Article | RobocCup-99 Team Descriptions. Simulation League | SP-United: Applying Last Action As Feedback For A.I. Agents

Title:
SP-United: Applying Last Action As Feedback For A.I. Agents
Author:
Ching Choo Voon: Singapore Polytechnic, Singapore Ching Siang Boo: Singapore Polytechnic, Singapore Danny Hong Tai Neo: Singapore Polytechnic, Singapore Liang Jie Wong: Singapore Polytechnic, Singapore
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Year:
1999
Conference:
RobocCup-99 Team Descriptions. Simulation League
Issue:
004
Article no.:
028
Pages:
129
No. of pages:
1
Publication type:
Abstract and Fulltext
Published:
1999-12-15
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
Linköping Electronic Articles in Computer and Information Science
ISSN (online):
1401-9841
Publisher:
Linköping University Electronic Press; Linköpings universitet


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This paper describes the use of a last action feedback loop to compliment the use of a decision tree in a reactive agent. It aims to create a team of reactive agents that is semi - goal orientated.

Computer programs; artificially intelligent or not; will generally display the characteristic of performing identical actions when given near identical situations. This is due to the lack of human intuition to generate the element of unpredictability. The simulator league is also similar. A client in the simulator league no matter how advanced has to make decisions based on its creators source codes. Since the span of the source codes is usually very general it limits the flexibility of the client player. Hence if we could provide identical situations to the client we would almost be sure that it would react identically. This would be true; especially if its last action was successful. Therefore; if we could just remember this last action taken by the enemy and the condition under which it happened we could exploit this weakness and use it to our advantage.

RobocCup-99 Team Descriptions. Simulation League

Author:
Ching Choo Voon, Ching Siang Boo, Danny Hong Tai Neo, Liang Jie Wong
Title:
SP-United: Applying Last Action As Feedback For A.I. Agents
References:
No references available

RobocCup-99 Team Descriptions. Simulation League

Author:
Ching Choo Voon, Ching Siang Boo, Danny Hong Tai Neo, Liang Jie Wong
Title:
SP-United: Applying Last Action As Feedback For A.I. Agents
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