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133
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CIA
2006
Springer
15 years 7 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
MAGS
2010
81views more  MAGS 2010»
14 years 10 months ago
Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
Sébastien Paquet, Brahim Chaib-draa, Patric...
135
Voted
SMC
2007
IEEE
125views Control Systems» more  SMC 2007»
15 years 9 months ago
A hierarchical strategy for learning of robot walking strategies in natural terrain environments
– In this paper, we present a hierarchical methodology that learns new walking gaits autonomously while operating in an uncharted environment, such as on the Mars planetary surfa...
Ayanna M. Howard, Lonnie T. Parker
167
Voted
GROUP
2003
ACM
15 years 8 months ago
Collaborative virtual environments for supporting learning communities: an experience of use
In this paper we present the experiences of usage of Viras, a collaborative virtual environment for social awareness support in educational settings. Collaborative Virtual environ...
Ekaterina Prasolova-Førland, Monica Divitin...
140
Voted
EDM
2009
147views Data Mining» more  EDM 2009»
15 years 1 months ago
an Argument Learning Environment Using Agent-Based ITS (ALES)
This paper presents an agent-based educational environment to teach argument analysis (ALES). The idea is based on the Argumentation Interchange Format Ontology (AIF) using "W...
Safia Abbas, Hajime Sawamura