A BDI agent programming language with failure handling, declarative goals, and planning
Agents are an important technology that have the potential to take over contemporary methods for analysing, designing, and implementing complex software. The Belief-Desire-Intention (BDI) agent paradigm has proven to be one of the major approaches to intelligent agent systems, both in academia and i...
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| Vydáno v: | Autonomous agents and multi-agent systems Ročník 23; číslo 1; s. 18 - 70 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Boston
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01.07.2011
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| ISSN: | 1387-2532, 1573-7454 |
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| Abstract | Agents are an important technology that have the potential to take over contemporary methods for analysing, designing, and implementing complex software. The Belief-Desire-Intention (BDI) agent paradigm has proven to be one of the major approaches to intelligent agent systems, both in academia and in industry. Typical BDI agent-oriented programming languages rely on user-provided “plan libraries” to achieve goals, and
online
context sensitive subgoal selection and expansion. These allow for the development of systems that are extremely flexible and responsive to the environment, and as a result, well suited for complex applications with (soft) real-time reasoning and control requirements. Nonetheless, complex decision making that goes beyond, but is compatible with, run-time context-dependent plan selection is one of the most natural and important next steps within this technology. In this paper we develop a typical BDI-style agent-oriented programming language that enhances usual BDI programming style with three distinguished features:
declarative goals
,
look-ahead planning
, and
failure handling
. First, an account that mixes both procedural and declarative aspects of goals is necessary in order to reason about important properties of goals and to decouple plans from what these plans are meant to achieve. Second, lookahead deliberation about the effects of one choice of expansion over another is clearly desirable or even mandatory in many circumstances so as to guarantee goal achievability and to avoid undesired situations. Finally, a failure handling mechanism, suitably integrated with both declarative goals and planning, is required in order to model an adequate level of commitment to goals, as well as to be consistent with most real BDI
implemented
systems. |
|---|---|
| AbstractList | Agents are an important technology that have the potential to take over contemporary methods for analysing, designing, and implementing complex software. The Belief-Desire-Intention (BDI) agent paradigm has proven to be one of the major approaches to intelligent agent systems, both in academia and in industry. Typical BDI agent-oriented programming languages rely on user-provided “plan libraries” to achieve goals, and
online
context sensitive subgoal selection and expansion. These allow for the development of systems that are extremely flexible and responsive to the environment, and as a result, well suited for complex applications with (soft) real-time reasoning and control requirements. Nonetheless, complex decision making that goes beyond, but is compatible with, run-time context-dependent plan selection is one of the most natural and important next steps within this technology. In this paper we develop a typical BDI-style agent-oriented programming language that enhances usual BDI programming style with three distinguished features:
declarative goals
,
look-ahead planning
, and
failure handling
. First, an account that mixes both procedural and declarative aspects of goals is necessary in order to reason about important properties of goals and to decouple plans from what these plans are meant to achieve. Second, lookahead deliberation about the effects of one choice of expansion over another is clearly desirable or even mandatory in many circumstances so as to guarantee goal achievability and to avoid undesired situations. Finally, a failure handling mechanism, suitably integrated with both declarative goals and planning, is required in order to model an adequate level of commitment to goals, as well as to be consistent with most real BDI
implemented
systems. |
| Author | Sardina, Sebastian Padgham, Lin |
| Author_xml | – sequence: 1 givenname: Sebastian surname: Sardina fullname: Sardina, Sebastian email: sebastian.sardina@rmit.edu.au organization: School of Computer Science and IT, RMIT University – sequence: 2 givenname: Lin surname: Padgham fullname: Padgham, Lin organization: School of Computer Science and IT, RMIT University |
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| Cites_doi | 10.1016/S0004-3702(98)00041-1 10.1145/1160633.1160813 10.1109/MIS.2005.20 10.1007/978-0-387-89299-3_2 10.1145/1160633.1160932 10.1016/j.jal.2005.12.014 10.1007/0-387-26350-0_2 10.1145/860575.860640 10.1007/11493402_1 10.1023/A:1026044009832 10.1016/S0004-3702(99)00005-3 10.1007/978-3-642-83189-8 10.1023/A:1021560510377 10.1007/978-3-540-30549-1_118 10.1007/BF02136175 10.1145/1329125.1329134 10.1016/0004-3702(90)90055-5 10.1007/s10458-008-9036-y 10.1145/860575.860592 10.1145/1082473.1082494 10.1145/1160633.1160938 10.1109/64.180407 10.1023/B:AGNT.0000019688.11109.19 10.1093/logcom/5.6.731 10.1007/978-3-540-45133-4_32 10.1023/B:AMAI.0000034527.45635.e5 10.1145/1160633.1160868 10.1145/1160633.1160867 10.1023/A:1010084620690 10.1613/jair.2158 10.1145/860575.860642 10.1080/09528139508953802 10.1145/367211.367250 10.1023/B:AMAI.0000031197.13122.aa |
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| Keywords | HTN planning Goal reasoning BDI agent-oriented programming |
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| PublicationTitle | Autonomous agents and multi-agent systems |
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