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Publication details
Main information
Context-dependent Incremental Decision Making Srutinizing Intentions of Others via Bayesian Network Model Construction
2013
HanPer-IDTJournal2013
Decision making about which are the scrutinized intentions of others, usually called intention reading or intention recognition, is an elementary basic decision making process required as a basis for other higher level decision making, such as the intention-based decision making which we have set forth in previous work. We present herein a recognition method possessing several features desirable of an elementary process. The several aspects of the method have been experimentally evaluated in applications and achieving definite success, using the Linux plan corpus and the so-called IPD plan corpora, which are playing sequences generated by game playing strategies needing to be recognized, in the iterated Prisoner’s Dilemma. One other application concerns variations of Elder Care in the context of Ambient Intelligence.
Journal
Han The Anh, Luís Moniz Pereira
Intelligent Decision Technologies (IDT)
IOS Press
http://www.iospress.nl/journal/intelligent-decision-technologies/
7
4
293-317
-
1872-4981
doi:10.3233/IDT-130170
http://centria.di.fct.unl.pt/~lmp/publications/online-papers/IR_incremental_context.pdf
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Han The Anh and Luís Moniz Pereira, Context-dependent Incremental Decision Making Srutinizing Intentions of Others via Bayesian Network Model Construction, Intelligent Decision Technologies (IDT), Vol. 7, No. 4, Pag. 293-317, IOS Press, http://www.iospress.nl/journal/intelligent-decision-technologies/, ISSN 1872-4981, <i>doi:10.3233/IDT-130170</i>, (http://centria.di.fct.unl.pt/~lmp/publications/online-papers/IR_incremental_context.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>Context-dependent Incremental Decision Making Srutinizing Intentions of Others via Bayesian Network Model Construction</u>, Intelligent Decision Technologies (IDT), Vol. 7, No. 4, Pag. 293-317, <a href="http://www.iospress.nl/" title="Link to external entity..." target="_blank" class="publisher">IOS Press</a>, http://www.iospress.nl/journal/intelligent-decision-technologies/, ISSN 1872-4981, <i>doi:10.3233/IDT-130170</i>, (<a href="http://centria.di.fct.unl.pt/~lmp/publications/online-papers/IR_incremental_context.pdf" target="_blank">url</a>), 2013.
@article {HanPer-IDTJournal2013, author = {Han The Anh and Lu\'{\i}s Moniz Pereira}, title = {Context-dependent Incremental Decision Making Srutinizing Intentions of Others via Bayesian Network Model Construction}, journal = {Intelligent Decision Technologies (IDT)}, publisher = {IOS Press}, address = {http://www.iospress.nl/journal/intelligent-decision-technologies/}, volume = {7}, number = {4}, pages = {293-317}, issn = {1872-4981}, note = {doi:10.3233/IDT-130170}, url = {http://centria.di.fct.unl.pt/~lmp/publications/online-papers/IR_incremental_context.pdf}, abstract = {Decision making about which are the scrutinized intentions of others, usually called intention reading or intention recognition, is an elementary basic decision making process required as a basis for other higher level decision making, such as the intention-based decision making which we have set forth in previous work. We present herein a recognition method possessing several features desirable of an elementary process. The several aspects of the method have been experimentally evaluated in applications and achieving definite success, using the Linux plan corpus and the so-called IPD plan corpora, which are playing sequences generated by game playing strategies needing to be recognized, in the iterated Prisoner’s Dilemma. One other application concerns variations of Elder Care in the context of Ambient Intelligence.}, keywords = {Intention Recognition, Bayesian Net- work Combination, Plan Corpora, Logic Program- ming, Evolutionary Game Theory, Elder Care}, year = {2013}, }
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