Multi-Agent Systems (Elective)
Full course description
Section titled “Full course description”Multi-Agent Systems introduces the student to systems composed of multiple interacting intelligent agents. An agent is a computational being, such as a software program, robot or human. Agents operate in some environment, which they can observe and in which they can realize objectives through the execution of actions. Multi-agent systems are an enabling technology for applications that rely on distributed and parallel processing of data, information and knowledge in complex computing environments. Due to advances in inter-connectivity and interoperability of computers and software such applications are becoming standard in a variety of domains such as e-commerce, logistics, supply chain management, telecommunication, health care and manufacturing. This course covers the key conceptual, theoretical and practical foundations of multi-agent systems. The following topics, among others, will be discussed: agent-agent communication, automated negotiation and argumentation in cooperative and competitive settings, multi-agent learning and planning, automated decision making based on voting and auctioning, and development and engineering of agent-based systems. After completing this course student will be familiar with the underlying theory of agents, and multi-agent systems. The student will be able to judge whether a multi-agent approach is beneficial to use over other approaches for handling the same problem.
Prerequisites
Section titled “Prerequisites”Basic logic, basic mathematics, probability theory and Java programming.
Recommended reading
Section titled “Recommended reading”Multiagent Systems Algorithmic, Game-Theoretic, and Logical Foundations” by Yoav Shoham and Kevin Leyton-Brown. Cambridge University Press, 2009. This book is also available as ebook: http://www.masfoundations.org/.
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