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ATAL
2006
Springer
15 years 10 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
AAAI
2007
15 years 9 months ago
Optimal Multi-Agent Scheduling with Constraint Programming
We consider the problem of computing optimal schedules in multi-agent systems. In these problems, actions of one agent can influence the actions of other agents, while the object...
Willem Jan van Hoeve, Carla P. Gomes, Bart Selman,...
AAAI
2007
15 years 9 months ago
Situated Conversational Agents
A Situated Conversational Agent (SCA) is an agent that engages in dialog about the context within which it is embedded. Situated dialog is characterized by its deep connection to ...
William Thompson
FOSSACS
2008
Springer
15 years 8 months ago
Symbolic Semantics Revisited
Abstract. Symbolic bisimulations were introduced as a mean to define value-passing process calculi using smaller, possibly finite labelled transition systems, equipped with symboli...
Filippo Bonchi, Ugo Montanari
AGI
2008
15 years 8 months ago
LIDA and a Theory of Mind
Every agent aspiring to human level intelligence, every AGI agent, must be capable of a theory of mind. That is, it must be able to attribute mental states, including intentions, t...
David Friedlander, Stan Franklin