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CIA
2006
Springer
13 years 11 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
ATAL
2008
Springer
13 years 10 months ago
Robust team-play in highly uncertain environments
Effective teamwork in highly dynamic environments requires a delicate balance between giving agents the autonomy to act and react on their own and restricting that autonomy so tha...
Henry Work, Eric Chown, Tucker Hermans, Jesse Butt...
IJCSS
2007
97views more  IJCSS 2007»
13 years 7 months ago
Collaborative Multi-Agent-based e-Commerce Framework
Software agents offer a promise to change electronic commerce trading by helping traders to purchase products based on their interests and preferences. E-commerce systems are incr...
Tarek Helmy
ATAL
2007
Springer
14 years 2 months ago
An adversarial environment model for bounded rational agents in zero-sum interactions
Multiagent environments are often not cooperative nor collaborative; in many cases, agents have conflicting interests, leading to adversarial interactions. This paper presents a ...
Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschei...
AGENTS
1997
Springer
14 years 2 days ago
Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment
Recent developments in philosophy, linguistics, developmental psychology and arti cial intelligence make it possible to envision a developmental path for an arti cial agent, groun...
Paul R. Cohen, Marc S. Atkin, Tim Oates, Carole R....