Towards More Explicit Interaction Modelling in Agent-Based Simulation Using Affordance Schemata

Klügl, Franziska; Timpf, Sabine

doi:10.1007/978-3-030-87626-5_24

KI 2021: Advances in Artificial Intelligence

2021

DOI: 10.1007/978-3-030-87626-5_24

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Towards More Explicit Interaction Modelling in Agent-Based Simulation Using Affordance Schemata

Franziska Klügl

Sabine Timpf

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Cited by 3 publications

References 23 publications

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Signifiers for conveying and exploiting affordances: from human-computer interaction to multi-agent systems

Lemée,

Vachtsevanou,

Mayer

et al. 2024

Ann Math Artif Intell

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The ecological psychologist James J. Gibson defined the notion of affordances to refer to what action possibilities environments offer to animals. In this paper, we show how (artificial) agents can discover and exploit affordances in a Multi-Agent System (MAS) environment to achieve their goals. To indicate to agents what affordances are present in their environment and whether it is likely that these may help the agents to achieve their objectives, the environment may expose signifiers while taking into account the current situation of the environment and of the agent. On this basis, we define a Signifier Exposure Mechanism that is used by the environment to compute which signifiers should be exposed to agents in order to permit agents to only perceive information about affordances that are likely to be relevant to them, and thereby increase their interaction efficiency. If this is successful, agents can interact with partially observable environments more efficiently because the signifiers indicate the affordances they can exploit towards given purposes. Signifiers thereby facilitate the exploration and the exploitation of MAS environments. Implementations of signifiers and of the Signifier Exposure Mechanism are presented within the context of a Hypermedia Multi-Agent System, and the utility of this approach is presented through the development of a scenario.

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Signifiers for conveying and exploiting affordances: from human-computer interaction to multi-agent systems

Lemée,

Vachtsevanou,

Mayer

et al. 2024

Ann Math Artif Intell

View full text Add to dashboard Cite

show abstract

Flexible simulation of traffic with microservices, agents & REST

Jagutis

Russell

Collier

2023

International Journal of Parallel, Emergent and Distributed Sys

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COBAI : un modèle générique à base d’agents centré sur les contextes et les interactions pour la simulation de comportements

Beuret,

Foucherot,

Gentil

et al. 2024

Revue Ouverte d'Intelligence Artificielle

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Towards More Explicit Interaction Modelling in Agent-Based Simulation Using Affordance Schemata

Cited by 3 publications

References 23 publications

Signifiers for conveying and exploiting affordances: from human-computer interaction to multi-agent systems

Signifiers for conveying and exploiting affordances: from human-computer interaction to multi-agent systems

Flexible simulation of traffic with microservices, agents & REST

COBAI : un modèle générique à base d’agents centré sur les contextes et les interactions pour la simulation de comportements

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