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Evolution of Complex Systems Lecture 11: Advanced concepts Peter Andras / Bruce Charlton peter.andras@ncl.ac.ukbruce.charlton@ncl.ac.uk
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2 Objectives Limits of expression of communications Limits of expression of communications Simplification and expansion Simplification and expansion Structures and institutes Structures and institutes Professional languages Professional languages Selection and competition Selection and competition Interpenetration of systems Interpenetration of systems Evolution Evolution
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3 Continuation distributions E.g., human language E.g., human language Formalism: Formalism:
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4 Random events Example: random spikes / spontaneous spikes Example: random spikes / spontaneous spikes
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5 Meaningless communications Not following the rules Not following the rules E.g.,: E.g.,: Random communications Random communications Zero likelihood communications Zero likelihood communications
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6 Limited length communications How long can be a sequence / pattern of referencing communications that does not appear as random ? How long can be a sequence / pattern of referencing communications that does not appear as random ?
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7 Expressivity of a system language Richer symbol sets imply shorter reference sequences Richer symbol sets imply shorter reference sequences Trade-off between symbol set richness and the length of referentially interlinked communication sequences Trade-off between symbol set richness and the length of referentially interlinked communication sequences
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8 Simplification of languages – 1 E.g., E.g., Neurons: graded potentials / spikes Neurons: graded potentials / spikes Brain: diverse cortex structure / crystalline cortex structure Brain: diverse cortex structure / crystalline cortex structure Language: rich culture / simple culture Language: rich culture / simple culture
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9 Simplification of languages – 2 Smaller symbol sets Smaller symbol sets
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10 Expansion of the language Longer possible sequences Longer possible sequences Increased informational contents – better description of the system / environment Increased informational contents – better description of the system / environment
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11 Memory and expansion Memory facilitates expansion by allowing direct reference to earlier communications Memory facilitates expansion by allowing direct reference to earlier communications Direct reference increases the likelihood of generating continuation communications Direct reference increases the likelihood of generating continuation communications
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12 Information subsystem and expansion Information subsystem = processing of memories, generating new memories identity definition, checking and enforcement communications Information subsystem = processing of memories, generating new memories identity definition, checking and enforcement communications Processing memories = combination of memories simpler referencing of combinations of memories Processing memories = combination of memories simpler referencing of combinations of memories better self/environment description better self/environment description
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13 Structure of communications Grammar in human language Grammar in human language Courtship behaviour rules in animals Courtship behaviour rules in animals Structuring the brain Structuring the brain
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14 Structure Restrictions on the communications Restrictions on the communications Structure makes sharper the continuation distribution, e.g., by eliminating some possible continuations Structure makes sharper the continuation distribution, e.g., by eliminating some possible continuations
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15 Specialist communication Follows restrictive structural rules Follows restrictive structural rules E.g., science, legal communications E.g., science, legal communications
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16 Expansion by specialist communications The possible continuation communications are reduced in number The possible continuation communications are reduced in number P(x|R(x)) increases P(x|R(x)) increases Longer referential sequences are possible expansion of the communication system Longer referential sequences are possible expansion of the communication system
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17 Structure and specialisation Structure induces simplicity in communications and may lead to the emergence of specialist communications Structure induces simplicity in communications and may lead to the emergence of specialist communications Specialist communications induce expansion of the communications system Specialist communications induce expansion of the communications system
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18 Institutions – 1 E.g., E.g., Courtship, marriage Courtship, marriage Parliament, cerebellum, Golgi organelle Parliament, cerebellum, Golgi organelle
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19 Institutions – 2 Institution: large set of coherent rules imposing structure Institution: large set of coherent rules imposing structure The structural rules imply the constitution of a subsystem of the communication system The structural rules imply the constitution of a subsystem of the communication system
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20 Institutions – 3 By inducing a subsystem, institutions lead to the expansion of the communication system By inducing a subsystem, institutions lead to the expansion of the communication system
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21 Professional language E.g., legal language E.g., legal language Specialist language in the context of an institution system Specialist language in the context of an institution system
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22 Professional institution systems Professional language and institution system Professional language and institution system E.g., subsystems of modern society E.g., subsystems of modern society
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23 Language code – 1 E.g., legal system: E.g., legal system: legal / illegal legal / illegal common / statute / commercial / penal common / statute / commercial / penal Multilevel set of questions with few possible answers that classify communications Multilevel set of questions with few possible answers that classify communications
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24 Language code – 2 Professional languages with institution systems Professional languages with institution systems Multilevel simple answer questions that classify the communications along the defining rules of the institution system Multilevel simple answer questions that classify the communications along the defining rules of the institution system Language code system identity Language code system identity
