Tootfinder

Toward an Unbiased Collective Memory for Efficient LLM-Based Agentic 6G Cross-Domain Management
Hatim Chergui, Miguel Catalan Cid, Pouria Sayyad Khodashenas, Daniel Camps Mur, Christos Verikoukis
https://arxiv.org/abs/2509.26200

Toward an Unbiased Collective Memory for Efficient LLM-Based Agentic 6G Cross-Domain Management
This paper introduces a novel framework for proactive cross-domain resource orchestration in 6G RAN-Edge networks, featuring large language model (LLM)-augmented agents. The system comprises specialized RAN (energy efficiency) and Edge (latency assurance) agents that engage in iterative negotiation, supported by advanced reasoning and planning capabilities. Agents dynamically interact with a digital twin (DT) to test their proposals and leverage a long-term collective memory where their joint s…

ROBOPSY PL[AI]: Using Role-Play to Investigate how LLMs Present Collective Memory
Margarete Jahrmann, Thomas Brandstetter, Stefan Glasauer
https://arxiv.org/abs/2510.09874 https…

ROBOPSY PL[AI]: Using Role-Play to Investigate how LLMs Present Collective Memory
The paper presents the first results of an artistic research project investigating how Large Language Models (LLMs) curate and present collective memory. In a public installation exhibited during two months in Vienna in 2025, visitors could interact with five different LLMs (ChatGPT with GPT 4o and GPT 4o mini, Mistral Large, DeepSeek-Chat, and a locally run Llama 3.1 model), which were instructed to act as narrators, implementing a role-playing game revolving around the murder of Austrian phil…

Collective Memory in Contemporary Fiction Films
https://ift.tt/7BnhLWG
updated: Thursday, December 18, 2025 - 11:01pmfull name / name of organization: Karine Bertrand,…
via Input 4 RELCFP ht…

AgentZero : Modeling Fear-Based Behavior
Vrinda Malhotra, Jiaman Li, Nandini Pisupati
https://arxiv.org/abs/2510.05185 https://arxiv.org/pdf/2510.05185

AgentZero++: Modeling Fear-Based Behavior
We present AgentZero++, an agent-based model that integrates cognitive, emotional, and social mechanisms to simulate decentralized collective violence in spatially distributed systems. Building on Epstein's Agent\_Zero framework, we extend the original model with eight behavioral enhancements: age-based impulse control; memory-based risk estimation; affect-cognition coupling; endogenous destructive radius; fight-or-flight dynamics; affective homophily; retaliatory damage; and multi-agent coordi…