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Changing perspectives: adaptable interpretations of norms for agents
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-5103-8127
Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8430-4241
2022 (English)In: Multi-Agent-Based Simulation XXII: 22nd International Workshop, MABS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers / [ed] Koen H. Van Dam; Nicolas Verstaevel, Springer, 2022, Vol. 13128 LNAI, p. 139-152Conference paper, Published paper (Refereed)
Abstract [en]

For agent-based social simulations to be a powerful tool for policy makers and other decision makers in a given context (e.g. the current COVID-19 pandemic), they need to be socially realistic and thus, appropriately represent complex social concepts, such as social rules. In this paper, we focus on norms. Norms describe ‘normal’ behavior and aim at assuring the interests and values of groups or the society as a whole. People react differently to norms, and focus only on the parts that are relevant for them. Furthermore, norms are not only restrictions on behavior, but also trigger new behavior. Seeing a norm only as a restriction on certain behavior misses important aspects and leads to simulations that can be very misleading. Different perspectives need to be incorporated into the simulation to capture the variety of ways different stakeholders react to a norm and how this affects their interaction. We therefore present an approach to include these different perspectives on norms, and their consequences for different people and groups in decision support simulations. A perspective is specified by their goals, actions, effects of those actions, priorities in values, and social affordances. Through modeling perspectives we enable policy makers and other decision makers (the users) to be active in the modeling process and to tailor the simulation to their specific needs, by representing norms as modifiable objects, and providing textual and graphical representations of norms. This provides them with differentiated insights meaningful for the decisions they are faced with. We indicate the requirements for both the simulation platform as well as the agents that follow from our approach. Early explorations of our social simulation are showing the necessity of our approach.

Place, publisher, year, edition, pages
Springer, 2022. Vol. 13128 LNAI, p. 139-152
Series
Lecture Notes in Computer Science, ISSN 1611-3349
Keywords [en]
Norms, Social rules, Social simulation
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-192517DOI: 10.1007/978-3-030-94548-0_11ISI: 001296307900011Scopus ID: 2-s2.0-85124118865ISBN: 978-3-030-94547-3 (print)ISBN: 978-3-030-94548-0 (electronic)OAI: oai:DiVA.org:umu-192517DiVA, id: diva2:1640294
Conference
22nd International Workshop on Multi-Agent-Based Simulation, MABS 2021, Virtual, Online, May 3-7, 2021.
Note

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 13128).

Available from: 2022-02-24 Created: 2022-02-24 Last updated: 2025-04-24Bibliographically 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

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Kammler, ChristianDignum, FrankLindgren, Helena

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