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25 Binary code Social sub-systems: professional institution systems Social sub-systems: professional institution systems Legal / illegal; power / no power; profit / no profit Legal / illegal; power / no power; profit / no profit Binary code: the top level coding that defines what communications are part of a communication subsystem of the society Binary code: the top level coding that defines what communications are part of a communication subsystem of the society If a communication can be referenced in such terms it fits into the subsystem If a communication can be referenced in such terms it fits into the subsystem There are further levels for inner distinctions There are further levels for inner distinctions
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26 Environment of systems Environment: infinitely complex Environment: infinitely complex System: communications about itself – complementary model of the environment System: communications about itself – complementary model of the environment
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27 System actions and perceptions System: model of the environment System: model of the environment Communications: reference other communications and provide reference for further communications maintain the system Communications: reference other communications and provide reference for further communications maintain the system Communications lead to changes in the environment by changing the behaviour of communication units Communications lead to changes in the environment by changing the behaviour of communication units Changes in the environment lead to changes in the system communications providing the basis for system perceptions Changes in the environment lead to changes in the system communications providing the basis for system perceptions
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28 Predictive sustainability The system is reproducible / sustainable if the actions of it produce appropriate changes in the environment to expand the system The system is reproducible / sustainable if the actions of it produce appropriate changes in the environment to expand the system Also, if perceptions lead to such appropriate actions Also, if perceptions lead to such appropriate actions In a sense the system’s description of the environment allows good predictions about the environment to reproduce and expand the system predictive sustainability In a sense the system’s description of the environment allows good predictions about the environment to reproduce and expand the system predictive sustainability
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29 Competing systems Systems in the environment Systems in the environment Each having predictions about the environment using their actions and perceptions Each having predictions about the environment using their actions and perceptions Systems have different level of predictive sustainability depending on the environment Systems have different level of predictive sustainability depending on the environment Systems with better predictive sustainability attract communication units to produce communications that are part of the system easier than systems with less predictive sustainability Systems with better predictive sustainability attract communication units to produce communications that are part of the system easier than systems with less predictive sustainability
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30 Selection of systems Systems in an environment Systems in an environment Selection pressures: which system has better predictive sustainability in the environment Selection pressures: which system has better predictive sustainability in the environment Systems with better predictive sustainability are selected by the environment Systems with better predictive sustainability are selected by the environment
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31 Simplicity, memory, expansion, selection Systems with memory can expand more than systems without memory Systems with memory can expand more than systems without memory Systems that undergo simplification and expansion can capture a larger part of the environment Systems that undergo simplification and expansion can capture a larger part of the environment Longer descriptions make better predictions Longer descriptions make better predictions Better predictions make more likely selection by environment Better predictions make more likely selection by environment
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32 Interacting systems Communication units produce communications that are part of systems (more than one) Communication units produce communications that are part of systems (more than one) System communications have effect on communication units, these affect the communications produced by communication units in other communication systems System communications have effect on communication units, these affect the communications produced by communication units in other communication systems
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33 The boundary of systems Communication units are not part of systems Communication units are not part of systems Systems are made up by communications between communication units Systems are made up by communications between communication units Dense / rare communication density boundary in the sense of referencing Dense / rare communication density boundary in the sense of referencing System communications may also reference communications which are not part of the system (these are part of other systems) System communications may also reference communications which are not part of the system (these are part of other systems)
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34 Changing system boundaries The number of references to communications of several systems may change The number of references to communications of several systems may change In this way the communications may belong more to one system than to other systems In this way the communications may belong more to one system than to other systems One system may dominate the communications of a communication unit of which communications were dominated before by another system One system may dominate the communications of a communication unit of which communications were dominated before by another system
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35 Interpenetrating systems Two systems using communications of an overlapping set of communication units Two systems using communications of an overlapping set of communication units System 1 communications influence communication units inducing changes in System 2; it works in both ways System 1 communications influence communication units inducing changes in System 2; it works in both ways System 2 communications reference sometimes System 1 communications System 2 communications reference sometimes System 1 communications Such references may follow System 1 referencing rules (i.e., continuation distributions) Such references may follow System 1 referencing rules (i.e., continuation distributions) New continuation distributions may emerge in System 2 New continuation distributions may emerge in System 2 E.g., Politics and education E.g., Politics and education
