forms into helical pairs with the side chains stacked in the center of the helix. It is a natural form of schematic string. The purines and pyrimidines couple so that AT and GC pairs make up the stackable items. A code of triplets of base pairs (enabling 64 separate items to be named) has evolved which now redundantly represents each of the 20 amino-acids that are deployed into proteins, along with triplets representing the termination sequence. Chemical modifications and histone binding (chromatin) allow cells to represent state directly on the DNA schema. To cope with inconsistencies in the cell wide state second messenger and evolved amplification strategies are used.
.
The limited set of triplets constrains mutational events to triplet deletions, triplet additions, codon, a DNA triplet that represents a specific amino-acid, or termination sequence of the genetic code. replacements as well as missense replications. So the mutational operator is well-defined and limited in scope.
The 20 amino acids, deployed by the translation is the process where messenger m-RNA is cross coded by Ribosomal agents and t-RNA into an amino-acid polymer. of the DNA (DNA), a polymer composed of a chain of deoxy ribose sugars with purine or pyrimidine side chains. DNA naturally forms into helical pairs with the side chains stacked in the center of the helix. It is a natural form of schematic string. The purines and pyrimidines couple so that AT and GC pairs make up the stackable items. A code of triplets of base pairs (enabling 64 separate items to be named) has evolved which now redundantly represents each of the 20 amino-acids that are deployed into proteins, along with triplets representing the termination sequence. Chemical modifications and histone binding (chromatin) allow cells to represent state directly on the DNA schema. To cope with inconsistencies in the cell wide state second messenger and evolved amplification strategies are used.
schematic string, indirectly associate the plan with chemical, molecules obtain chemical properties from the atoms from which they are composed and from the environment in which they exist. Being relatively small they are subject to phenomena which move them about, inducing collisions and possibly reactions with other molecules. AWF's Smiley simulates a chemical environment including associating the 'molecule' like strings with codelet based forces that allow the strings to react based on their component parts, sequence etc.
and physical
This page discusses the physical foundations of complex adaptive
systems (CAS). A small set of
rules is obeyed. New [epi]phenomena then emerge. Examples are
discussed.
phenomena. The
translation process is limited to building blocks that can be
directly, or indirectly specified by the schematic string, and
yet it extends the forces associated with the schemata more
broadly. - The amino acid variable side chain introduces variations in polarity, charge (acid and base), shape and size.
- The peptide bond links two amino-acids together by their C and N terminals. It orients the side chains. The resulting polymer has vast degrees of freedom that become limited by the specific side chains that are deployed. So the DNA sequence mapped through the genetic code is able to generate a vast variety of chemically different poly peptides. Evolutionarily retained variants include alpha helix, beta sheets, beta bends and many active site structures which in aggregate have proven to be excellent structural and enzymatic building blocks.
introduces the planar trans configuration, and main chain hydrogen bonding, there are different types of chemical bonds. Ionic bonds stabilize two oppositely charged ionized atoms when the negative atom gives up an electron to the positively charged atom. Covalent bonds stabilize the two reactants when they adopt a more stable structure with electrons shared between them. Hydrogen bonds stabilize charged groups when they are surrounded by water molecules. In Copycat codelets can bond two Workspace objects together. In the Smiley implementation a bondbuilder adds a bonding descriptor to one of the objects bonding it to the other.
to enable alpha helices provides a structural building block (a helical tube) that can be conserved and used by natural selection. , parallel and anti-parallel beta sheet provides a structural building block (a sheet with consistent electrical and physical properties) that can be conserved and used by natural selection. , and beta bends, provides a structural building block (a turn) that can be conserved and used by natural selection.
, and exclusion of water molecules, multiple atoms bonded together. The physical and chemical phenomena associated with the molecule such as charge, size, shape, and potential energy reflect the constituent atoms, the types of bonds between them and the topology of the bonding. Charged molecules dissolve in aqueous solutions (water). Uncharged molecules dissolve in lipid bilayers. from otherwise non-polar environments.
The competitive development of schematically defined cooperative structures with phenotypic value such as
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.
substrate
complementary enzyme active sites results directly from
the genetic operations. Each addition of new structure
potentially extended the environment and schematically reachable
possibilities. The presence of phenomenologically active building blocks that can be built up, with incorporated free energy, and torn down, with release of energy, by agents constructed from the same building blocks supports the efficient development of platforms, and
The complex adaptive system (CAS)
nature of a value delivery system is first introduced. It's a network
of agents acting as relays.
The critical nature of hub agents and the difficulty of altering an aligned network is reviewed.
The nature of and exceptional opportunities created by platforms are discussed.
Finally an example of aligning a VDS is presented.
value chains as described
above. The critical nature of hub agents and the difficulty of altering an aligned network is reviewed.
The nature of and exceptional opportunities created by platforms are discussed.
Finally an example of aligning a VDS is presented.
