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Agent Theory

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CIRP Encyclopedia of Production Engineering
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Synonyms

Agent systems; Agent-based computing; Autonomous agents; Multi-agent system

Definition

Agent theory provides the basis for a novel paradigm of computation. While agent-based computing (or simply, agent system) has several roots as far as its concepts, models, and enabling technologies are concerned, there is a general consensus about its two main abstractions (Wooldridge 2009; Luck et al. 2005; Shoham and Leyton-Brown 2009):

  • An agent is a computational system that is situated in an unpredictable, dynamic environment where it is capable of exhibiting autonomous and intelligent behavior.

  • An agent’s environment typically includes also other agents with diverging information and/or interests. The community of interacting agents, as a whole, operates as a multi-agent system (MAS) that can solve such complex problems that are beyond the limits of individual agents.

Theory and Application

History

The theory of computational agents goes back at least a quarter of a century when...

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References

  • Axelrod R (2006) The evolution of cooperation, Rev edn. Basic Books, Cambridge

    Google Scholar 

  • Bordini RH, Dastani M, Dix J, El Fallah SA (eds) (2009) Multi-agent programming: languages, platforms tools and applications. Springer, New York

    MATH  Google Scholar 

  • FIPA: Foundation for Intelligent Physical Agents. www.fipa.org. Accessed 20 June 2013

  • Gilbert N (2008) Agent-based models. Sage, Thousand Oaks

    Book  Google Scholar 

  • Hatvany J (1985) Intelligence and cooperation in heterarchic manufacturing systems. Comput Integr Manuf Syst 2(2):101–104

    Article  Google Scholar 

  • Jennings NR (2001) An agent-based approach for building complex software systems. Commun ACM 44(4):35–41

    Article  Google Scholar 

  • Lu SY-C, Elmaraghy W, Schuh G, Wilhelm R (2007) A scientific foundation of collaborative engineering. CIRP Ann Manuf Technol 56(2):605–634

    Article  Google Scholar 

  • Luck M, McBurney P, Shehory O, Willmott S (2005) Agent technology: computing as interaction. A roadmap for agent-based computing. AgentLink III. http://www.agentlink.org/roadmap/al3rm.pdf. Accessed 20 June 2013

  • Monostori L, Váncza J, Kumara SRT (2006) Agent-based systems for manufacturing. CIRP Ann Manuf Technol 55(2):697–720

    Article  Google Scholar 

  • Russell S, Norvig P (1995) Artificial intelligence: a modern approach. Prentice Hall, Upper Saddle River

    MATH  Google Scholar 

  • Shen W, Hao Q, Yoon H-J, Norrie DH (2006) Applications of agent-based systems in intelligent manufacturing: an updated review. Adv Eng Inform 20(4):415–431

    Article  Google Scholar 

  • Shoham Y, Leyton-Brown K (2009) Multiagent systems: algorithmic, game-theoretic, and logical foundations. Cambridge University Press, Cambridge, UK

    MATH  Google Scholar 

  • Ueda K, Márkus A, Monostori L, Kals HJJ, Arai T (2001) Emergent synthesis methodologies for manufacturing. CIRP Ann Manuf Technol 50(2):535–551

    Article  Google Scholar 

  • Váncza J, Monostori L, Lutters D, Kumara SRT, Tseng M, Valckenaers P, Van Brussel H (2011) Cooperative and responsive manufacturing enterprises. CIRP Ann Manuf Technol 60(2):797–820

    Article  Google Scholar 

  • Wooldridge M (2009) An introduction to multiagent systems, 2nd edn. Wiley

    Google Scholar 

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Correspondence to József Váncza .

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Váncza, J. (2016). Agent Theory. In: The International Academy for Produ, Laperrière, L., Reinhart, G. (eds) CIRP Encyclopedia of Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35950-7_16702-5

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  • DOI: https://doi.org/10.1007/978-3-642-35950-7_16702-5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Online ISBN: 978-3-642-35950-7

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