Simulating with Cognitive Agents: The Importance of Cognitive Emergence | SpringerLink
Skip to main content
Springer Nature Link
Log in

Simulating with Cognitive Agents: The Importance of Cognitive Emergence

  • Conference paper
Multi-Agent Systems and Agent-Based Simulation (MABS 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1534))

Abstract

When the micro-units of emerging dynamic processes are cognitive agents, a very important and unique phenomenon arises, called Cognitive Emergence (CE). We argue that: CE characterises the theory of Sociological dynamics with respect to other forms of emergence at different level of organisation (ex. physics, biology, etc.); CE has a very strong influence on the process of emergence, changing it, and should be taken into account in simulating and modelling social phenomena; certain important emerging social phenomena, like social norms cannot be explained at all without CE; CE has critical consequences on the process of “immergence” i.e. the process through which the macro-level emerging structure or global result ‘feedbacks’ into the micro-level re-shaping the “elementary” behaviours. We examine the case of dependence relationships.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bicchieri, C.: Norms of cooperation. Ethics 100, 838–861 (1990)

    Article  Google Scholar 

  2. Boehm, C.: Rational Preselection. From Hanadryas to Homo Sapiens: the Place of Decisions in Adaptive Process. American Anthropologist 80(2), 265–285 (1978)

    Article  Google Scholar 

  3. Brooks, R.A.: Intelligence Without Representation. Artificial Intelligence 47, 139–159 (1991)

    Article  Google Scholar 

  4. Castelfranchi, C.: Modeling social action for AI agents. In: IJCAI 1998. Nagoya, Japan (1997a)

    Google Scholar 

  5. Castelfranchi, C.: Challenges for agent-based social simulation. The theory of social functions. In: IP-CNR, TR. Sett. 1997; invited talk at SimSoc 1997. Cortona, Italy (1997b)

    Google Scholar 

  6. Castelfranchi, C.: Social power: a point missed in Multi-Agent, DAI, and HCI. In: Demazeau, Y., Muller, J.P. (eds.) Decentralized A. I. North-Holland, Amsterdam (1990)

    Google Scholar 

  7. Castelfranchi, C., Conte, R.: Emergent functionalitiy among intelligent systems: Cooperation within and without minds. AI & Society 6, 78–93 (1992)

    Article  Google Scholar 

  8. Conte, R., Castelfranchi, C.: Cognitive and Social Action. UCL Press, London (1995)

    Google Scholar 

  9. Conte, R., Castelfranchi, C., Veneziano, V.: The Computer Simulation of Partnership Formation. Computational and Mathematical Organization Theory (in press)

    Google Scholar 

  10. Conte, R., Castelfranchi, C.: From conventions to prescriptions. Towards a unified theory of norms. AI&Law (in press)

    Google Scholar 

  11. Conte, R., Gilbert, N.: An introduction to Artificial Societies: the computer simulation of social life. UCL Press, London (1995)

    Google Scholar 

  12. Crutchfield, P.: The Calculi of Emergence: Computation, Dynamics, and Induction. Physica D 75, 11–54 (1994)

    Article  MATH  Google Scholar 

  13. Doran, J.: Simulating Collective Misbeliefs. JASSS, I 1 (1998)

    Google Scholar 

  14. Elster, J.: Marxism, functionalism and game-theory: the case for methodological individualism. Theory and Society 11, 453–481 (1982)

    Article  Google Scholar 

  15. Gilbert, G.N.: Emergence in social simulation. In: Gilbert, G.N., Conte, R. (eds.) Artificial societies: The computer simulation of social life. UCL Press, London (1995)

    Google Scholar 

  16. Haken, H.: Synergetics, computers and cognition. Springer, Berlin (1991)

    Google Scholar 

  17. Mataric, M.: Designing Emergent Behaviors: From Local Interactions to Collective Intelligence. In: Simulation of Adaptive Behavior 2. MIT Press, Cambridge (1992)

    Google Scholar 

  18. Memmi, D., Nguyen-Xuan, A.: Learning and Emergence: An Introduction. LIMSI-CNRS, Orsay, TR (1994)

    Google Scholar 

  19. Purtugaly, J., Benenson, I., Omer, I.: Agent-based simulation of city dynamics. In: SimSoc 1997, Cortona, Italy (1997)

    Google Scholar 

  20. Sichman, J., Conte, R.: DEPNET: How to benefit from social dependence. Journal of Mathematical Sociology 2, 1–17

    Google Scholar 

  21. Sichman, J.: Du Raisonnement Social Chez les Agents. PhD Thesis, Polytechnique - LAFORIA, Grenoble (1995)

    Google Scholar 

  22. Steels, L.: Cooperation between distributed agents through selforganization. In: Demazeau, Y., Mueller, J.P. (eds.) Decentralized AI. North-Holland, Elsevier (1990)

    Google Scholar 

  23. Virasoro, M.A.: Interview on Complexity, by Franco Foresta Martin. Trieste, SISSA, TR (1996)

    Google Scholar 

  24. Werner, E.: Social Intentions. In: Proceedings of ECAI 1988, Munich, WG. ECCAI, pp. 719–723 (1988)

    Google Scholar 

  25. Weisbuch, G.: Societies, cultures and fisheries from a modeling perspective. In: SimSoc 1997, Cortona, Italy (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IP – CNR National Research Council, Group of “Artificial Intelligence, Cognitive Modelling and Interaction”, Viale Marx, 15, 00137, ROMA, Italy

    Cristiano Castelfranchi

Authors
  1. Cristiano Castelfranchi
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Laboratório de Técnicas Inteligentes (LTI) Escola Politécnica (EP), Universidade de São Paulo (USP),  

    Jaime Simão Sichman

  2. Institute for Cognitive Science and Technology, Rome, Italy

    Rosaria Conte

  3.  ,  

    Nigel Gilbert

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Castelfranchi, C. (1998). Simulating with Cognitive Agents: The Importance of Cognitive Emergence . In: Sichman, J.S., Conte, R., Gilbert, N. (eds) Multi-Agent Systems and Agent-Based Simulation. MABS 1998. Lecture Notes in Computer Science(), vol 1534. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10692956_3

Download citation

  • DOI: https://doi.org/10.1007/10692956_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65476-6

  • Online ISBN: 978-3-540-49246-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation