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ON ADVANCED TEMPLATE-BASED INTERPRETATION AS APPLIED TO INTENTION RECOGNITION IN A STRATEGIC ENVIRONMENT
- Date Issued:
- 2007
- Abstract/Description:
- An area of study that has received much attention over the past few decades is simulations involving threat assessment in military scenarios. Recently, much research has emerged concerning the recognition of troop movements and formations in non-combat simulations. Additionally, there have been efforts towards the detection and assessment of various types of malicious intentions. One such work by Akridge addressed the issue of Strategic Intention Recognition, but fell short in the detection of tactics that it could not detect without somehow manipulating the environment. Therefore, the aim of this thesis is to address the problem of recognizing an opponent's intent in a strategic environment where the system can think ahead in time to see the agent's plan. To approach the problem, a structured form of knowledge called Template-Based Interpretation is borrowed from the work of others and enhanced to reason in a temporally dynamic simulation.
Title: | ON ADVANCED TEMPLATE-BASED INTERPRETATION AS APPLIED TO INTENTION RECOGNITION IN A STRATEGIC ENVIRONMENT. |
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Name(s): |
Akridge, Cameron, Author Gonzalez, Avelino, Committee Chair University of Central Florida, Degree Grantor |
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Type of Resource: | text | |
Date Issued: | 2007 | |
Publisher: | University of Central Florida | |
Language(s): | English | |
Abstract/Description: | An area of study that has received much attention over the past few decades is simulations involving threat assessment in military scenarios. Recently, much research has emerged concerning the recognition of troop movements and formations in non-combat simulations. Additionally, there have been efforts towards the detection and assessment of various types of malicious intentions. One such work by Akridge addressed the issue of Strategic Intention Recognition, but fell short in the detection of tactics that it could not detect without somehow manipulating the environment. Therefore, the aim of this thesis is to address the problem of recognizing an opponent's intent in a strategic environment where the system can think ahead in time to see the agent's plan. To approach the problem, a structured form of knowledge called Template-Based Interpretation is borrowed from the work of others and enhanced to reason in a temporally dynamic simulation. | |
Identifier: | CFE0001517 (IID), ucf:47146 (fedora) | |
Note(s): |
2007-05-01 M.S.Cp.E. Engineering and Computer Science, School of Electrical Engineering and Computer Science Masters This record was generated from author submitted information. |
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Subject(s): |
Artificial Intelligence AI Intention Intention Recognition Plan Recognition Chess Strategic |
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Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFE0001517 | |
Restrictions on Access: | public | |
Host Institution: | UCF |