Strategic clustering
Inspecting the grab bag of mechanisms and how these are deployed so creatively, in biology, to leverage specific niche opportunities gains some credence from the recurrence of This page looks at schematic structures
and their uses. It discusses a number of examples:
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.
schematic goals, such as: - 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.
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.
control of flows, Example flows are outlined. Constraints on flows support the emergence of the systems. Examples of constraints are discussed.
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.
network effects, This page discusses the benefits of geographic clusters of agents and resources at the center of a complex adaptive
system (CAS).
geographic clustering; at each level
of emergent agent. While the structures, phenomena and mechanisms change the goals are often similar. But the dynamics and partitioning used by real agents, challenges the scientist's techniques. The use of computer models that reflect schematic cascades, partitioning and control of flows can support the understanding of real agent's operating strategies.
The state space of real agents is represented in the aggregate schematic structures, schematic controls and deployed infrastructure controls. Computer programmed models demand accurate control of the state system to function at all so they can help reject impossible scenarios from the alternatives scientists are struggling to rationalize. The performance of real agents is also typically critical so
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.
the management of state is constrained by
the requirement to respond in a timely manner.
Additionally real agents must 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.
amplify
significant signals so that they ensure to transform the
collective state representation of the agent. The presence of amplified second messengers, provide an amplified form of signals within a cell. Since cells need to stabilize their overall state with many operations happening in parallel second messengers are useful in clarifying the signals effect. The second messenger strategy is seen repeatedly in CAS including: neuro-transmitter guidance signals such as dopamine distribution in the brain, corporate positioning email messages in response to new situations, newspaper articles aligning the population; provides this service. However, it means that a specific agent must have its
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.
deployed
infrastructure pre allocated to the required response of
the initiating signal. Hence multi agent systems have a
multitude of similar infrastructure, from the evolved grab bag,
configured for the specific responses particular agents are
responsible for. Aggregate analysis, ignoring the
distributed deployment, just ends up with a bewildering
collection of similar infrastructure apparently responding to
the same second messengers. The schematic structures operations are also likely to be 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.
flexible than initially
conceived by geneticists. Inspection of the operation of a
computer program, such as the 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:
Adaptive
web framework (AWF) test infrastructure, which utilizes 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.
This page discusses how Smiley
provides deployment guarantees to its agent-based
applications.
Smiley's transaction services are reviewed.
The complex interactions of codelets participating in a deployment cascade are discussed including:
Tools to associate transaction protection to an operon deployed codelet are described.
Special support for sub-program codelets is described. Completion of transactional sub-programs presents special challenges.
Priority and synchronization support includes:
The use of signals to coordinate siblings is described.
The structural binding operon for the wait and relay service is included.
The codelets and supporting functions are included.
schematic cascades, partitioning and
control of flows indicates that there is little benefit to
sticking with one process. The evolutionary grab bag (epi-genetic
structures represent state surfaces within cells and eggs which can be operationally modified so as to provide a heritable structure. DNA, histones and other stable structures provide surfaces where these states may be setup. Egg carriers are in a particularly powerful position to induce epi-genetic changes. Sapolsky notes [childhood] events which persistently alter brain structure and behavior via epi-genetic mechanisms including: pair-bonding in prairie voles, as they first mate, is supported by changes in oxytocin & vasopressin receptor gene regulation in the nucleus accumbens. Smiley's transaction services are reviewed.
The complex interactions of codelets participating in a deployment cascade are discussed including:
- The implementation of schematic switches.
- The cooperative use of goal suppression.
- Evaluator codelets promotion
of other siblings.
Tools to associate transaction protection to an operon deployed codelet are described.
Special support for sub-program codelets is described. Completion of transactional sub-programs presents special challenges.
Priority and synchronization support includes:
- Delaying the
operaton of the cascade sponsor.
- Delaying
the notgcompleting
cascade participant.
- Waiting for completion of parallel operations with the wait and relay service.
The use of signals to coordinate siblings is described.
The structural binding operon for the wait and relay service is included.
The codelets and supporting functions are included.
, proteins, a relatively long chain (polymer) of peptides. Shorter chains of peptides are termed polypeptides. , structural domains, evolution conserves many useful structures including DNA base sequence (content) addressable binding regions, protein active sites and signal structures which can then be reused through the mutation genetic operator.
, RNA (RNA), a polymer composed of a chain of ribose sugars. It does not naturally form into a paired double helix and so is far less stable than DNA. Chains of DNA are converted by transcription into equivalently sequenced messenger m-RNA. RNA also provides the associations that encode the genetic code. Transfer t-RNAs have a site that maps to the codon and match the associated amino-acid. Stuart Kauffman argues that RNA polymers may be the precursor to our current DNA based genome and protein based enzymes. In the adaptive web framework's (AWF) Smiley we use a similar paradigm with no proteins.
and other active structures) will be used when there is advantage in doing so.
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This page looks at schematic structures
and their uses. It discusses a number of examples:
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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Design |
- 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.
This page uses an example to illustrate how:
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