Theoretical and experimental results on the goal-plan tree problem

Berndt Muller; R. Bordoni; P.H. Shaw

Theoretical and experimental results on the goal-plan tree problem

Berndt Muller, R. Bordoni, P.H. Shaw

Faculty of Computing, Engineering and Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Agents programmed in BDI-inspired languages have goals to achieve and a library of plans that can be used to achieve them, typically requiring further goals to be adopted. This is most naturally represented by a structure that has been called a Goal-Plan Tree. One of the uses of such structure is in agent deliberation (in particular, deciding whether to commit to achieving a certain goal or not). This paper presents new experimental results combining various types of goal-plan tree reasoning from the literature.

Original language	English
Title of host publication	N/A
Number of pages	4
Publication status	Published - 1 Jan 2008
Event	7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), - Location unknown - please update Duration: 1 Jan 2008 → 1 Jan 2008

Conference

Conference	7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008),
Period	1/01/08 → 1/01/08

Keywords

ai
intelligent agents
petri nets

Cite this

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title = "Theoretical and experimental results on the goal-plan tree problem",

abstract = "Agents programmed in BDI-inspired languages have goals to achieve and a library of plans that can be used to achieve them, typically requiring further goals to be adopted. This is most naturally represented by a structure that has been called a Goal-Plan Tree. One of the uses of such structure is in agent deliberation (in particular, deciding whether to commit to achieving a certain goal or not). This paper presents new experimental results combining various types of goal-plan tree reasoning from the literature.",

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author = "Berndt Muller and R. Bordoni and P.H. Shaw",

year = "2008",

month = jan,

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note = " 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), ; Conference date: 01-01-2008 Through 01-01-2008",

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AU - Shaw, P.H.

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N2 - Agents programmed in BDI-inspired languages have goals to achieve and a library of plans that can be used to achieve them, typically requiring further goals to be adopted. This is most naturally represented by a structure that has been called a Goal-Plan Tree. One of the uses of such structure is in agent deliberation (in particular, deciding whether to commit to achieving a certain goal or not). This paper presents new experimental results combining various types of goal-plan tree reasoning from the literature.

AB - Agents programmed in BDI-inspired languages have goals to achieve and a library of plans that can be used to achieve them, typically requiring further goals to be adopted. This is most naturally represented by a structure that has been called a Goal-Plan Tree. One of the uses of such structure is in agent deliberation (in particular, deciding whether to commit to achieving a certain goal or not). This paper presents new experimental results combining various types of goal-plan tree reasoning from the literature.

KW - ai

KW - intelligent agents

KW - petri nets

M3 - Conference contribution

BT - N/A

T2 - 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008),

Y2 - 1 January 2008 through 1 January 2008

ER -