SATO Takashi

J-GLOBAL         Last updated: Jul 2, 2019 at 16:15
 
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Name
SATO Takashi
Affiliation
National Institute of Technology, Okinawa College
Section
Department of Media Information Engineering
Job title
Associate Professor

Research Areas

 
 

Academic & Professional Experience

 
Dec 2014
 - 
Mar 2018
Adviser for Educational Cooperation, JAIST
 
Dec 2014
 - 
Mar 2018
Visiting Associate Professor for Educational Cooperation, JAIST
 

Awards & Honors

 
Feb 2018
Excellent Paper Award, Applied Science and Computer Science Publications(ASCSPub.)
 
Feb 2018
Best of the Best Paper Award, Applied Science and Computer Science Publications(ASCSPub.)
Winner: Akira Masumi and Takashi Sato,
 

Published Papers

 
Emergence of robust cooperative states by Iterative internalizations of opponents' personalized values in minority game
Takashi Sato
Journal of Information and Communication Engineering (JICE)   3(5) 157-166   Dec 2017   [Refereed]
Analyzing the advantages of utilizing state representationsin in a probabilistic reversal learning task
Akira Masumi, Takashi Sato
Journal of Information and Communication Engineering (JICE)   3(5) 142-147   Dec 2017   [Refereed]
A comparative study on the performances of Q-learning and neural Q-learning agents toward analysis of emergence of communication
Takashi Sato, Fumiko Shirasaki
Journal of Information and Communication Engineering (JICE)   2(4) 128-135   Dec 2016   [Refereed]
Emergence of proto-communication using action primitives symbolized in recurrent Q-learning agents
Takashi Sato
Journal of Information and Communication Engineering (JICE)   2(2) 87-93   Feb 2016   [Refereed]
Takashi Sato
Journal of Artificial Life and Robotics   17(2) 306-311   Dec 2012   [Refereed]
Takashi Sato
Journal of Artificial Life and Robotics   16(4) 493-496   Feb 2012   [Refereed]
Takashi Sato、Eiji Uchibe、Kenji Doya
Journal of Artificial Life and Robotics   12(1-2) 70-74   Apr 2008   [Refereed]
Dynamic social simulation with multi-agents having internal dynamics
New Frontiers in Artificial Intelligence JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003, Kanazawa, Japan, May 31-June 4, 2004, Revised Selected Papers   237-251   Apr 2007   [Refereed]
Structure design of neural networks using genetic algorithm
Satoshi Mizuta、Takashi Sato、Demelo Lao、Masami Ikeda、Toshio Shimizu
Complex Systems   13(2) 161-175   2001   [Refereed]

Books etc

 
Recent Advances in Modelling and Simulation
SATO Takashi (Part:Joint Work, Evolutionary constructive approach for studying dynamic complex systems, pp.120-125 in 111-136.)
Jun 2008   

Conference Activities & Talks

 
Investigating a learning strategy in a probabilistic reversal learning task
Akira Masumi, Takashi Sato
Conference on Complex Systems 2018(CCS2018)   Sep 2018   
Analyzing superiorities of utilizing state representations in a probabilistic reversal learning task
Akira Masumi, Takashi Sato
International Conference on Intelligent Informatics and BioMedical Sciences (ICIIBMS 2017) 論集   Nov 2017   
Emergence of robust cooperative states by iterative internalizations of opponents' personalized values in minority game
Takashi Sato
International Conference on Intelligent Informatics and BioMedical Sciences (ICIIBMS 2017) 論集   Nov 2017   
Impacts of state representations in reinforcement learning model on a probabilistic reversal task(ポスター発表)
Akira Masumi, Takashi Sato
The 27th Annual Conference of the Japanese Neural Network Society (JNNS2017)   Sep 2017   
Symbolization of action primitives in recurrent-Q learning agents playing a collision avoidance game
Takashi Sato
The 21st Internatinal Symposium on Artificial Life and Robotics (AROB 21st 2016) 論文集(CD-ROM)   Jan 2016   
Stabilization and emergence of rule dynamics in a multi-group multi-game
Takashi Sato
7th International Workshop on Natural Computing   Mar 2013   
Dynamics of rules internalized in dynamic cognitive agents playing a multi-game
Takashi Sato
The 17th International Symposium on Artificial Life and Robotics(AROB2012)論文集(CD-ROM)   Jan 2012   
Effect of interaction between rules on rule dynamics in a multi-group minority game
Takashi Sato
The 16th International Symposium on Artificial Life and Robotics(AROB2011)論文集(CD-ROM)   Jan 2011   
Learning how, what, and whether to communicate: emergence of protocommunication in reinforcement learning agents
Takashi Sato、Eiji Uchibe、Kenji Doya
The 12th International Symposium on Artificial Life and Robotics(AROB2007)論文集(CD-ROM)   Jan 2007   
Models of individuals for constructive approach to dynamic view of language and society
Takashi Hashimoto、 Takashi Sato、 Akira Masumi
The 10th International Symposium on Artificial Life and Robotics(AROB2005)論文集(CD-ROM)   Jan 2005   
Internal dynamics and multi-agent simulation
Takashi Sato、Takashi Hashimoto
The 34th Annual Conference of the International Simulation and Gaming Association (ISAGA)   Aug 2003