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ECAL
2007
Springer
13 years 10 months 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
ECAIW
2000
Springer
13 years 9 months ago
Balancing between Reactivity and Deliberation in the ICAGENT Framework
The aim of this paper is to present a framework for developing intelligent agents that act in dynamic and unpredictable environments in a robust and efficient way. To achieve this ...
Vangelis Kourakos Mavromichalis, George A. Vouros
LOPSTR
2001
Springer
13 years 9 months ago
Computing Environment-Aware Agent Behaviours with Logic Program Updates
Abstract. The ability of reacting to changes in the external environment is of crucial importance within the context of software agents. Such feature must however be suitably recon...
José Júlio Alferes, Antonio Brogi, J...
GECCO
2009
Springer
13 years 9 months ago
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
Andrea Soltoggio, Ben Jones
ATAL
2008
Springer
13 years 6 months ago
Continual collaborative planning for mixed-initiative action and interaction
Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
Michael Brenner