Programming deliberation strategies in meta-APL
A key advantage of BDI-based agent programming is that agents can deliberate about which course of action to adopt to achieve a goal or respond to an event. However, while state-of-the-art BDI-based agent programming languages provide flexible support for expressing plans, they are typically limited...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
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2015
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| Online Access: | https://eprints.nottingham.ac.uk/31017/ |
| _version_ | 1848794110482186240 |
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| author | Leask, Sam Logan, Brian |
| author_facet | Leask, Sam Logan, Brian |
| author_sort | Leask, Sam |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | A key advantage of BDI-based agent programming is that agents can deliberate about which course of action to adopt to achieve a goal or respond to an event. However, while state-of-the-art BDI-based agent programming languages provide flexible support for expressing plans, they are typically limited to a single, hard-coded, deliberation strategy (perhaps with some parameterisation) for all task environments. In this paper, we present an alternative approach. We show how both agent programs and the agent’s deliberation strategy can be encoded in the agent programming language meta-APL. Key steps in the execution cycle of meta-APL are reflected in the state of the agent and can be queried and updated by meta-APL rules, allowing BDI deliberation strategies to be programmed with ease. To illustrate the flexibility of meta-APL, we show how three typical BDI deliberation strategies can be programmed using meta-APL rules. We then show how meta-APL can used to program a novel adaptive deliberation strategy that avoids interference between intentions. |
| first_indexed | 2025-11-14T19:10:59Z |
| format | Conference or Workshop Item |
| id | nottingham-31017 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:10:59Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-310172020-05-04T20:11:17Z https://eprints.nottingham.ac.uk/31017/ Programming deliberation strategies in meta-APL Leask, Sam Logan, Brian A key advantage of BDI-based agent programming is that agents can deliberate about which course of action to adopt to achieve a goal or respond to an event. However, while state-of-the-art BDI-based agent programming languages provide flexible support for expressing plans, they are typically limited to a single, hard-coded, deliberation strategy (perhaps with some parameterisation) for all task environments. In this paper, we present an alternative approach. We show how both agent programs and the agent’s deliberation strategy can be encoded in the agent programming language meta-APL. Key steps in the execution cycle of meta-APL are reflected in the state of the agent and can be queried and updated by meta-APL rules, allowing BDI deliberation strategies to be programmed with ease. To illustrate the flexibility of meta-APL, we show how three typical BDI deliberation strategies can be programmed using meta-APL rules. We then show how meta-APL can used to program a novel adaptive deliberation strategy that avoids interference between intentions. 2015 Conference or Workshop Item PeerReviewed Leask, Sam and Logan, Brian (2015) Programming deliberation strategies in meta-APL. In: PRIMA 2015, 26-30 Oct 2015, University Residential Centre of Bertinoro (Ce.U.B.), Italy. agents agent based programming languages bdi deliberation multiagent systems |
| spellingShingle | agents agent based programming languages bdi deliberation multiagent systems Leask, Sam Logan, Brian Programming deliberation strategies in meta-APL |
| title | Programming deliberation strategies in meta-APL |
| title_full | Programming deliberation strategies in meta-APL |
| title_fullStr | Programming deliberation strategies in meta-APL |
| title_full_unstemmed | Programming deliberation strategies in meta-APL |
| title_short | Programming deliberation strategies in meta-APL |
| title_sort | programming deliberation strategies in meta-apl |
| topic | agents agent based programming languages bdi deliberation multiagent systems |
| url | https://eprints.nottingham.ac.uk/31017/ |