Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Agents dealing with norms and regulations
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-4138-937X
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-5103-8127
2023 (English)In: Multi-agent-based simulation XXIII: 23rd International Workshop, MABS 2022, virtual event, May 8-9, 2022: Revised selected papers / [ed] Fabian Lorig; Emma Norling, Springer Science+Business Media B.V., 2023, p. 134-146Conference paper, Published paper (Refereed)
Abstract [en]

Norms influence behaviour in many ways. In situations such as the COVID-19 pandemic where the effect of policies on the spread of the virus is evaluated, this leads to disputes about their effectiveness. In order to build agent-based social simulations that give proper support for this evaluation process we need agents that properly deal with norms. In this paper we present a new agent deliberation architecture that takes more aspects of norms into account than traditional architectures have done. Dealing properly with norms means that agents can reason through the consequences of the norms, that they are used to motivate and not just constrain behaviour, and that the agents can violate the norm as well. For the former we use the ideas of perspectives on norms, while the latter is enabled through the use of values. Within our architecture we can also represent habitual behaviour, context sensitive planning, and through the use of landmarks, reactive planning. We use the example of a restaurant-size based restriction to show how our architecture works.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2023. p. 134-146
Series
Lecture notes in artificial intelligence, ISSN 03029743, E-ISSN 16113349 ; 13743
Keywords [en]
Needs, Normative reasoning, Social simulation, Values
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-205476DOI: 10.1007/978-3-031-22947-3_11ISI: 000972616600011Scopus ID: 2-s2.0-85148692509ISBN: 9783031229466 (print)ISBN: 978-3-031-22947-3 (electronic)OAI: oai:DiVA.org:umu-205476DiVA, id: diva2:1744083
Conference
23rd International Workshop on Multi-Agent-Based Simulation, MABS 2022, collocated with the International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2022, virtual event, May 8-9, 2022.
Available from: 2023-03-17 Created: 2023-03-17 Last updated: 2025-03-10Bibliographically approved
In thesis
1. Modeling norms for social simulations: increasing realism in social simulations to support decision makers in their decision making
Open this publication in new window or tab >>Modeling norms for social simulations: increasing realism in social simulations to support decision makers in their decision making
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Modellerings normer för sociala simuleringar : öka realism i sociala simuleringar för att stödja beslutsfattare i deras beslutsfattande
Abstract [en]

It is very challenging for policymakers and other decision makers to make any kind of decision on a new policy, as the reaction of a person to that policy (policy as one form of a norm) in a given situation is highly individual and based on their own subjective perspective. This becomes even more challenging in environments with a high degree of uncertainty (as is usually the case for policymakers).

Social simulations are a powerful tool for policymakers and other decision makers to support them in their decision-making process. To build agent-based social simulations that provide this support two main challenges exist: norm (policy) realistic behavior and the usability of the simulation.

Norm realistic behavior includes differentiated norm engagement as well as seeing norms as more than just restrictions on behavior. Situated norm engagement means that people react differently to norms and focus only on the parts that are relevant for them. Seeing norms as more than just restrictions on behavior means that people can also violate norms and be motivated to circumvent norms. To address these two parts, we formalize different perspectives on norms and develop a novel agent deliberation architecture, called the Perspective-Based Agent Deliberation Architecture (PBADA) that can represent different perspectives on norms. Another key element of our agent deliberation architecture is that norms are explicit objects.

Having norms as explicit objects is crucial for addressing the challenge of usability of the simulation. It allows policymakers to modify them interactively in the simulation. In general, we see usability as empowering the policy maker to use the simulation in a - for them - meaningful way. Policymakers need to understand how a norm (policy) is influencing the behavior of the agents and in what way. Furthermore, policymakers need to be able to modify existing norms and add new ones on the fly. This requires interaction tools and visualization capabilities necessary to support them in this process. To address this challenge, we present preliminary work on such an interaction tool. 

Place, publisher, year, edition, pages
Umeå: Umeå University, 2025. p. 204
Series
Report / UMINF, ISSN 0348-0542 ; 25.02
Keywords
Social simulation, Agents, Social Rules, Norms, Policies, Policy Support, Interaction, Modeling, Normative Reasoning, Values, Needs, Motives, User Support, Agent Deliberation
National Category
Artificial Intelligence
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-236182 (URN)978-91-8070-601-8 (ISBN)978-91-8070-602-5 (ISBN)
Public defence
2025-04-04, MIT.A.121, MIT-Huset, Umeå, 09:00 (English)
Opponent
Supervisors
Available from: 2025-03-14 Created: 2025-03-06 Last updated: 2025-04-02Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Kammler, ChristianMellema, ReneDignum, Frank

Search in DiVA

By author/editor
Kammler, ChristianMellema, ReneDignum, Frank
By organisation
Department of Computing Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 437 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf