Agent-based model
View article: Data-Calibrated and Temporally-Verified Agent-Based Model of Dignity and Collective Identity Dynamics (IAM Model v3.0)).
Data-Calibrated and Temporally-Verified Agent-Based Model of Dignity and Collective Identity Dynamics (IAM Model v3.0)). Open
Final Theory: Data-Calibrated and Temporally-Verified Agent-Based Model (IAM Model v3.0) 📑 Enhanced Executive Summary The Interacting Agent Model v3.0 (IAM Model v3.0) is an advanced agent-based modeling framework designed to explain the d…
View article: Data-Calibrated and Temporally-Verified Agent-Based Model of Dignity and Collective Identity Dynamics (IAM Model v3.0)).
Data-Calibrated and Temporally-Verified Agent-Based Model of Dignity and Collective Identity Dynamics (IAM Model v3.0)). Open
Final Theory: Data-Calibrated and Temporally-Verified Agent-Based Model (IAM Model v3.0) 📑 Enhanced Executive Summary The Interacting Agent Model v3.0 (IAM Model v3.0) is an advanced agent-based modeling framework designed to explain the d…
View article: The impact of anticonformity on the diffusion of innovation -- insights from the q-voter model
The impact of anticonformity on the diffusion of innovation -- insights from the q-voter model Open
Anticonformity, behaving in deliberate opposition to the group of influence, has long been recognized as a distinct social response, differing both from conformity and from independence. While often treated as a source of noise or contrari…
View article: The impact of anticonformity on the diffusion of innovation -- insights from the q-voter model
The impact of anticonformity on the diffusion of innovation -- insights from the q-voter model Open
Anticonformity, behaving in deliberate opposition to the group of influence, has long been recognized as a distinct social response, differing both from conformity and from independence. While often treated as a source of noise or contrari…
View article: Tool-RoCo: An Agent-as-Tool Self-organization Large Language Model Benchmark in Multi-robot Cooperation
Tool-RoCo: An Agent-as-Tool Self-organization Large Language Model Benchmark in Multi-robot Cooperation Open
This study proposes Tool-RoCo, a novel benchmark for evaluating large language models (LLMs) in long-term multi-agent cooperation based on RoCo, a multi-robot cooperative benchmark. Recent research on LLM-based multi-agent systems has reli…
View article: Tool-RoCo: An Agent-as-Tool Self-organization Large Language Model Benchmark in Multi-robot Cooperation
Tool-RoCo: An Agent-as-Tool Self-organization Large Language Model Benchmark in Multi-robot Cooperation Open
This study proposes Tool-RoCo, a novel benchmark for evaluating large language models (LLMs) in long-term multi-agent cooperation based on RoCo, a multi-robot cooperative benchmark. Recent research on LLM-based multi-agent systems has reli…
View article: Value-based large language model agent simulation for mutual evaluation of trust and interpersonal closeness
Value-based large language model agent simulation for mutual evaluation of trust and interpersonal closeness Open
Large language models (LLMs) have emerged as powerful tools for simulating complex social phenomena using human-like agents with specific traits. In human societies, value similarity is important for building trust and close relationships;…
View article: Evolutionary Game Analysis for Regional Collaborative Supply Chain Innovation Under Geospatial Restructuring
Evolutionary Game Analysis for Regional Collaborative Supply Chain Innovation Under Geospatial Restructuring Open
Regional economic diversity and unevenly allocated space-based resources have created unprecedented difficulties for collaborative and innovative supply chain construction. This paper sets up a tripartite evolutionary model of the governme…
View article: Green Resilience of Cyber-Physical Systems: Doctoral Dissertation
Green Resilience of Cyber-Physical Systems: Doctoral Dissertation Open
Cyber-physical systems (CPS) combine computational and physical components. Online Collaborative AI System (OL-CAIS) is a type of CPS that learn online in collaboration with humans to achieve a common goal, which makes it vulnerable to dis…
View article: Green Resilience of Cyber-Physical Systems: Doctoral Dissertation
Green Resilience of Cyber-Physical Systems: Doctoral Dissertation Open
Cyber-physical systems (CPS) combine computational and physical components. Online Collaborative AI System (OL-CAIS) is a type of CPS that learn online in collaboration with humans to achieve a common goal, which makes it vulnerable to dis…
View article: What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity
What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity Open
AI research agents offer the promise to accelerate scientific progress by automating the design, implementation, and training of machine learning models. However, the field is still in its infancy, and the key factors driving the success o…
View article: What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity
What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity Open
AI research agents offer the promise to accelerate scientific progress by automating the design, implementation, and training of machine learning models. However, the field is still in its infancy, and the key factors driving the success o…
View article: Multiregional Model of the Economy With Limited Expectations of Economic Agents
Multiregional Model of the Economy With Limited Expectations of Economic Agents Open
The article analyzes the behavior of economic agents with bounded rationality in a multiregional New Keynesian model in which the technological sovereignty of the national economy (macroregion) entails that resources imported from individu…
View article: RS0136/Anxiety_Index: v1.0.0 – Initial public release of the 3-layer Markov-blanket anxiety model
RS0136/Anxiety_Index: v1.0.0 – Initial public release of the 3-layer Markov-blanket anxiety model Open
Overview This is the initial public release of the simulation and analysis code accompanying the preprint "An Active Inference Model of Anxiety in a Three-Layer Markov-Blanket Architecture". The repository implements a three-layer Markov-b…
View article: RS0136/Anxiety_Index: v1.0.0 – Initial public release of the 3-layer Markov-blanket anxiety model
RS0136/Anxiety_Index: v1.0.0 – Initial public release of the 3-layer Markov-blanket anxiety model Open
