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» Learning to Optimize Plan Execution in Information Agents
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AAAI
2007
13 years 9 months ago
Detecting Execution Failures Using Learned Action Models
reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting w...
Maria Fox, Jonathan Gough, Derek Long
ATAL
2010
Springer
13 years 8 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
ATAL
2006
Springer
13 years 11 months ago
Learning executable agent behaviors from observation
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
Andrew Guillory, Hai Nguyen, Tucker R. Balch, Char...
AIPS
2009
13 years 8 months ago
Optimality Properties of Planning Via Petri Net Unfolding: A Formal Analysis
We provide a theoretical analysis of planning via Petri net unfolding, a novel technique for synthesising parallel plans. Parallel plans are generally valued for their execution f...
Sarah L. Hickmott, Sebastian Sardiña
AGENTS
1998
Springer
13 years 11 months ago
Issues in Temporal Reasoning for Autonomous Control Systems
Deep Space One will be the rst spacecraft to be controlled by an autonomous agent potentially capable of carrying out a complete mission with minimal commandingfrom Earth. The New...
Nicola Muscettola, Paul H. Morris, Barney Pell, Be...