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Learning Systems Engineering

Learning Systems Engineering

Valentina Plekhanova
Copyright: © 2005 |Pages: 7
ISBN13: 9781591405535|ISBN10: 159140553X|EISBN13: 9781591407942
DOI: 10.4018/978-1-59140-553-5.ch320
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MLA

Plekhanova, Valentina. "Learning Systems Engineering." Encyclopedia of Information Science and Technology, First Edition, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2005, pp. 1820-1826. https://doi.org/10.4018/978-1-59140-553-5.ch320

APA

Plekhanova, V. (2005). Learning Systems Engineering. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, First Edition (pp. 1820-1826). IGI Global. https://doi.org/10.4018/978-1-59140-553-5.ch320

Chicago

Plekhanova, Valentina. "Learning Systems Engineering." In Encyclopedia of Information Science and Technology, First Edition, edited by Mehdi Khosrow-Pour, D.B.A., 1820-1826. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-553-5.ch320

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Abstract

Traditionally multi-agent learning is considered as the intersection of two subfields of artificial intelligence: multi-agent systems and machine learning. Conventional machine learning involves a single agent that is trying to maximise some utility function without any awareness of existence of other agents in the environment (Mitchell, 1997). Meanwhile, multi-agent systems consider mechanisms for the interaction of autonomous agents. Learning system is defined as a system where an agent learns to interact with other agents (e.g., Clouse, 1996; Crites & Barto, 1998; Parsons, Wooldridge & Amgoud, 2003). There are two problems that agents need to overcome in order to interact with each other to reach their individual or shared goals: since agents can be available/unavailable (i.e., they might appear and/or disappear at any time), they must be able to find each other, and they must be able to interact (Jennings, Sycara & Wooldridge, 1998).

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