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Foundations of Multiagent Systems

Architecting an artificial society requires extensive formalism in both algorithm and modeling. Here I explore different aspects of multiagent systems and their roots in game theory, artificial intelligence, distibuted computing, object-oriented programming, complexity and emergence. The goal is to grow a list of documents that contain formal and informal basis for designing, developing and deploying a multiagent system.

Resources

  • Multiagent Systems, Second Edition. United Kingdom, MIT Press, 2013.
  • Shoham, Yoav, and Leyton-Brown, Kevin. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. United Kingdom, Cambridge University Press, 2009.
  • Wooldridge, Michael. An Introduction to MultiAgent Systems. United Kingdom, Wiley, 2013.
  • Pareschi, Lorenzo, and Toscani, Giuseppe. Interacting Multiagent Systems: Kinetic Equations and Monte Carlo Methods. United Kingdom, OUP Oxford, 2014.
  • Boissier, Olivier, et al. Multi-Agent Oriented Programming: Programming Multi-Agent Systems Using JaCaMo. United Kingdom, MIT Press, 2020.
  • Economics and Computation: An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division. Germany, Springer Berlin Heidelberg, 2015.
  • Algorithmic Game Theory. United Kingdom, Cambridge University Press, 2007.
  • Wilensky, Uri, and Rand, William. An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. United Kingdom, MIT Press, 2015.
  • Railsback, Steven F., and Grimm, Volker. Agent-Based and Individual-Based Modeling: A Practical Introduction. United Kingdom, Princeton University Press, 2012.
  • Agent-Based Models in Economics: A Toolkit. United Kingdom, Cambridge University Press, 2018.
  • Downey, Allen. Think Complexity: Complexity Science and Computational Modeling. Japan, O'Reilly, 2018.
  • Namatame, Akira, and Chen, Shu-Heng. Agent-Based Modeling and Network Dynamics. United Kingdom, OUP Oxford, 2015.
  • Epstein, Joshua M., and Axtell, Robert. Growing Artificial Societies: Social Science from the Bottom Up. United Kingdom, MIT Press, 1996.
  • Epstein, Joshua M.. Generative social science : studies in agent-based computational modeling. United Kingdom, Princeton University Press, 2006.
  • Axelrod, Robert M.. The Complexity of Cooperation: Agent-based Models of Competition and Collaboration. United Kingdom, Princeton University Press, 1997.
  • Albin, Peter S.. Barriers and Bounds to Rationality: Essays on Economic Complexity and Dynamics in Interactive Systems. United Kingdom, Princeton University Press, 1998.
  • Epstein, Joshua M.. Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science. United Kingdom, Princeton University Press, 2013.

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