Show simple item record

dc.contributor.authorJavaid, Misbah
dc.contributor.authorEstivill-Castro, Vladimir
dc.contributor.authorHexel, Rene
dc.date.accessioned2019-10-21T05:46:41Z
dc.date.available2019-10-21T05:46:41Z
dc.date.issued2019
dc.identifier.isbn9783030298937
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-030-29894-4_27
dc.identifier.urihttp://hdl.handle.net/10072/388584
dc.description.abstractTo investigate, how a Robot’s communication ability in terms of explanations can cultivate better trust relationships between a Robot and it’s human teammates. We opted a partial information game-playing environment, to immerse interaction between humans and a Robotic Agent. We designed our Robotic Agent as a Knowledge-Based (KB) Robotic Agent that does not play perfectly, but plays with significant expertise and approximates well enough by updating it’s belief all the time in a partially observable environment. We developed the explanation-generation mechanism on top of the game that generates meaningful explanations for the strategy of a game at a level that the human teammates appreciate and understand. The generated explanations adapt according to the game situation that can increase human’s overall understanding of the task domain. We evaluated the individual effectiveness of our KB Robotic Agent, by developing a Case Study with the partial information game Domino. In a computational experiment, our KB Robotic Agent played 10,000 game matches with other agents and exhibited a reasonable winning rate. With this victory proportion, we can conclude that our KB Robotic Agent captured and analysed all available information intelligently and forecast the possible moves of the opponents correctly.
dc.description.peerreviewedYes
dc.publisherSpringer International Publishing
dc.relation.ispartofconferencename16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019)
dc.relation.ispartofconferencetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartofdatefrom2019-08-26
dc.relation.ispartofdateto2019-08-30
dc.relation.ispartoflocationCuvu, Fiji
dc.relation.ispartofpagefrom322
dc.relation.ispartofpageto336
dc.relation.ispartofvolume11672
dc.subject.fieldofresearchComputer-Human Interaction
dc.subject.fieldofresearchAdaptive Agents and Intelligent Robotics
dc.subject.fieldofresearchcode080602
dc.subject.fieldofresearchcode080101
dc.titleKnowledge-Based Robotic Agent as a Game Player
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationJavaid, M; Estivill-Castro, V; Hexel, R, Knowledge-Based Robotic Agent as a Game Player, 2019, pp. 322-336
dc.date.updated2019-10-21T05:20:50Z
gro.hasfulltextNo Full Text
gro.griffith.authorHexel, Rene
gro.griffith.authorEstivill-Castro, Vladimir
gro.griffith.authorJavaid, Misbah


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Conference outputs
    Contains papers delivered by Griffith authors at national and international conferences.

Show simple item record