10 Behavioral learning game for socio-physical IoT connections

Collection with item attached
2016
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/473397.do
DOI
10.1186/s13638-016-0521-8
Title
10 Behavioral learning game for socio-physical IoT connections
Description
This research was supported by the MSIP (Ministry of Science, ICT andFuture Planning), Korea, under the ITRC (Information Technology ResearchCenter) support program (IITP-2015-H8501-15-1018) supervised by the IITP(Institute for Information & Communications Technology Promotion) andwas supported by Basic Science Research Program through the NationalResearch Foundation of Korea (NRF) funded by the Ministry of Education(NRF-2015R1D1A1A01060835).
abstract
Game theory is an innovative idea to understanding human behaviors from economics to political science. However, due to the bounded rationality of game players, game theory alone cannot fully explain human behavior and should complement other key concepts championed by the behavioral disciplines. This paper provides a foundation for decision-making process from the viewpoint of game theory and behavioral science approach. First, we develop a new behavioral learning game model to examine how bounded rationality is exhibited in the game player's cognitive capabilities. Second, we apply the developed game model to operate the socio-physical Internet of Things (IoT) system. Finally, we study how to effectively negotiate between players who, though interested in their own welfare, are also willing to consider other players in the IoT system. The main contribution of our work lies in the fact that we shed some new light on the interplay between the game player's selfishness and the public interest. We believe that our approach will open a new door to exploring the impact of social behavior on networking.
provenance
Made available in Cube on 2018-09-28T10:18:23Z (GMT). No. of bitstreams: 0
language
English
author
Kim, Sungwook
accessioned
2018-09-28T10:18:23Z
available
2018-09-28T10:18:23Z
issued
2016
citation
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
issn
1687-1499
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/473397.do
Funder
교육부
Funding Program
BK21플러스사업(0.5)
Project ID
1345258430
Jurisdiction
Rep.of Korea
Project Name
Creative Data Engineer Development for Big Data Appliances
rights
openAccess
subject
Behavioral learning game
Internet of Things
Bounded rationality
Behavioral learning equilibrium
Game theory
Socio-physical connections
type
article


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