Motivations for MADbot: a Motivated and Goal Directed Robot

Alexandra Coddington

Motivations for MADbot: a Motivated and Goal Directed Robot

Computer And Information Sciences

Research output: Contribution to conference › Proceeding › peer-review

Abstract

This paper presents the MADbot architecture which enables a motivated autonomous agent to generate goals in response to changes in its underlying drives or motivations, while it is both planning and executing. We use a Mars rover domain to illustrate the workings of this architecture and describe two ways of modelling motivations and goal generation: the first decouples the model of motivations and goal generation from the workings of an AI planner; the second models motivations and goal generation implicitly in the planner’s domain model. We discuss the advantages and disadvantages of each approach and offer ideas for further work.

Original language	English
Pages	39-46
Number of pages	8
Publication status	Published - 15 Dec 2006
Event	25th Workshop of the UK Planning and Scheduling Special Interest Group - Nottingham, United Kingdom Duration: 14 Dec 2006 → 15 Dec 2006

Conference

Conference	25th Workshop of the UK Planning and Scheduling Special Interest Group
Abbreviated title	PlanSIG 2006
Country/Territory	United Kingdom
City	Nottingham
Period	14/12/06 → 15/12/06

Keywords

MADbot
modelling motivations
goal generation

Access to Document

https://people.cs.nott.ac.uk/pszrq/PlanSIG/program.htm

Cite this

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title = "Motivations for MADbot: a Motivated and Goal Directed Robot",

abstract = "This paper presents the MADbot architecture which enables a motivated autonomous agent to generate goals in response to changes in its underlying drives or motivations, while it is both planning and executing. We use a Mars rover domain to illustrate the workings of this architecture and describe two ways of modelling motivations and goal generation: the first decouples the model of motivations and goal generation from the workings of an AI planner; the second models motivations and goal generation implicitly in the planner{\textquoteright}s domain model. We discuss the advantages and disadvantages of each approach and offer ideas for further work.",

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year = "2006",

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AB - This paper presents the MADbot architecture which enables a motivated autonomous agent to generate goals in response to changes in its underlying drives or motivations, while it is both planning and executing. We use a Mars rover domain to illustrate the workings of this architecture and describe two ways of modelling motivations and goal generation: the first decouples the model of motivations and goal generation from the workings of an AI planner; the second models motivations and goal generation implicitly in the planner’s domain model. We discuss the advantages and disadvantages of each approach and offer ideas for further work.

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KW - modelling motivations

KW - goal generation

M3 - Proceeding

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EP - 46

Y2 - 14 December 2006 through 15 December 2006

ER -

Motivations for MADbot: a Motivated and Goal Directed Robot

Abstract

Conference

Keywords

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Cite this