An abstract representation model for evolutionary analysis of multi-agent interactions

Arash Shaban-Nejad, Volker Haarslev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Intelligent agents are able to assist human in managing highly dynamic and complex systems in various knowledge intensive domains. The communication between different agents interacting in an integrated multi-agents system can be managed through a set of steering rules, which together form interaction protocols. To support the negotiation, communication and interaction between different intelligent agents, using an appropriate knowledge representation formalism is crucial. This paper introduces the potential of category theory as a formal representation vehicle to facilitate evolutionary analysis of agent interaction and negotiation for managing evolving ontologies in the domain of biomedicine. Utilizing categories supports agents' communication, negotiation, state transitions, compositions and transformations in different levels of abstractions.

Original languageEnglish (US)
Title of host publication2011 IEEE Congress of Evolutionary Computation, CEC 2011
Pages2002-2009
Number of pages8
DOIs
StatePublished - Aug 29 2011
Event2011 IEEE Congress of Evolutionary Computation, CEC 2011 - New Orleans, LA, United States
Duration: Jun 5 2011Jun 8 2011

Publication series

Name2011 IEEE Congress of Evolutionary Computation, CEC 2011

Other

Other2011 IEEE Congress of Evolutionary Computation, CEC 2011
CountryUnited States
CityNew Orleans, LA
Period6/5/116/8/11

Fingerprint

Intelligent agents
Intelligent Agents
Communication
Interaction
Interaction Protocols
Category Theory
Knowledge representation
Domain Knowledge
State Transition
Integrated System
Knowledge Representation
Multi agent systems
Multi-agent Systems
Dynamic Systems
Ontology
Large scale systems
Complex Systems
Dynamical systems
Model
Network protocols

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Shaban-Nejad, A., & Haarslev, V. (2011). An abstract representation model for evolutionary analysis of multi-agent interactions. In 2011 IEEE Congress of Evolutionary Computation, CEC 2011 (pp. 2002-2009). [5949861] (2011 IEEE Congress of Evolutionary Computation, CEC 2011). https://doi.org/10.1109/CEC.2011.5949861

An abstract representation model for evolutionary analysis of multi-agent interactions. / Shaban-Nejad, Arash; Haarslev, Volker.

2011 IEEE Congress of Evolutionary Computation, CEC 2011. 2011. p. 2002-2009 5949861 (2011 IEEE Congress of Evolutionary Computation, CEC 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shaban-Nejad, A & Haarslev, V 2011, An abstract representation model for evolutionary analysis of multi-agent interactions. in 2011 IEEE Congress of Evolutionary Computation, CEC 2011., 5949861, 2011 IEEE Congress of Evolutionary Computation, CEC 2011, pp. 2002-2009, 2011 IEEE Congress of Evolutionary Computation, CEC 2011, New Orleans, LA, United States, 6/5/11. https://doi.org/10.1109/CEC.2011.5949861
Shaban-Nejad A, Haarslev V. An abstract representation model for evolutionary analysis of multi-agent interactions. In 2011 IEEE Congress of Evolutionary Computation, CEC 2011. 2011. p. 2002-2009. 5949861. (2011 IEEE Congress of Evolutionary Computation, CEC 2011). https://doi.org/10.1109/CEC.2011.5949861
Shaban-Nejad, Arash ; Haarslev, Volker. / An abstract representation model for evolutionary analysis of multi-agent interactions. 2011 IEEE Congress of Evolutionary Computation, CEC 2011. 2011. pp. 2002-2009 (2011 IEEE Congress of Evolutionary Computation, CEC 2011).
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