pieter jan hoen iitxyiehqqfbhauqcwinl dear colleages due multiple requests organizers lamas 2005 workshop decided extend deadline till monday 21st march 2400 gmt find call papers best regards organizers ____________________________________________________________ call papers workshop learning adaptation multiagent systems 2005 lamas held aamas 2005 utrecht university netherlands httplamas2005lucacbe ____________________________________________________________ dear colleagues invited submit papers 1st workshop learning adaption mas lamas 2005 lamas 2005 organized within fourth international conference autonomous agents multi agent systems utrecht netherlands prospective participants must also register aamas 2005 conference number participants strictly limited goal workshop increase awareness interest adaptive agent research encourage collaboration ml experts agent system experts give representative overview current research area adaptive agents machine learning techniques single agent frameworks well established agents operate uncertain environments must able learn act autonomously task however complex agent interacts agents potentially different capabilities goals single agent case structurally different multi agent case due added dimension dynamic interactions adaptive agents multiagent learning ie ability agents learn cooperate compete becomes crucial many domains adaptive agents multiagent systems aamas emerging multidisciplinary area encompassing computer science software engineering biology well cognitive social sciences theoretical framework rationality learning interacting agents understood still development mass although promising first results invite contributions cover agent learn using ml techniques act individually andor coordinate one another towards individual common goals open issue realtime noisy collaborative adversarial environments interpret ml techniques broad context include non exhaustive list reinforcement learning genetic algorithms neural networks evolutionary game theoretic approaches learning also interest models coevolving agent populations keyapplications techniques applied example consist load balancing problems traffic management teamwork trust auctions supply chains etc consider three possible ways machine learning used enhance application agent based system 1 agent learn preferences changing priorities associated users 2 agent learn agents environment order compete andor cooperate agent learn agents taking advantage experiences incorporating knowledge base agent also learn almost selfishly limited communication agents 3 agent learn regularities environment would particularly welcome new insights problems related disciplines thus would like emphasize interdisciplinary nature workshop among others papers following kind welcome 1 evaluation effectiveness individual learning strategies eg casebased explanationbased inductive reinforcement multi strategy combinations 2 characterization learning adaptation methods terms modeling power communication abilities knowledge requirement processing abilities individual agents instance use game theoretic models 3 developing learning adaptation strategies reward structures environments cooperative agents selfish agents partially cooperative cooperate individual goals sacrificed environments contain mixture types agents 4 analyzing convergence properties existing algorithms constructing algorithms guarantee convergence stability group behavior 5 evaluating effects knowledge acquisition mechanisms responsiveness agents groups changes agent population environment 6 learning work effective team taking advantage complementary skills resources 7 agents learning via passive nonintrusive observation user behaviors mimicking agents 8 evolving agent behaviors coevolving multiple agents similaropposing interests 9 investigation teacherstudent relationships agents agent associated user 10 applications learning agents including agents learn negotiate contracts learning trustworthiness agents learn detect security threats etc wishing present electronically submit fullscale paper longer 16 pages references figures included karl tuyls wdnrnmwhglucacbe katja verbeeck kaverbeeatvubacbe deadline submission contribution march 14th 2005 contributions reviewed case acceptance published workshop proceedings aamas05 conference authors submit full papers electronically ps pdf format addition authors submit ascii abstract following information title paper names affiliations authors name email snail mail phone number fax number primary contact abstract information included first page submitted papers papers must written english maximum length 16 pages please format papers according lncslnai style latex class available httpwwwspringeronlinecomsgwcdafrontpage0107355164272376 000html correspondence specified primary contact post proceedings selected revised papers published springer lecture notes artificial intelligence ____________________________________________________________ important dates original deadline submission contributions march 14th 2005 extended deadline till monday 21st march notification acceptancerejection april 18th 2005 camera ready copy papers may 15th 2005 workshop date 25th 26th july 2005 precise date announced ____________________________________________________________ furthermore inquiry please hesitate contact organisers ____________________________________________________________ organizing committee karl tuyls primary contact wdnrnmwhglucacbe luc theoretical computer science group pieter jan hoen ccsrcwinl evolutionary systems applied algorithmics sandip sen gfpwyeflffbhzaymgutulsaedu department mathematical computer sciences katja verbeeck kaverbeeatvubacbe computational modeling lab ____________________________________________________________ program committee stephane airiau department mathematical computer sciences university tulsa usa bikramjit banerjee department computer science university tulane usa ana lucia bazzan institute informatics universidade federal rio grande sul brazil sander bohte cwi evolutionary applied algorithmics group netherlands michael goodrich department computer science brigham young university usa daniel kudenko department computer science university york uk han la poutre cwi evolutionary applied algorithmics group netherlands michael littman rutgers university department computer science usa peter mcburney biocomputing computational biology group liverpool uk ann nowe computational modeling lab vrije universiteit brussel belgium simon parsons department computer information science brooklyn college new york usa steve phelps biocomputing computational biology group liverpool uk jan ramon kuleuven dtai group department computer science belgium peter stone department computer sciences university texas austin usa kagan tumer nasa ames research lab usa danny weyns agentwise research group kuleuven belgium david wolpert nasa ames research lab usa ____________________________________________________________ looking forward meeting lamas 05 aamas 05 katja karl pieter jan sandip httplamas2005lucacbe karl tuyls phd wdnrnmwhglucacbe theoretical computer science group university limburg luc 3520 diepenbeek belgium httpalphalucacbelucp1642 wed 06 aug 2008 074036 0100 uai deadline extension lamas79aamas05