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Adaptive agents and multi-agent systems II

Permalink: http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:34733/TOC
Ostali autori: Kudenko, Daniel, 1968- (-), Kazakov, Dimitar, 1967-, Alonso, Eduardo, 1967-
Vrsta građe: Knjiga
Jezik: eng
Impresum: Berlin ; New York : Springer-Verlag, 2005.
Nakladnička cjelina: Lecture notes in computer science ; 3394.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Predmet:
Intelligent agents (Computer software).
Artificial intelligence.
Online pristup: Publisher description
Sadržaj:
  • Gödel Machines: Towards a Technical Justification of Consciousness
  • - Jürgen Schmidhuber
  • Postext – A Mind for Society
  • - Avishalom Shalit, Tom Erez, Anna Deters, Uri Hershberg, Eran Shir, Sorin Solomon
  • Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure
  • - Mark Bartlett, Dimitar Kazakov
  • Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems
  • - Martin Carpenter, Daniel Kudenko
  • SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report
  • - Christopher Child, Kostas Stathis
  • Towards Time Management Adaptability in Multi-agent Systems
  • - Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yolande Berbers
  • Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems
  • - Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens
  • Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems
  • - Spiros Kapetanakis, Daniel Kudenko
  • Evolving the Game of Life
  • - Dimitar Kazakov, Matthew Sweet
  • The Strategic Control of an Ant-Based Routing System Using Neural Net Q-Learning Agents
  • - David Legge
  • Dynamic and Distributed Interaction Protocols
  • - Jarred McGinnis, David Robertson
  • Advice-Exchange Between Evolutionary Algorithms and Reinforcement Learning Agents: Experiments in the Pursuit Domain
  • - Luís Nunes, Eugénio Oliveira
  • Evolving Strategies for Agents in the Iterated Prisoner’s Dilemma in Noisy Environments
  • - Colm O’Riordan
  • Experiments in Subsymbolic Action Planning with Mobile Robots
  • - John Pisokas, Ulrich Nehmzow
  • Robust Online Reputation Mechanism by Stochastic Approximation
  • - Takamichi Sakai, Kenji Terada, Tadashi Araragi
  • Learning Multi-agent Search Strategies
  • - Malcolm J. A. Strens
  • Combining Planning with Reinforcement Learning for Multi-robot Task Allocation
  • - Malcolm Strens, Neil Windelinckx
  • Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games
  • - Katja Verbeeck, Ann Nowé, Maarten Peeters, Karl Tuyls
  • Towards Adaptive Role Selection for Behavior-Based Agents
  • - Danny Weyns, Kurt Schelfthout, Tom Holvoet, Olivier Glorieux

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