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State-of-the-Art of Intention Recognition and its Use in Decision Making
2013
HanPer-AIcom13
Intention recognition (IR) is the process of becoming aware of the intentions of other agents, inferring them through observed actions or effects on the environment. IR enables pro-activeness, in cooperating or promoting cooperation, and in preempting danger. It can be performed incrementally, which amounts to learning. It can use past experience from a database of past interactions, not necessarily with same agent. Bayesian Networks can be employed to dynamically summarize general statistical evidence, furnishing heuristic information to link with the situation specific information, about which logical reasoning can take place, and decisions made on actions to be performed, possibly involving new observations. We provide a review bearing on the state-of-the-art work on intention and plan recognition, including comparison with our research.
Journal
Han The Anh, Luís Moniz Pereira
AI Communications
IOS Press
http://iospress.metapress.com/content/103140/
26
2
237–246
-
0921-7126
doi: 10.3233/AIC-130559
http://centria.di.fct.unl.pt/~lmp/publications/online-papers/IR_SoA.pdf
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Han The Anh and Luís Moniz Pereira, State-of-the-Art of Intention Recognition and its Use in Decision Making, AI Communications, Vol. 26, No. 2, Pag. 237–246, IOS Press, http://iospress.metapress.com/content/103140/, ISSN 0921-7126, <i>doi: 10.3233/AIC-130559</i>, (http://centria.di.fct.unl.pt/~lmp/publications/online-papers/IR_SoA.pdf), 2013.
<b><a href="/people/members/view.php?code=cdc7090d1f84f56c0671baa36e87bd77" class="author">Han The Anh</a> and <a href="/people/members/view.php?code=6175f826202ff877fba2ad77784cb9cb" class="author">Luís Moniz Pereira</a></b>, <u>State-of-the-Art of Intention Recognition and its Use in Decision Making</u>, AI Communications, Vol. 26, No. 2, Pag. 237–246, <a href="http://www.iospress.nl/" title="Link to external entity..." target="_blank" class="publisher">IOS Press</a>, http://iospress.metapress.com/content/103140/, ISSN 0921-7126, <i>doi: 10.3233/AIC-130559</i>, (<a href="http://centria.di.fct.unl.pt/~lmp/publications/online-papers/IR_SoA.pdf" target="_blank">url</a>), 2013.
@article {HanPer-AIcom13, author = {Han The Anh and Lu\'{\i}s Moniz Pereira}, title = {State-of-the-Art of Intention Recognition and its Use in Decision Making}, journal = {AI Communications}, publisher = {IOS Press}, address = {http://iospress.metapress.com/content/103140/}, volume = {26}, number = {2}, pages = {237–246}, issn = {0921-7126}, note = {doi: 10.3233/AIC-130559}, url = {http://centria.di.fct.unl.pt/~lmp/publications/online-papers/IR_SoA.pdf}, abstract = {Intention recognition (IR) is the process of becoming aware of the intentions of other agents, inferring them through observed actions or effects on the environment. IR enables pro-activeness, in cooperating or promoting cooperation, and in preempting danger. It can be performed incrementally, which amounts to learning. It can use past experience from a database of past interactions, not necessarily with same agent. Bayesian Networks can be employed to dynamically summarize general statistical evidence, furnishing heuristic information to link with the situation specific information, about which logical reasoning can take place, and decisions made on actions to be performed, possibly involving new observations. We provide a review bearing on the state-of-the-art work on intention and plan recognition, including comparison with our research.}, keywords = {Intention Recognition, Decision Making, Bayesian Networks, Logic Programming}, year = {2013}, }
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