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36 Dense communications Dense cluster of communications between communication units Dense cluster of communications between communication units Dense cluster in sense of referencing = system Dense cluster in sense of referencing = system
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37 Double contingency and systems Referencing to other system communications Referencing to other system communications Questioning the existence of the communication cluster – the system – questioning the identity of the system (e.g., immune system) Questioning the existence of the communication cluster – the system – questioning the identity of the system (e.g., immune system) This leads to the formation of rules and sharpening of rules / continuation distributions This leads to the formation of rules and sharpening of rules / continuation distributions Subsystems as institution systems emerge from a grouping of structure rules when the identity of the communication cluster is questioned double contingency Subsystems as institution systems emerge from a grouping of structure rules when the identity of the communication cluster is questioned double contingency
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38 Interpenetration and emergence of systems Systems interpenetrating modifying each other’s communication continuation rules Systems interpenetrating modifying each other’s communication continuation rules Communications referring to communications of both systems, new communications refer to these communications Communications referring to communications of both systems, new communications refer to these communications New dense referencing cluster may emerge New dense referencing cluster may emerge Questioning the existence of the new cluster leads to the expansion of the cluster and formation of the specific rules / continuation distributions of the new system identity definition for the new system Questioning the existence of the new cluster leads to the expansion of the cluster and formation of the specific rules / continuation distributions of the new system identity definition for the new system
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39 Examples Biology and mathematics theoretical biology Biology and mathematics theoretical biology Neuroscience and pharmacology neuro-pharmacology Neuroscience and pharmacology neuro-pharmacology Media and hospitals health care PR Media and hospitals health care PR
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40 Evolution of systems – 1 Systems recreate and expand themselves Systems recreate and expand themselves They interact with other systems They interact with other systems Changing their rules Changing their rules Changing their boundaries Changing their boundaries Changing their identity Changing their identity
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41 Evolution of systems – 2 Systems develop structures Systems develop structures The structures may organize into institution subsystems by questioning the identity of the subsystem The structures may organize into institution subsystems by questioning the identity of the subsystem This may lead to simplifications This may lead to simplifications Simplification trigger expansion Simplification trigger expansion
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42 Evolution of systems – 3 At the interface of systems new dense communication clusters may emerge At the interface of systems new dense communication clusters may emerge By questioning the identity (existence) of the new clusters new systems emerge By questioning the identity (existence) of the new clusters new systems emerge
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43 Evolution of systems – 4 Systems compete for communications between communication units Systems compete for communications between communication units Systems describe / predict the environment Systems describe / predict the environment Systems with better predictions have better predictive sustainability, they are selected under environmental selection pressures (they more easily reproduce and expand than other systems with less predictive sustainability) Systems with better predictions have better predictive sustainability, they are selected under environmental selection pressures (they more easily reproduce and expand than other systems with less predictive sustainability)
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44 Evolution of systems – Summary Systems recreate, expand and change Systems recreate, expand and change New systems and subsystems emerge New systems and subsystems emerge Systems compete and some are selected under environmental selection pressures Systems compete and some are selected under environmental selection pressures
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45 Summary – 1 Length of communication references Length of communication references Simplification and expansion Simplification and expansion Structures, institutes and sub-systems Structures, institutes and sub-systems Professional languages and binary code Professional languages and binary code Predictive sustainability and selection Predictive sustainability and selection
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46 Summary – 2 Changing system boundaries Changing system boundaries Interpenetration of systems Interpenetration of systems Double contingency and the emergence of systems Double contingency and the emergence of systems Evolution of systems Evolution of systems
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47 Q&A – 1 1. Is it true that simplification of the communication symbol set leads to the expansion of the communication system ? 2. Is it true that structures are restrictions on the continuation distributions leading to the sharpening of them ? 3. Is it true that institutions are rule sets, which may organize into sub-systems ?
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48 Q&A – 2 4. Is it true that a professional language is a subset of a system language corresponding to an institution system ? 5. Is it true that the language code defines which communications are part of the specialist language ? 6. Is it true that the political system is a professional institution system of the society ?
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49 Q&A – 3 7. Is it true that professional institution systems of the society have a binary code ? 8. Is it true that system communications can be viewed as predictions about the environment ? 9. Is it true that a system’s ability to reproduce and expand in an environment depends on the system’s predictive sustainability ? 10. Is it true that selection pressures favour systems with richer symbol sets ?
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50 Q&A – 4 11. Is it true that interpenetration means that systems change their boundaries as a result of the interaction between the systems ? 12. Is it true that new systems always emerge at the interface of systems ? 13. Is it true that questioning the identity of a referential communication cluster leads to the formation of the corresponding communication system ?
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