NDLI: Predicting the future state of the RoboCup simulation environment: heuristic and neural networks approaches

Content Provider	IEEE Xplore Digital Library
Author	Sharifi, M. Mousavian, H. Aavani, A.
Copyright Year	2003
Description	Author affiliation: Comput. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran (Sharifi, M.; Mousavian, H.; Aavani, A.)
Abstract	One of the challenges in multi-agent systems is the prediction of the future state of the environment. This is because the future behavior of each agent and its relationship with other agents in the environment must be predicted according to an appropriate agent model. Such a prediction about the future of the environment in a large state space, like the RoboCup simulation environment, in which most agents act on the basis of uncertain knowledge, is quite hard. Given the above context, a novel multi-agent game presentation and analysis tool has been developed. One of the agents in this tool is responsible for the prediction of individual and team behaviors. To overcome the problem of uncertain knowledge, the prediction is only made for the simulated commentator who needs to anticipate the player agent receiving the ball after a shoot by another player agent. The predictor agent has been implemented both heuristically and with neural networks. Using the logged data form RoboCup 2002 simulation league, as our test data, the neural network approach had a higher success rate of true predictions than our heuristic simulation.
Sponsorship	Syst., Man & Cybernetics Soc. IEEE
Starting Page	32
Ending Page	37
File Size	465267
Page Count	6
File Format	PDF
ISBN	0780379527
ISSN	1062922X
DOI	10.1109/ICSMC.2003.1243788
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Neural networks Multiagent systems State-space methods Analytical models Working environment noise Computational modeling Computer networks Testing Impedance
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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