Updating Action Descriptions and Plans for Cognitive Agents

Rafael C. Cardoso

Updating Action Descriptions and Plans for Cognitive Agents

Rafael C. Cardoso^* (Corresponding Author)

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abstract

In this paper we present an extension of Belief-Desire-Intention agents which can adapt their performance in response to changes in their environment. Specifically we consider situations in which the agent’s actions no longer perform as anticipated by the programmers who created the agent’s plans. Our agents maintain explicit descriptions of the expected behaviour of their actions, are able to track action performance, learn new action descriptions and patch affected plans at runtime. Our main contributions are the underlying theoretical mechanisms for data collection about action performance, the synthesis of new action descriptions from this data and the integration with plan reconfiguration. The mechanisms are supported by a practical implementation to validate the
semantics.

Original language	English
Title of host publication	n Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent S
Place of Publication	London
Publisher	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Number of pages	2
Publication status	Accepted/In press - 3 Jan 2023
Event	22nd International Conference on Autonomous Agents and Multiagent Systems - London ExCeL conference centre, London, United Kingdom Duration: 29 May 2023 → 2 Jun 2023 https://aamas2023.soton.ac.uk/

Conference

Conference	22nd International Conference on Autonomous Agents and Multiagent Systems
Abbreviated title	AAMAS 2023
Country/Territory	United Kingdom
City	London
Period	29/05/23 → 2/06/23
Internet address	https://aamas2023.soton.ac.uk/

Keywords

Beliefs-Desires-Intentions
Action Descriptions
AI planning

Cite this

Updating Action Descriptions and Plans for Cognitive Agents. / Cardoso, Rafael C. (Corresponding Author).

n Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent S. London : International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2023.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

@inproceedings{1ba066172c414ffc9db8e83a7d03ebad,

title = "Updating Action Descriptions and Plans for Cognitive Agents",

abstract = "In this paper we present an extension of Belief-Desire-Intention agents which can adapt their performance in response to changes in their environment. Specifically we consider situations in which the agent{\textquoteright}s actions no longer perform as anticipated by the programmers who created the agent{\textquoteright}s plans. Our agents maintain explicit descriptions of the expected behaviour of their actions, are able to track action performance, learn new action descriptions and patch affected plans at runtime. Our main contributions are the underlying theoretical mechanisms for data collection about action performance, the synthesis of new action descriptions from this data and the integration with plan reconfiguration. The mechanisms are supported by a practical implementation to validate thesemantics.",

keywords = "Beliefs-Desires-Intentions, Action Descriptions, AI planning",

author = "Cardoso, {Rafael C.}",

note = "Extended Abstract and Poster Presentation; 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 ; Conference date: 29-05-2023 Through 02-06-2023",

year = "2023",

month = jan,

day = "3",

language = "English",

booktitle = "n Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent S",

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AU - Cardoso, Rafael C.

N1 - Extended Abstract and Poster Presentation

PY - 2023/1/3

Y1 - 2023/1/3

N2 - In this paper we present an extension of Belief-Desire-Intention agents which can adapt their performance in response to changes in their environment. Specifically we consider situations in which the agent’s actions no longer perform as anticipated by the programmers who created the agent’s plans. Our agents maintain explicit descriptions of the expected behaviour of their actions, are able to track action performance, learn new action descriptions and patch affected plans at runtime. Our main contributions are the underlying theoretical mechanisms for data collection about action performance, the synthesis of new action descriptions from this data and the integration with plan reconfiguration. The mechanisms are supported by a practical implementation to validate thesemantics.

AB - In this paper we present an extension of Belief-Desire-Intention agents which can adapt their performance in response to changes in their environment. Specifically we consider situations in which the agent’s actions no longer perform as anticipated by the programmers who created the agent’s plans. Our agents maintain explicit descriptions of the expected behaviour of their actions, are able to track action performance, learn new action descriptions and patch affected plans at runtime. Our main contributions are the underlying theoretical mechanisms for data collection about action performance, the synthesis of new action descriptions from this data and the integration with plan reconfiguration. The mechanisms are supported by a practical implementation to validate thesemantics.

KW - Beliefs-Desires-Intentions

KW - Action Descriptions

KW - AI planning

M3 - Published conference contribution

BT - n Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent S

PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

CY - London

T2 - 22nd International Conference on Autonomous Agents and Multiagent Systems

Y2 - 29 May 2023 through 2 June 2023

ER -

Updating Action Descriptions and Plans for Cognitive Agents

Abstract

Conference

Keywords

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