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» An Action Selection Architecture for an Emotional Agent
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NN
2006
Springer
122views Neural Networks» more  NN 2006»
13 years 6 months ago
Goals and means in action observation: A computational approach
Many of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be im...
Raymond H. Cuijpers, Hein T. van Schie, Mathieu Ko...
JIRS
2000
144views more  JIRS 2000»
13 years 5 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
ICML
2002
IEEE
14 years 6 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
ECAL
2007
Springer
14 years 7 days ago
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
Edward Robinson, Timothy Ellis, Alastair Channon
IAT
2007
IEEE
14 years 12 days ago
Formalizing Practical Reasoning Under Uncertainty: An Argumentation-Based Approach
Practical reasoning (PR), as advocated by philosophers is concerned by reasoning about what agents should do. It follows mainly two steps. A deliberation one for identifying the g...
Leila Amgoud, Henri Prade