:second workshop, ALA 2009, held as part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009 : revised selected papers
/ Matthew E. Taylor, Karl Tuyls (eds.
Berlin ;New York
: Springer,
, c2010.
1 online resource (vi, 140 p.)
: , ill. (chiefly col.)
(Lecture notes in computer science
(LNCS sublibrary. SL 7, Artificial intelligence.)
; 5924.Lecture notes in artificial intelligence.)
Print
Includes bibliographical references and index.
Abstraction and generalization in reinforcement learning : a summary and framework / Marc Ponsen, Matthew E. Taylor, and Karl Tuyls -- The effects of evolved sociability in a commons dilemma / Enda Howley and Jim Duggan -- Replicator dynamics for multi-agent learning : an orthogonal approach / Michael Kaisers and Karl Tuyls -- Decentralized learning in wireless sensor networks / Mihail Mihaylov, Karl Tuyls, and Ann Nowae -- Recursive adaptation of stepsize parameter for non-stationary environments / Itsuki Noda -- Multiagent reinforcement learning model for the emergence of common property and transhumance in sub-Saharan Africa / Balaazs Pintaer, aAkos Bontovics, and Andraas Liorincz -- Learning to locate trading partners in agent networks / John Porter, Kuheli Chakraborty, and Sandip Sen -- Coordinating learning agents for multiple resource job scheduling / Kagan Tumer and John Lawson.
Lecture notes in computer science
Lecture notes in computer science.Lecture notes in artificial intelligence