Multiagent reinforcement learning model for the emergence of common property and transhumance in Sub-Saharan Africa

Balázs Pintér, Ákos Bontovics, András Lorincz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider social phenomena as challenges and measures for learning in multi-agent scenarios for the following reasons: (i) social phenomena emerge through complex learning processes of groups of people, (ii) a model of a phenomenon sheds light onto the strengths and weaknesses of the learning algorithm in the context of the model environment. In this paper we use tabular reinforcement learning to model the emergence of common property and transhumance in Sub-Saharan Africa. We find that the Markovian assumption is sufficient for the emergence of property sharing, when (a) the availability of resources fluctuates (b) the agents try to maximize their resource intake independently and (c) all agents learn simultaneously.

Original languageEnglish
Title of host publicationAdaptive and Learning Agents - Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference, Revised Selected Papers
Pages91-106
Number of pages16
DOIs
Publication statusPublished - Apr 20 2010
Event2nd Workshop on Adaptive and Learning Agents, ALA 2009. Held as Part of the AAMAS 2009 Conference - Budapest, Hungary
Duration: May 12 2009May 12 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5924 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd Workshop on Adaptive and Learning Agents, ALA 2009. Held as Part of the AAMAS 2009 Conference
CountryHungary
CityBudapest
Period5/12/095/12/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Pintér, B., Bontovics, Á., & Lorincz, A. (2010). Multiagent reinforcement learning model for the emergence of common property and transhumance in Sub-Saharan Africa. In Adaptive and Learning Agents - Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference, Revised Selected Papers (pp. 91-106). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5924 LNAI). https://doi.org/10.1007/978-3-642-11814-2_6