Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations

arXiv:2609.26927 · cs.AI, cs.CY, cs.GT, cs.HC, cs.MA · Submitted 2026-09-22 · Read on arXiv

cs.AI, cs.CY, cs.GT, cs.HC, cs.MA

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/dberga/AGIMUD

Terminology

• Large Language Model — 14× in this paper
• Core — 12× in this paper · explained in 2 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Multi-Agent System — 7× in this paper · explained in 6 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Multi-Agent Systems — 6× in this paper
• Simulated World Module — 6× in this paper
• Theory of Mind — 6× in this paper
• Hallucination — 5× in this paper · explained in 4 episodes
• Cooperation — 4× in this paper · explained in 2 episodes
• Institutional Analysis and Development — 4× in this paper
• Accuracy — 3× in this paper · explained in 1 episode
• Agentic AI — 3× in this paper · explained in 1 episode
• Grounding — 3× in this paper · explained in 3 episodes
• Perplexity — 3× in this paper · explained in 3 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Agent Interactions — 2× in this paper · explained in 1 episode
• Catastrophic Forgetting — 2× in this paper · explained in 5 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Multimodal Learning — 2× in this paper · explained in 2 episodes
• Natural Language Understanding — 2× in this paper
• Quantization — 2× in this paper · explained in 12 episodes
• Shapley values — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• AI Agents — 1× in this paper · explained in 2 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Affective Computing — 1× in this paper · explained in 1 episode
• Agent-based Models — 1× in this paper
• Agentic Artificial Intelligence — 1× in this paper · explained in 1 episode
• Agentic Reasoning — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Emotional Resonance — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hierarchical Classification — 1× in this paper · explained in 2 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Protocol for Network Address Translator — 1× in this paper
• RAG — 1× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Session Traversal Utilities for NAT — 1× in this paper
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Theory of Mind (ToM) — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• Temporal Referential Consistency: Do LLMs Favor Sequences Over Absolute Time References?
• From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
• Sparks of Artificial General Intelligence: Early experiments with GPT-4
• The Llama 3 Herd of Models
• Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
• Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks
• Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• OASIS: Open Agent Social Interaction Simulations with One Million Agents
• AgentScope: A Flexible yet Robust Multi-Agent Platform
• AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
• Beyond Self-Interest: Modeling Social-Oriented Motivation for Human-like Multi-Agent Interactions
• RogueAI: A Reverse Turing Test for Detecting Licensed AI Deception in Dialogue
• Forensic Implications of Localized AI: Artifact Analysis of Ollama, LM Studio, and llama.cpp
• MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
• Multimodal Alignment and Fusion: A Survey
• The Hive Mind is a Single Reinforcement Learning Agent
• HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems
• The Society of HiveMind: Multi-Agent Optimization of Foundation Model Swarms to Unlock the Potential of Collective Intelligence
• A Survey on Hypergame Theory: Modelling Misaligned Perceptions and Nested Beliefs for Multi-Agent Systems

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