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Background

  • António J. M. CastroEmail author
  • Ana Paula Rocha
  • Eugénio Oliveira
Chapter
  • 839 Downloads
Part of the Studies in Computational Intelligence book series (SCI, volume 562)

Abstract

Chapter 1 introduced the main problem we address through the research reported in this study, including the motivation, research methodology (observations, hypotheses and expected results) and the main contributions of our work. In this chapter we provide some background in-formation regarding the paradigms, concepts and algorithms that were relevant for the research work we have done namely, Multi-Agent Systems, Automated Negotiation, Reinforcement Learning and Problem Solving Algorithms. It is not our intention to provide a full description of such subjects but only the necessary information for the reader to understand these scientific topics and the rationale that made us to use them.

Keywords

Reinforcement Learn Short Path Problem Hill Climbing Full Knowledge Negotiation Protocol 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • António J. M. Castro
    • 1
    Email author
  • Ana Paula Rocha
    • 2
  • Eugénio Oliveira
    • 2
  1. 1.LIACCUniversity of PortoPortoPortugal
  2. 2.LIACC, DEI, FEUPUniversity of PortoPortoPortugal

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