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WETICE
2003
IEEE
15 years 9 months ago
Agent-based Computing for Enterprise Collaboration - What Can Agents Learn from Human Collaboration?
The first “Agent-based Computing for Enterprise Collaboration” workshop at WETICE aimed at bringing together researcher in the field of collaboration supported by software age...
M. Brian Blake, Giacomo Cabri
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
15 years 7 months ago
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
Hitoshi Iba, Makoto Terao
AAAI
2008
15 years 6 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
NIPS
2004
15 years 5 months ago
New Criteria and a New Algorithm for Learning in Multi-Agent Systems
We propose a new set of criteria for learning algorithms in multi-agent systems, one that is more stringent and (we argue) better justified than previous proposed criteria. Our cr...
Rob Powers, Yoav Shoham
IEAAIE
2010
Springer
15 years 2 months ago
The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning m...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...