Analyzing human decision making process with intention estimation using cooperative pattern task

Kota Itoda, Norifumi Watanabe, Yoshiyasu Takefuji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Realizing flexible cooperative group behavior of human and social robots or agents needs a mutual understanding of each intention or behaviors of participants. To understand cooperative intelligence in group behavior, we must clarify the decision-making process with intention estimation in multiple persons. Multi-people decision-making process have top-down intention sharing and bottom-up decision making based on the intention inference and amendment based on the each participants’ behavior. This study suggests the cooperative pattern task focusing on the selection process of others whom to be noticed and balancing process of each intention to achieve the shared purpose. In the 2D grid world of an abstract cooperative environment with restricted modal-ity of subjects, they communicate with each other in a nonverbal way and infer their intention based on their behavior to achieve the purpose. We analyzed the human subjects’ behavior and clarified their policy of behavior and concepts which assumed to be shared by each subject for preventing misunderstanding of each intention. Two main results were obtained through the experiment. First, optimal behavior based on the purpose in minimal steps prevent the misunderstanding of each intention. Second, the narrowing down the number of subjects who change their policy assumed to reduce the burden of intention inference.

Original languageEnglish
Title of host publicationArtificial General Intelligence - 10th International Conference, AGI 2017, Proceedings
EditorsTom Everitt, Ben Goertzel, Alexey Potapov
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783319637020
Publication statusPublished - 2017
Event10th International Conference on Artificial General Intelligence, AGI 2017 - Melbourne, Australia
Duration: 2017 Aug 152017 Aug 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10414 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th International Conference on Artificial General Intelligence, AGI 2017

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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