arXiv AI
Multi-Agent Empowerment and Emergence of Complex Behavior in Groups
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Emergent aggregation from collective foraging
arXiv:2608.28046v1 Announce Type: cross Abstract: Collective behaviour in living systems is usually modelled as the outcome of a \emph{direct} social drive: agents are rewarded, or hard-wired, to ali...
arXiv AI
Jul 8
When Assisting One Disempowers Another
arXiv:2511. 04177v2 Announce Type: replace Abstract: Personal AI agents are increasingly deployed in shared environments, where their actions affect not just the primary user they are assisting, but bystanders who never consented to being affected by the system.
arXiv AI
Jul 15
Unveiling Complex Collective Behaviors from Simple Rewards
arXiv:2607. 12861v1 Announce Type: cross Abstract: Multi-agent Reinforcement Learning (MARL) holds great potential for robot swarms, but the black-box nature of neural policies complicates strategic analysis, limiting multi-robot applications.
Hugging Face Trending Papers
Jul 14
Unveiling Complex Collective Behaviors from Simple Rewards
Multi-agent Reinforcement Learning (MARL) holds great potential for robot swarms, but the black-box nature of neural policies complicates strategic analysis, limiting multi-robot applications. Furthermore, complex swarm behaviors can surprisingly emerge from simple rewards without explicit aggregation incentives.
arXiv AI
Sep 16
Intrinsic Motivation in Reinforcement Learning: A Research Agenda for Adaptive Self-Organisation
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arXiv Computation and Language
Sep 23
Behavior is Not Enough: A Mechanism-Based Evaluation of Social Norm Emergence in LLM Societies
The paper argues that observing only behavior is insufficient to identify social norms in large language model (LLM) societies. It introduces an evaluation framework that also measures agents’ reported empirical and normative expectations, revealing that expectation elicitation boosts cooperation, social learning stabilizes behavior, and social selection identifies cooperators but offers limited reinforcement. The study shows that similar cooperative outcomes can stem from distinct underlying mechanisms and that expectations can be used to attribute each mechanism’s contribution.