Multiagent Systems: A Modern Approach to Dis- tributed Artificial Intelligence A Review

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Sparse cooperative Q-learning (2004, background): “A multiagent system (MAS) consists of a group of agents that can potentially interact with each other (Weiss, 1999; Vlassis, 2003).”
Agent-based computing from multi-agent systems to agent-based models: a visual survey (2011, background): “An agent can range from a “ software agent ” or “service/daemon” , which might not behave very intelligently to an intelligent agent, which is based on models of artificially intelligent behavior (Wooldridge 2009; Weiss 1998).”
Statistical physics of social dynamics (2007, methodology): “…Life community has been the first in developing agent-based models (Maes, 1991; Meyer and Wilson, 1990; Steels, 1995; Varela and Bourgine, 1992; Weiss, 1999), but since then agent-based simulations have become an important tool in other scientific fields and in particular in the study of…”
Agent-based systems for manufacturing (2006, background): “Typical examples are blackboards [3] or the pheromones in stigmergy-based coordination [47] [45].”
Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions (2019, methodology): “In this case, with the model-free RL method, the agent can interact with the environment by exploring the state space and the action space as a trial-and-error learner [104], [105].”