Simulating processes of language emergence, communication and agent modeling

We discuss two different approaches for modeling other agents in multiagent systems. One approach is based on language between agents and modeling their cognitive processes. Another approach utilizes game theory and is based on modeling utilities of other agents. In both cases, we discuss how different machine learning paradigms can be utilized for acquiring experience from the environment and other agents.

[1]  E. Oja,et al.  Asymmetric multiagent reinforcement learning in pricing applications , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

[2]  T. Honkela,et al.  Simulating the Emergence of a Shared Conceptual System in a Multi-Agent Environment , 2022 .

[3]  Timo Honkela,et al.  Contextual Relations of Words in Grimm Tales, Analyzed by Self-Organizing Map , 1995 .

[4]  Timo Honkela,et al.  Framework for Modeling Partial Conceptual Autonomy of Adaptive and Communicating Agents , 2003 .

[5]  Rolf Pfeifer,et al.  Understanding intelligence , 2020, Inequality by Design.

[6]  Ville Könönen,et al.  Policy Gradient Method for Team Markov Games , 2004, IDEAL.

[7]  Timo Honkela,et al.  Simulating Language Learning in Community of Agents Using Self-Organizing Maps , 2003 .

[8]  Peter Gärdenfors,et al.  Conceptual spaces - the geometry of thought , 2000 .

[9]  Timo Honkela Neural Nets that Discuss: A General Model of Communication Based on Self-Organizing Maps , 1993 .

[10]  V. Kononen,et al.  Asymmetric multiagent reinforcement learning , 2003, IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003..

[11]  T. Kohonen,et al.  Self-organizing semantic maps , 1989, Biological Cybernetics.

[12]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[13]  T. Kohonen Self-organized formation of topology correct feature maps , 1982 .

[14]  Terence Moore,et al.  The Limitations of Language , 1988 .

[15]  Gerhard Jäger CONVEX MEANINGS AND EVOLUTIONARY STABILITY , 2006 .