Modeling Decisions for Artificial Intelligence: 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings

256 Pages·2014·7.55 MB·English

by  Vicenç Torra, Yasuo Narukawa, Yasunori Endo (eds.)

Vicenç Torra
Yasuo Narukawa
Yasunori Endo (Eds.)
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2 Modeling Decisions
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A for Artificial Intelligence
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11th International Conference, MDAI 2014
Tokyo, Japan, October 29–31, 2014
Proceedings
123
Lecture Notes in Artificial Intelligence 8825
Subseries of Lecture Notes in Computer Science
LNAISeriesEditors
RandyGoebel
UniversityofAlberta,Edmonton,Canada
YuzuruTanaka
HokkaidoUniversity,Sapporo,Japan
WolfgangWahlster
DFKIandSaarlandUniversity,Saarbrücken,Germany
LNAIFoundingSeriesEditor
JoergSiekmann
DFKIandSaarlandUniversity,Saarbrücken,Germany
Vicenç Torra Yasuo Narukawa
Yasunori Endo (Eds.)
Modeling Decisions
forArtificial Intelligence
11th International Conference, MDAI 2014
Tokyo, Japan, October 29-31, 2014
Proceedings
1 3
VolumeEditors
VicençTorra
IIIA-CSIC
Bellaterra,Catalonia,Spain
E-mail:[email protected];[email protected]
YasuoNarukawa
TohoGakuen
Tokyo,Japan,
E-mail:[email protected]
YasunoriEndo
UniversityofTsukuba
Tsukuba,Japan
E-mail:[email protected]
ISSN0302-9743 e-ISSN1611-3349
ISBN978-3-319-12053-9 e-ISBN978-3-319-12054-6
DOI10.1007/978-3-319-12054-6
SpringerChamHeidelbergNewYorkDordrechtLondon
LibraryofCongressControlNumber:2014949874
LNCSSublibrary:SL7–ArtificialIntelligence
©SpringerInternationalPublishingSwitzerland2014
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Preface
This volume contains papers presented at the 11th International Conference on
ModelingDecisionsforArtificialIntelligence(MDAI2014),heldinTokyo,Japan,
October 29–31. This conference followed MDAI 2004 (Barcelona, Catalonia),
MDAI2005(Tsukuba,Japan),MDAI 2006(Tarragona,Catalonia),MDAI 2007
(Kitakyushu, Japan), MDAI 2008 (Sabadell, Catalonia), MDAI 2009 (Awaji
Island,Japan),MDAI 2010(Perpinya`,France),MDAI 2011(Changsha,China),
MDAI 2012 (Girona, Catalonia), and MDAI 2013 (Barcelona, Catalonia) with
proceedings also published in the LNAI series (Vols. 3131, 3558, 3885, 4617,
5285, 5861, 6408, 6820, 7647, 8234).
The aim of this conference was to provide a forum for researchers to discuss
theory and tools for modeling decisions, as well as applications that encompass
decision making processes and information fusion techniques.
The organizers received 38 papers from 16 different countries, from Europe,
Asia, and America, 19 of which are published in this volume. Each submission
received at least two reviews from the Program Committee and a few external
reviewers. We would like to express our gratitude to them for their work. The
plenary talks presented at the conference are also included in this volume.
TheconferencewassupportedbytheJapanSocietyforFuzzyTheoryandIn-
telligent Informatics (SOFT), the Catalan Association for Artificial Intelligence
(ACIA),theEuropeanSocietyforFuzzyLogicandTechnology(EUSFLAT),the
UNESCOChairinDataPrivacy,theSpanishMINECO(TIN2011-15580-E),and
the Spanish MEC (ARES - CONSOLIDER INGENIO 2010 CSD2007-00004).
July 2014 Vicen¸c Torra
Yasuo Narukawa
Yasunori Endo
Organization
Modeling Decisions for Artificial Intelligence – MDAI 2014
General Chairs
Yasunori Endo University of Tsukuba, Japan
Program Chairs
Vicenc¸ Torra IIIA-CSIC, Catalonia, Spain
Yasuo Narukawa Toho Gakuen, Japan
Advisory Board
Bernadette Bouchon-Meunier ComputerScienceLaboratoryoftheUniversity
Paris 6 (LiP6), CNRS, France
Didier Dubois Institut de Recherche en Informatique de
Toulouse (IRIT), CNRS, France
Lluis Godo IIIA-CSIC, Spain
Kaoru Hirota Tokyo Institute of Technology, Japan
Janusz Kacprzyk Systems ResearchInstitute, PolishAcademy of
Sciences, Poland
Sadaaki Miyamoto University of Tsukuba, Japan
Michio Sugeno European Centre for Soft Computing, Spain
Ronald R. Yager Machine Intelligence Institute, Iona College,
USA
Program Committee
Gleb Beliakov Deakin University, Australia
Gloria Bordogna Consiglio Nazionale delle Ricerche, Italia
Tomasa Calvo Universidad Alcala de Henares, Spain
Susana D´ıaz Universidad de Oviedo, Spain
Josep Domingo-Ferrer Universitat Rovira i Virgili, Spain
Jozo Dujmovic San Francisco State University, USA
Katsushige Fujimoto Fukushima University, Japan
Michel Grabisch Universit´e Paris I Panth´eon-Sorbonne,France
Enrique Herrera-Viedma Universidad de Granada, Spain
Aoi Honda Kyushu Institute of Technology, Japan
VIII Organization
Masahiro Inuiguchi Osaka University, Japan
Xinwang Liu Southeast University, China
Jun Long National University of Defense Technology,
China