Overview This is the initial public release of the simulation and analysis code accompanying the preprint "An Active Inference Model of Anxiety in a Three-Layer Markov-Blanket Architecture". The repository implements a three-layer Markov-b…
View article: Models for active particles: common features and differences
Models for active particles: common features and differences Open
Systems of active particles can show a large variety of collective behavior. In theory, two aspects determine the collective behavior: the model at the particle level and the parameter regime. While many studies consider a single model and…
View article: Beyond Accuracy: Behavioral Dynamics of Agentic Multi-Hunk Repair
Beyond Accuracy: Behavioral Dynamics of Agentic Multi-Hunk Repair Open
Automated program repair has traditionally focused on single-hunk defects, overlooking multi-hunk bugs that are prevalent in real-world systems. Repairing these bugs requires coordinated edits across multiple, disjoint code regions, posing…
View article: Models for active particles: common features and differences
Models for active particles: common features and differences Open
Systems of active particles can show a large variety of collective behavior. In theory, two aspects determine the collective behavior: the model at the particle level and the parameter regime. While many studies consider a single model and…
View article: Beyond Accuracy: Behavioral Dynamics of Agentic Multi-Hunk Repair
Beyond Accuracy: Behavioral Dynamics of Agentic Multi-Hunk Repair Open
Automated program repair has traditionally focused on single-hunk defects, overlooking multi-hunk bugs that are prevalent in real-world systems. Repairing these bugs requires coordinated edits across multiple, disjoint code regions, posing…
View article: Graph-based epidemic modeling of West Nile Virus: Forecasting and containment
Graph-based epidemic modeling of West Nile Virus: Forecasting and containment Open
The increasing prevalence of vector-borne diseases like West Nile virus (WNV) highlights the critical need for predictive modeling tools that can guide public health decision-making, particularly given the absence of effective vaccines. We…
View article: A Vision-Language Model Agent for building code compliance
A Vision-Language Model Agent for building code compliance Open
View article: MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding
MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding Open
As Multi Agent Reinforcement Learning systems are used in safety critical applications. Understanding why agents make decisions and how they achieve collective behavior is crucial. Existing explainable AI methods struggle in multi agent se…
View article: MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding
MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding Open
As Multi Agent Reinforcement Learning systems are used in safety critical applications. Understanding why agents make decisions and how they achieve collective behavior is crucial. Existing explainable AI methods struggle in multi agent se…
View article: A Generalizable, Data-Driven Agent-Based Transport Simulation Framework: Towards Land Use and Transport Interaction Models in Brazil
A Generalizable, Data-Driven Agent-Based Transport Simulation Framework: Towards Land Use and Transport Interaction Models in Brazil Open
Agent-based models (ABMs) in transport represent a paradigm shift from traditional aggregate and equilibrium-based approaches. By modeling individual behaviors of a heterogeneous population, an ABM offers a more realistic representation of…
View article: Emergence from Emergence: Financial Market Simulation via Learning with Heterogeneous Preferences
Emergence from Emergence: Financial Market Simulation via Learning with Heterogeneous Preferences Open
Agent-based models help explain stock price dynamics as emergent phenomena driven by interacting investors. In this modeling tradition, investor behavior has typically been captured by two distinct mechanisms -- learning and heterogeneous …
View article: Self-Interest and Systemic Benefits: Emergence of Collective Rationality in Mixed Autonomy Traffic Through Deep Reinforcement Learning
Self-Interest and Systemic Benefits: Emergence of Collective Rationality in Mixed Autonomy Traffic Through Deep Reinforcement Learning Open
Autonomous vehicles (AVs) are expected to be commercially available in the near future, leading to mixed autonomy traffic consisting of both AVs and human-driven vehicles (HVs). Although numerous studies have shown that AVs can be deployed…
View article: Emergence from Emergence: Financial Market Simulation via Learning with Heterogeneous Preferences
Emergence from Emergence: Financial Market Simulation via Learning with Heterogeneous Preferences Open
Agent-based models help explain stock price dynamics as emergent phenomena driven by interacting investors. In this modeling tradition, investor behavior has typically been captured by two distinct mechanisms -- learning and heterogeneous …
View article: Self-Interest and Systemic Benefits: Emergence of Collective Rationality in Mixed Autonomy Traffic Through Deep Reinforcement Learning
Self-Interest and Systemic Benefits: Emergence of Collective Rationality in Mixed Autonomy Traffic Through Deep Reinforcement Learning Open
Autonomous vehicles (AVs) are expected to be commercially available in the near future, leading to mixed autonomy traffic consisting of both AVs and human-driven vehicles (HVs). Although numerous studies have shown that AVs can be deployed…
View article: Davini Collective Coherence (DCC) — Real-Time Validation of Micro-to-Macro Zero-Contradiction Dynamics
Davini Collective Coherence (DCC) — Real-Time Validation of Micro-to-Macro Zero-Contradiction Dynamics Open
This restricted archive contains the complete datasets, code, and analysis outputs from the Davini Collective Coherence (DCC) validation runs, demonstrating that collective systems — from avian murmurations to neural, AI, and astrophysical…
View article: Davini Collective Coherence (DCC) — Real-Time Validation of Micro-to-Macro Zero-Contradiction Dynamics
Davini Collective Coherence (DCC) — Real-Time Validation of Micro-to-Macro Zero-Contradiction Dynamics Open
This restricted archive contains the complete datasets, code, and analysis outputs from the Davini Collective Coherence (DCC) validation runs, demonstrating that collective systems — from avian murmurations to neural, AI, and astrophysical…