Alternatives to Threshold-Based Desire Selection in Bayesian BDI Agents

@inproceedings{Luz2013AlternativesTT,
  title={Alternatives to Threshold-Based Desire Selection in Bayesian BDI Agents},
  author={Bernardo Luz and Felipe Meneguzzi and Rosa Maria Vicari},
  booktitle={EMAS@AAMAS},
  year={2013}
}
Bayesian BDI agents employ bayesian networks to represent uncertain knowledge within an agent's beliefs. Although such models allow a richer belief representation, current models of bayesian BDI agents employ a rather limited strategy for desire selection, namely one based on threshold values on belief probability. Consequently, such an approach precludes an agent from selecting desires conditioned on beliefs with probabilities below a certain threshold, even if those desires could be achieved… 
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