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Context-Awareness and Anticipation in a Tennis Video Game AI System
This paper is dedicated to the problem of using case-based reasoning AI in a commercial mobile game of lawn tennis. We discuss the unavoidable manual game analysis stage, aimed to represent user intentions accurately and supply them to the machine learning procedure. We show how the right combinatio...
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creator | Mozgovoy, Maxim |
description | This paper is dedicated to the problem of using case-based reasoning AI in a commercial mobile game of lawn tennis. We discuss the unavoidable manual game analysis stage, aimed to represent user intentions accurately and supply them to the machine learning procedure. We show how the right combination of machine learning and manual effort helps to construct a solid game AI system, able to play in human-like manner. Our experience shows that the key factor of the successful decision making and reasonable resource consumption in mobile tennis is careful representation of context-aware behavior and anticipation of opponents' actions, exhibited by real players. |
doi_str_mv | 10.1109/SMC.2018.00127 |
format | conference_proceeding |
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We discuss the unavoidable manual game analysis stage, aimed to represent user intentions accurately and supply them to the machine learning procedure. We show how the right combination of machine learning and manual effort helps to construct a solid game AI system, able to play in human-like manner. 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Our experience shows that the key factor of the successful decision making and reasonable resource consumption in mobile tennis is careful representation of context-aware behavior and anticipation of opponents' actions, exhibited by real players.</description><subject>case-based reasoning</subject><subject>Cognition</subject><subject>Decision making</subject><subject>game AI</subject><subject>Games</subject><subject>Land mobile radio</subject><subject>Machine learning</subject><subject>mobile tennis</subject><subject>Sports</subject><issn>2577-1655</issn><isbn>1538666502</isbn><isbn>9781538666500</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2018</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotzsFKw0AQgOFVEGyrVy9e9gUSZzbJ7OYYgtZCxUOr1zJJZmHFbEo3oH17BT39t49fqTuEHBHqh91LmxtAlwOgsRdqiVXhiKgCc6kWprI2Q6qqa7VM6QPAQIluodp2irN8z1nzxSeJkpLmOOgmzqEPR57DFHWImvVeYgxJv4dBJr3mUXSz0btzmmW8UVeeP5Pc_nel3p4e9-1ztn1db9pmmwW01ZwNnaeuIwHj-ffL1RYYCyrrnh1Z4sFbso7A-x7EDn1nBsTe-K4ue0DmYqXu_9wgIofjKYx8Oh8cIaEpih8K3Ujp</recordid><startdate>201810</startdate><enddate>201810</enddate><creator>Mozgovoy, Maxim</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201810</creationdate><title>Context-Awareness and Anticipation in a Tennis Video Game AI System</title><author>Mozgovoy, Maxim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-dbf6bb6e02fa6668970a13649ca8676adf767860ffc0e7dcb2d11c2fb94c01aa3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2018</creationdate><topic>case-based reasoning</topic><topic>Cognition</topic><topic>Decision making</topic><topic>game AI</topic><topic>Games</topic><topic>Land mobile radio</topic><topic>Machine learning</topic><topic>mobile tennis</topic><topic>Sports</topic><toplevel>online_resources</toplevel><creatorcontrib>Mozgovoy, Maxim</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mozgovoy, Maxim</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Context-Awareness and Anticipation in a Tennis Video Game AI System</atitle><btitle>2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)</btitle><stitle>SMC</stitle><date>2018-10</date><risdate>2018</risdate><spage>699</spage><epage>703</epage><pages>699-703</pages><eissn>2577-1655</eissn><eisbn>1538666502</eisbn><eisbn>9781538666500</eisbn><coden>IEEPAD</coden><abstract>This paper is dedicated to the problem of using case-based reasoning AI in a commercial mobile game of lawn tennis. We discuss the unavoidable manual game analysis stage, aimed to represent user intentions accurately and supply them to the machine learning procedure. We show how the right combination of machine learning and manual effort helps to construct a solid game AI system, able to play in human-like manner. Our experience shows that the key factor of the successful decision making and reasonable resource consumption in mobile tennis is careful representation of context-aware behavior and anticipation of opponents' actions, exhibited by real players.</abstract><pub>IEEE</pub><doi>10.1109/SMC.2018.00127</doi><tpages>5</tpages></addata></record> |
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ispartof | 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, p.699-703 |
issn | 2577-1655 |
language | eng |
recordid | cdi_ieee_primary_8616123 |
source | IEEE Xplore All Conference Series |
subjects | case-based reasoning Cognition Decision making game AI Games Land mobile radio Machine learning mobile tennis Sports |
title | Context-Awareness and Anticipation in a Tennis Video Game AI System |
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