BOID*: Autonomous Goal Deliberation through Abduction

S. Pandžić; J.M. Broersen; H. Aarts

doi:10.5555/3535850.3535964

BOID*: Autonomous Goal Deliberation through Abduction

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

Abstract

The original BOID [5] is a cognitive architecture that unifies Belief, Obligation, Intention and Desire rules to calculate which actions should an agent undertake next. In the current paper, we adapt the original BOID with an aim to model autonomous agency. The new BOID* architecture is able to capture anticipation that we believe to be one of the hallmarks of autonomous agency. We focus on developing algorithms for anticipatory reasoning through a new BOID* goal deliberation component. The key method that BOID* introduces is abductive reasoning as a way to represent motivational attitudes, such as desires and obligations. As a result of deliberation via abduction, BOID* specifies intention revision procedures that connect motivational and informational attitudes. The BOID* is a part of the project to build autonomous AI models that make explicit the reasoning behind adopting future goals, prioritizing selected goals and forming intentions.

Original language	English
Title of host publication	AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems
Publisher	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages	1019-1027
ISBN (Electronic)	978-1-4503-9213-6
DOIs	https://doi.org/10.5555/3535850.3535964
Publication status	Published - 2022
Event	21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 - Auckland, Virtual, New Zealand Duration: 9 May 2022 → 13 May 2022

Publication series

Name	Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume	2
ISSN (Print)	1548-8403
ISSN (Electronic)	1558-2914

Conference

Conference	21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022
Country/Territory	New Zealand
City	Auckland, Virtual
Period	9/05/22 → 13/05/22

Bibliographical note

Funding Information:
Our work is supported by the Dutch Research Coucil (NWO) project Empowering Human Intentions through Artificial Intelligence.

Publisher Copyright:
© 2022 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved

Funding

Our work is supported by the Dutch Research Coucil (NWO) project Empowering Human Intentions through Artificial Intelligence.

Keywords

Abductive Reasoning
Agent Architecture
Anticipation
Autonomous Agents
Default Reasoning
Goal Deliberation
Intention

Access to Document

10.5555/3535850.3535964

p1019Final published version, 981 KBLicence: Taverne

Cite this

Pandžić, S., Broersen, J. M., & Aarts, H. (2022). BOID*: Autonomous Goal Deliberation through Abduction. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (pp. 1019-1027). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 2). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). https://doi.org/10.5555/3535850.3535964

Pandžić, S. ; Broersen, J.M. ; Aarts, H. / BOID* : Autonomous Goal Deliberation through Abduction. AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022. pp. 1019-1027 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

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abstract = "The original BOID [5] is a cognitive architecture that unifies Belief, Obligation, Intention and Desire rules to calculate which actions should an agent undertake next. In the current paper, we adapt the original BOID with an aim to model autonomous agency. The new BOID* architecture is able to capture anticipation that we believe to be one of the hallmarks of autonomous agency. We focus on developing algorithms for anticipatory reasoning through a new BOID* goal deliberation component. The key method that BOID* introduces is abductive reasoning as a way to represent motivational attitudes, such as desires and obligations. As a result of deliberation via abduction, BOID* specifies intention revision procedures that connect motivational and informational attitudes. The BOID* is a part of the project to build autonomous AI models that make explicit the reasoning behind adopting future goals, prioritizing selected goals and forming intentions.",

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language = "English",

series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",

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Pandžić, S , Broersen, JM & Aarts, H 2022, BOID*: Autonomous Goal Deliberation through Abduction. in AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 2, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1019-1027, 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, Virtual, New Zealand, 9/05/22. https://doi.org/10.5555/3535850.3535964

BOID*: Autonomous Goal Deliberation through Abduction. / Pandžić, S.; Broersen, J.M.; Aarts, H.
AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022. p. 1019-1027 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 2).

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

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PY - 2022

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N2 - The original BOID [5] is a cognitive architecture that unifies Belief, Obligation, Intention and Desire rules to calculate which actions should an agent undertake next. In the current paper, we adapt the original BOID with an aim to model autonomous agency. The new BOID* architecture is able to capture anticipation that we believe to be one of the hallmarks of autonomous agency. We focus on developing algorithms for anticipatory reasoning through a new BOID* goal deliberation component. The key method that BOID* introduces is abductive reasoning as a way to represent motivational attitudes, such as desires and obligations. As a result of deliberation via abduction, BOID* specifies intention revision procedures that connect motivational and informational attitudes. The BOID* is a part of the project to build autonomous AI models that make explicit the reasoning behind adopting future goals, prioritizing selected goals and forming intentions.

AB - The original BOID [5] is a cognitive architecture that unifies Belief, Obligation, Intention and Desire rules to calculate which actions should an agent undertake next. In the current paper, we adapt the original BOID with an aim to model autonomous agency. The new BOID* architecture is able to capture anticipation that we believe to be one of the hallmarks of autonomous agency. We focus on developing algorithms for anticipatory reasoning through a new BOID* goal deliberation component. The key method that BOID* introduces is abductive reasoning as a way to represent motivational attitudes, such as desires and obligations. As a result of deliberation via abduction, BOID* specifies intention revision procedures that connect motivational and informational attitudes. The BOID* is a part of the project to build autonomous AI models that make explicit the reasoning behind adopting future goals, prioritizing selected goals and forming intentions.

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KW - Intention

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Y2 - 9 May 2022 through 13 May 2022

ER -

Pandžić S , Broersen JM , Aarts H. BOID*: Autonomous Goal Deliberation through Abduction. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 2022. p. 1019-1027. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS). doi: 10.5555/3535850.3535964

BOID*: Autonomous Goal Deliberation through Abduction

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

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