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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 7 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
AGENTS
1999
Springer
15 years 5 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
127
Voted
AI
2008
Springer
15 years 28 days ago
Strategic bidding in continuous double auctions
In this paper, we describe a novel bidding strategy that autonomous trading agents can use to participate in Continuous Double Auctions (CDAs). Our strategy is based on both short...
Perukrishnen Vytelingum, Dave Cliff, Nicholas R. J...
PERCOM
2008
ACM
16 years 12 days ago
Multiagent Place-Based Virtual Communities for Pervasive Computing
This paper proposes a multiagent based virtual community as a new means to support pervasive computing services. We give a conceptual definition of the concept of Place-Based Virt...
Tuan Nguyen, Seng Wai Loke, Torab Torabi, Hongen L...
96
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IAT
2008
IEEE
15 years 7 months ago
Multiagent Technology Solutions for Planning in Ambient Intelligence
In presence of reconfigurable environments, such as AmI systems, the orchestration and coordination of more devices involved in the execution of services requested by users is of...
Nicola Gatti, Francesco Amigoni, Marco Rolando