The concept of interdependence is undoubtedly a fascinating topic in the fields of social psychology and group dynamics. Extensive literature has highlighted the importance of mutual relationships between individuals in a group for the emergence of interdependence, whether positive (individuals have common ideas and/or goals) or negative (conflicting objectives between group members). In this work, we investigate the emergence of positive interdependence in a Two-Agent System, i.e., a simplified version of a Multi-Agent System. Specifically, two mobile robots must accomplish a social foraging task. We considered a simpler case with a single food item in the environment and a more complex scenario in which the agents must choose between two identical food items. Our results reveal that interdependence emerges in both scenarios, although the latter experimental setting introduces a collective decision-making process. Furthermore, the analysis of behavioral strategies shows the existence of multiple complex dynamics, in which individuals cooperate to achieve group success.

Conceptualizing Evolving Interdependence in Groups: Insights From the Analysis of Two-Agent Systems / Pagliuca, Paolo; Favia, Martina; Livi, Stefano; Vitanza, Alessandra. - (2025), pp. 1-6. ( 21st Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2025 ita ) [10.1109/dcoss-iot65416.2025.00126].

Conceptualizing Evolving Interdependence in Groups: Insights From the Analysis of Two-Agent Systems

Livi, Stefano;
2025

Abstract

The concept of interdependence is undoubtedly a fascinating topic in the fields of social psychology and group dynamics. Extensive literature has highlighted the importance of mutual relationships between individuals in a group for the emergence of interdependence, whether positive (individuals have common ideas and/or goals) or negative (conflicting objectives between group members). In this work, we investigate the emergence of positive interdependence in a Two-Agent System, i.e., a simplified version of a Multi-Agent System. Specifically, two mobile robots must accomplish a social foraging task. We considered a simpler case with a single food item in the environment and a more complex scenario in which the agents must choose between two identical food items. Our results reveal that interdependence emerges in both scenarios, although the latter experimental setting introduces a collective decision-making process. Furthermore, the analysis of behavioral strategies shows the existence of multiple complex dynamics, in which individuals cooperate to achieve group success.
2025
21st Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2025
Collective Decision-Making; Evolutionary Robotics; Group dynamics; Interdependence; Multi-Agent Systems
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Conceptualizing Evolving Interdependence in Groups: Insights From the Analysis of Two-Agent Systems / Pagliuca, Paolo; Favia, Martina; Livi, Stefano; Vitanza, Alessandra. - (2025), pp. 1-6. ( 21st Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2025 ita ) [10.1109/dcoss-iot65416.2025.00126].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1750944
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