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ThinkMind // ACHI 2015, The Eighth International Conference on Advances in Computer-Human Interactions // View article achi_2015_6_10_20028
Human-Machine Cooperation in General Game Playing
 Authors:
Maciej Świechowski
Kathryn Merrick
Jacek Mańdziuk
Hussein Abbass Keywords: human-machine study; human-machine cooperation; General Game Playing; Monte Carlo Tree Search Abstract:
This paper presents a framework for cooperation between a human and a general game playing agent. Cooperation is defined as two entities causing each other to modify their behaviour to achieve some mutual advantage. Such human-computer cooperation has the potential to offer insights that can help us improve the performance of artificial agents, as well as improving the performance of humans during certain kinds of strategic interactions. This paper focuses specifically on game playing as a form of strategic interaction. By proposing a framework for cooperation between a human and a general game playing agent, our aim is to create a flexible system that may be applicable to cooperation in other kinds of problem solving and strategic interactions in the future. We evaluate the framework presented in this paper by means of a human study. We observe humans playing games with and without the cooperation of a general game playing agent. We present experimental results of the pilot study as well as proposed changes in the experiment. These changes aim to verify the hypothesis that human-machine cooperation within our framework can indeed lead to mutual advantage. Pages: 96 to 100 Copyright: Copyright (c) IARIA, 2015 Publication date: February 22, 2015 Published in: conference ISSN: 2308-4138 ISBN: 978-1-61208-382-7 Location: Lisbon, Portugal Dates: from February 22, 2015 to February 27, 2015
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