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Modeling application scenarios for responsible autonomy using computational transcendence

Modeling application scenarios for responsible autonomy using computational transcendence
Modeling application scenarios for responsible autonomy using computational transcendence

With the prevalence of autonomous agents which should act responsibly, multiple computational models of responsible autonomy have been proposed. We explore the use of one such model called Computational Transcendence (CT) which is based on modeling an elastic sense of self as a means for emerging responsible autonomy. We discuss how this model can be applied to realistic applications. The first application is on decision-making in multi-agent supply chains, and the second is on adaptive signalling in a road network. In both these applications, we compare CT with several baseline models and find improvement across multiple application-specific metrics. Through this paper, we aim to foster increased research interest in computational transcendence, as a means for architecting responsible multi-agent autonomy for different real-world applications.

Autonomy, Ethics, Identity, Multi-agent Systems, Responsible AI
2496-2498
International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Deshmukh, Jayati
5903b0c1-b4d1-4fbf-b687-610d4fde3990
Adivi, Nikitha
0a646cac-e2ae-4764-86ba-1bd66bb51258
Srinivasa, Srinath
b4e35d32-beae-4c6e-a4f8-3ee56e75d648
Deshmukh, Jayati
5903b0c1-b4d1-4fbf-b687-610d4fde3990
Adivi, Nikitha
0a646cac-e2ae-4764-86ba-1bd66bb51258
Srinivasa, Srinath
b4e35d32-beae-4c6e-a4f8-3ee56e75d648

Deshmukh, Jayati, Adivi, Nikitha and Srinivasa, Srinath (2023) Modeling application scenarios for responsible autonomy using computational transcendence. In AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). pp. 2496-2498 .

Record type: Conference or Workshop Item (Paper)

Abstract

With the prevalence of autonomous agents which should act responsibly, multiple computational models of responsible autonomy have been proposed. We explore the use of one such model called Computational Transcendence (CT) which is based on modeling an elastic sense of self as a means for emerging responsible autonomy. We discuss how this model can be applied to realistic applications. The first application is on decision-making in multi-agent supply chains, and the second is on adaptive signalling in a road network. In both these applications, we compare CT with several baseline models and find improvement across multiple application-specific metrics. Through this paper, we aim to foster increased research interest in computational transcendence, as a means for architecting responsible multi-agent autonomy for different real-world applications.

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More information

Published date: 30 May 2023
Venue - Dates: 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, , London, United Kingdom, 2023-05-29 - 2023-06-02
Keywords: Autonomy, Ethics, Identity, Multi-agent Systems, Responsible AI

Identifiers

Local EPrints ID: 492743
URI: http://eprints.soton.ac.uk/id/eprint/492743
PURE UUID: be2a83df-0918-4019-a4f3-88b3b4bb20f2
ORCID for Jayati Deshmukh: ORCID iD orcid.org/0000-0002-1144-2635

Catalogue record

Date deposited: 13 Aug 2024 16:45
Last modified: 14 Aug 2024 02:10

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Contributors

Author: Jayati Deshmukh ORCID iD
Author: Nikitha Adivi
Author: Srinath Srinivasa

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