Introduction to multiagent systems

By Michael J. Wooldridge. 2001

2,647 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/96e95d254a6f005827c09c9ac3e09444e16e2ecd

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Citations in the corpus

Introduction to normative multiagent systems (2006, background): “For example, Wooldridge’s weak notion of agency is based on flexible autonomous action [2], and social ability as the interaction with other agents and co-operation is one of the three meanings of flexibility; the other two are reactivity as interaction with the environment, and pro-activeness as ta”
Environments for Multiagent Systems State-of-the-Art and Research Challenges (2004, methodology): “Standard literature on MASs used for education, including [73][ 93 ] and [45], only deals very brie∞y with the topic of environments.”
MASON: A Proposal For An Ontology Of Manufacturing Domain (2006, background): “Besides, cognitive agents [15] have to work with a world representation in order to interact with their environment.”
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach (2018, background): “Multi-agent systems have been extensively studied in a variety of domains including robotic teams, resource management, distributed control, etc [1, 3, 9, 21].”
Toward autonomic web services trust and selection (2004, background): “Works by [Huhns and Singh, 1998; Ferber, 1999; Weiss, 1999; Wooldridge, 2002] give good introductions to agency.”
Multi-objective multi-agent decision making: a utility-based analysis and survey (2019, background): “d fault tolerance (the failure of any one agent does not imply failure of the whole system). The agents within a MAS may act cooperatively, competitively, or may exhibit a mixture of these behaviours [121,127]. The majority of MAS implementations aim to optimise agent’s policies with respect to a si”
Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework (2018, background): “Referring to the abstract architecture for agents described in [34], the set of prosumer agents is denoted as”
Developing multiagent systems: The Gaia methodology (2003, methodology): “Given this new landscape, we advocate the use of multiagent systems (MASs) as a software engineering paradigm for designing and developing complex software systems [58, 27, 57 ].”