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» Simplifying the Development of Intelligent Agents
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CIA
2006
Springer
15 years 4 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
108
Voted
EVOW
2006
Springer
15 years 4 months ago
A Connectionist Architecture for the Evolution of Rhythms
In this paper we propose the use of an interactive multi-agent system for the study of rhythm evolution. The aim of the model proposed here is to show to what extent new rhythms em...
João Magalhães Martins, Eduardo Reck...
82
Voted
ATAL
2005
Springer
15 years 6 months ago
Development of Self-organising Emergent Applications with Simulation-Based Numerical Analysis
The goal of engineering self-organising emergent systems is to acquire a macroscopic system behaviour solely from autonomous local activity and interaction. Due to the non-determin...
Tom De Wolf, Tom Holvoet, Giovanni Samaey
90
Voted
ICMLA
2007
15 years 2 months ago
Learning complex problem solving expertise from failures
Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
106
Voted
AAAI
2010
15 years 2 months ago
Facilitating the Evaluation of Automated Negotiators using Peer Designed Agents
Computer agents are increasingly deployed in settings in which they make decisions with people, such as electronic commerce, collaborative interfaces, and cognitive assistants. Ho...
Raz Lin, Sarit Kraus, Yinon Oshrat, Ya'akov (Kobi)...