Jean-Luc Marichal University of Luxembourg, Luxembourg
Radko Mesiar Slovak University of Technology, Slovakia
Tetsuya Murai Hokkaido University, Japan
Toshiaki Murofushi Tokyo Institute of Technology, Japan
Guillermo Navarro-Arribas Universitat Aut`onoma de Barcelona,
Spain
Michael Ng Hong Kong Baptist University, Chaina
Gabriella Pasi Universit`a di Milano Bicocca, Italy
Susanne Saminger-Platz Jihannes Kepler University, Austria
Sandra Sandri Instituto Nacional de Pesquisas Espaciais,
Brasil
Roman S(cid:3)lowin´ski Poznan University of Technology, Poland
L´aszl´o Szil´agyi Sapientia-HungarianScience University of
Transylvania, Hungary
Aida Valls Universitat Rovira i Virgili, Spain
Vilem Vychodil Palacky University, Czech Republic
Zeshui Xu Southeast University, China
Yuji Yoshida University of Kitakyushu, Japan
Local Organizing Committee Chair
Kenichi Yoshida University of Tsukuba, Japan
Kazuhiko Tsuda University of Tsukuba, Japan
Additional Referees
Roger Jard´ı-Ced´o, Malik Imran Daud, Sara Hajian, Montserrat Batet, Yuchi
Kanzawa
Supporting Institutions
University of Tsukuba
The Catalan Association for Artificial Intelligence (ACIA)
The European Society for Fuzzy Logic and Technology (EUSFLAT)
The Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
The UNESCO Chair in Data Privacy
The Spanish MEC (ARES - CONSOLIDER INGENIO 2010 CSD2007-00004)
Abstracts
Recursive Capacitary Kernel
Hiroyuki Ozaki
Faculty of Economics, Keio University
Abstract. We define a capacitary kernel as a function which maps a
current state to a capacity (a non-additive measure) which governs the
next period’s uncertainty.Wethen use acapacitary kerneltodefinethe
time-consistent recursive objective function for a dynamic optimization
problem.Weimposeanddiscussassumptionsonthecapacitarykernelfor
thisobjectivefunctiontobewell-defined.Wealsoprovidesomedecision-
theoreticfoundationofthisobjectivefunction.Furthermore,wedevelop
a dynamic programming technique to solve this optimization problem
byexploitingtherecursivestructureoftheobjectivefunctiondefinedby
therecursive capacitary kernel.
Framework of Entertainment Computing
and Its Applications
Junichi Hoshino
Universityof Tsukuba,Entertainment Computing Lab
[email protected]
EntertainmentComputingisoneofthepromisingapplicationdomainsofMDAI
(modeling decisions for artificial intelligence) field. In this talk, I’m going to
overviewthecollaborativecreationprocessofentertainmentusingrichexamples
including media art, physical exercise game, learning game, multi-agent Game
AI, and social information exchange on hobby.
We also show the examples of the entertainment systems using behavioral
and cognitive user modeling:
1) The Fighting Game Character Using Imitation Learning
One of the limitations of computer-based opponents in action games is that
the AI character is constructed in advance, and players quickly become bored
with their prepared tactics. We built an online coliseum in which a non-player
character (NPC) incrementally learns action sequences and combinations of ac-
tions,allowingtheNPCstoadoptdifferentfightingstrategiesafterfightingwith
differentplayers.Individualfightingstylescanbegeneratedfromauniquefight-
ing history. We developed a new action learning engine that automatically ana-
lyzestheactionsofahumanplayerandextractstheeffectivefightingsequences.
Actioncontroltreesaregeneratedautomaticallyandincrementallyaddedtothe
NPC’s action profile.
2) A Wellness Entertainment System using a Trampoline Interface
We describe the wellness entertainment system using a trampoline interface.
In this system, we use a mini trampoline as the input device. The system en-
ables the user to move and jump freely in VR space by exaggerated movement
corresponding to walking or jumping on the mini trampoline. Improvements in
exercise motivation and support for continuous exercise are achievedin our sys-
tem,sinceitispossibletoenjoystrollingthroughavirtualspace,whichisusually
difficult to experience, by exercising on the mini trampoline without injury to
the user’s joints.
3) Disaster Experience Game in a Real World
We describe a disaster experience game system which could instruct about
generalknowledgeandregionallyspecificdisasterriskinajoyfulway.Thesystem
does not give advice in a unilateral way; instead it helps the user, with an
accurate awareness of the real world and then shows the risk information e.g.,
preventionplansandevacuationmaps.Additionally,introducinggameelements,
the user plays with some level of interaction. Using this system, we created a
gameapplicationfor anearthquake.Anassessmentexperimentofthe gamewas
clearly beneficial to not only understand risk perception but support it; it also
has the motivation of a muster drill.