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» Learning Models of Intelligent Agents
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144
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MMAS
2011
Springer
14 years 8 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
103
Voted
ATAL
2008
Springer
15 years 3 months ago
An empathic virtual dialog agent to improve human-machine interaction
Recent research has shown that virtual agents expressing empathic emotions toward users have the potentiality to enhance human-machine interaction. To identify under which circums...
Magalie Ochs, Catherine Pelachaud, David Sadek
130
Voted
DALT
2007
Springer
15 years 7 months ago
Integrating Agent Models and Dynamical Systems
Agent-based modelling approaches are usually based on logical languages, whereas in many areas dynamical system models based on differential equations are used. This paper shows ho...
Tibor Bosse, Alexei Sharpanskykh, Jan Treur
IAT
2005
IEEE
15 years 6 months ago
Exploiting Multi-Agent Interactions for Identifying the Best-Payoff Information Source
In many different applications on the Web, distributed agents would like to discover and access high quality information sources. This is a challenging problem since an agent does...
Young-Woo Seo, Katia P. Sycara
93
Voted
JAIR
2007
127views more  JAIR 2007»
15 years 1 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...