Volume 1, Issue 1, June 2014, Pages 27 - 32
A Decision Making System of Robots Introducing a Re-construction of Emotions Based on Their Own Experiences
Authors
Shogo Watada, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu
Corresponding Author
Masanao Obayashi
Available Online 30 June 2014.
- DOI
- 10.2991/jrnal.2014.1.1.6How to use a DOI?
- Keywords
- Emotion model, Decision-making, Optimization problem
- Abstract
We already proposed a decision making system for autonomous robots, which is based on a Markovian emotional model proposed by Banik. In our proposed system, decision making of the robot is designed automatically by two processes that are the construction of emotions and optimization of behavior selection policy for emotions. In this study, we introduce an experiences-based reconstruction of emotions to our decision making system as an approach to an automatic construction of decision making online learning.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Shogo Watada AU - Masanao Obayashi AU - Takashi Kuremoto AU - Shingo Mabu PY - 2014 DA - 2014/06/30 TI - A Decision Making System of Robots Introducing a Re-construction of Emotions Based on Their Own Experiences JO - Journal of Robotics, Networking and Artificial Life SP - 27 EP - 32 VL - 1 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2014.1.1.6 DO - 10.2991/jrnal.2014.1.1.6 ID - Watada2014 ER -