GRUE : an architecture for agents in games and other real-time environments
This thesis presents an architecture, which we call GRUE, for intelligent agents in real-time dynamic worlds. Such environments require agents to be able to flexibly adjust their behaviour to take into account changes in the environment or other agents’ actions. Our architecture is based on work don...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2005
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| Online Access: | https://eprints.nottingham.ac.uk/28736/ |
| _version_ | 1848793633329774592 |
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| author | Gordon, Elizabeth Sara |
| author_facet | Gordon, Elizabeth Sara |
| author_sort | Gordon, Elizabeth Sara |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This thesis presents an architecture, which we call GRUE, for intelligent agents in real-time dynamic worlds. Such environments require agents to be able to flexibly adjust their behaviour to take into account changes in the environment or other agents’ actions. Our architecture is based on work done in robotics (Nilsson, 1994; Benson and Nilsson, 1995; Benson, 1996), which also deals with complex, dynamic environments. Our work focuses on goal arbitration, the method used by the agent to choose an appropriate goal for the current situation, and to re-evaluate when the situation changes. In the process, we have also developed a method for representing items in the environment, which we call resources, in terms of their properties. This allows the agent to specify a needed object in terms of required properties and use available objects with appropriate properties interchangeably.
We show that the GRUE architecture can be used successfully in both a typical AI test bed and a commercial game environment. In addition, we have undertaken to experimentally test the effects of the features included in our architecture by comparing agents using the standard GRUE architecture to agents with one or more features removed and find that these features do improve the performance of the agent where expected. |
| first_indexed | 2025-11-14T19:03:24Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-28736 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T19:03:24Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-287362025-02-28T11:34:23Z https://eprints.nottingham.ac.uk/28736/ GRUE : an architecture for agents in games and other real-time environments Gordon, Elizabeth Sara This thesis presents an architecture, which we call GRUE, for intelligent agents in real-time dynamic worlds. Such environments require agents to be able to flexibly adjust their behaviour to take into account changes in the environment or other agents’ actions. Our architecture is based on work done in robotics (Nilsson, 1994; Benson and Nilsson, 1995; Benson, 1996), which also deals with complex, dynamic environments. Our work focuses on goal arbitration, the method used by the agent to choose an appropriate goal for the current situation, and to re-evaluate when the situation changes. In the process, we have also developed a method for representing items in the environment, which we call resources, in terms of their properties. This allows the agent to specify a needed object in terms of required properties and use available objects with appropriate properties interchangeably. We show that the GRUE architecture can be used successfully in both a typical AI test bed and a commercial game environment. In addition, we have undertaken to experimentally test the effects of the features included in our architecture by comparing agents using the standard GRUE architecture to agents with one or more features removed and find that these features do improve the performance of the agent where expected. 2005-07-14 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/28736/1/elizabeth_gordon_thesis.pdf Gordon, Elizabeth Sara (2005) GRUE : an architecture for agents in games and other real-time environments. PhD thesis, University of Nottingham. |
| spellingShingle | Gordon, Elizabeth Sara GRUE : an architecture for agents in games and other real-time environments |
| title | GRUE : an architecture for agents in games and other real-time environments |
| title_full | GRUE : an architecture for agents in games and other real-time environments |
| title_fullStr | GRUE : an architecture for agents in games and other real-time environments |
| title_full_unstemmed | GRUE : an architecture for agents in games and other real-time environments |
| title_short | GRUE : an architecture for agents in games and other real-time environments |
| title_sort | grue : an architecture for agents in games and other real-time environments |
| url | https://eprints.nottingham.ac.uk/28736/ |