Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition

Bisson, Francis; Larochelle, Hugo; Kabanza, Froduald

Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition

Francis Bisson, Hugo Larochelle, Froduald Kabanza

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 918-923.

Abstract

Plan recognition, the problem of inferring the goals or plans of an observed agent, is a key element of situation awareness in human-machine and machine-machine interactions for many applications. Some plan recognition algorithms require knowledge about the potential behaviours of the observed agent in the form of a plan library, together with a decision model about how the observed agent uses the plan library to make decisions. It is however difficult to elicit and specify the decision model a priori. In this paper, we present a recursive neural network model that learns such a decision model automatically. We discuss promising experimental results of the approach with comparisons to selected state-of-the-art plan recognition algorithms on three benchmark domains.

Francis Bisson, Hugo Larochelle, and Froduald Kabanza. 2015. Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 918–923. https://ijcai.org/proceedings/2015/134

@inproceedings{ijcai2015p134,
  title     = {Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition},
  author    = {Bisson, Francis and Larochelle, Hugo and Kabanza, Froduald},
  booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-15}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Qiang Yang and Michael Wooldridge},
  pages     = {918--923},
  year      = {2015},
  month     = {7},
  note      = {Main Track},
  url       = {https://ijcai.org/proceedings/2015/134},
}

TY  - CPAPER
TI  - Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition
AU  - Bisson, Francis
AU  - Larochelle, Hugo
AU  - Kabanza, Froduald
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 918
EP  - 923
UR  - https://ijcai.org/proceedings/2015/134
ER  -