Modeling and exploiting behavior patterns in dynamic environments
Ball, David & Wyeth, Gordon (2004) Modeling and exploiting behavior patterns in dynamic environments. In 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sendai, Japan, p. 1371.
This paper presents a new approach to improving the effectiveness of autonomous systems that deal with dynamic environments. The basis of the approach is to find repeating patterns of behavior in the dynamic elements of the system, and then to use predictions of the repeating elements to better plan goal directed behavior. It is a layered approach involving classifying, modeling, predicting and exploiting. Classifying involves using observations to place the moving elements into previously defined classes. Modeling involves recording features of the behavior on a coarse grained grid. Exploitation is achieved by integrating predictions from the model into the behavior selection module to improve the utility of the robot's actions. This is in contrast to typical approaches that use the model to select between different strategies or plays. Three methods of adaptation to the dynamic features of the environment are explored. The effectiveness of each method is determined using statistical tests over a number of repeated experiments. The work is presented in the context of predicting opponent behavior in the highly dynamic and multi-agent robot soccer domain (RoboCup).
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|Item Type:||Conference Paper|
|Keywords:||intelligent robots, learning (artificial intelligence) , mobile robots, multi-robot systems statistical analysis , statistical analysis|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)|
|Deposited On:||24 Jun 2010 09:53|
|Last Modified:||10 Aug 2011 23:07|
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