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82
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CEC
2007
IEEE
15 years 7 months ago
Emergent specialization in the extended multi-rover problem
Abstract— This paper introduces the Collective Neuro Evolution (CONE) method, and compares its efficacy for designing specialization, with a conventional Neuro-Evolution (NE) me...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
96
Voted
ATAL
2007
Springer
15 years 7 months ago
Estimating information value in collaborative multi-agent planning systems
This paper addresses the problem of identifying the value of information held by a teammate on a distributed, multi-agent team. It focuses on a distributed scheduling task in whic...
David Sarne, Barbara J. Grosz
107
Voted
ATAL
2007
Springer
15 years 7 months ago
Incentive compatible ranking systems
Ranking systems are a fundamental ingredient of multi-agent environments and Internet Technologies. These settings can be viewed as social choice settings with two distinguished p...
Alon Altman, Moshe Tennenholtz
ACMACE
2006
ACM
15 years 6 months ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher
90
Voted
IAT
2005
IEEE
15 years 6 months ago
Complexity of a theory of collective attitudes in teamwork
Our previous research presents a methodology of cooperative problem solving for BDI systems, based on a complete formal theory. This covers both a static part, defining individua...
Marcin Dziubinski, Rineke Verbrugge, Barbara Dunin...