agentic-behavioral-modeling-abm

name

agentic-behavioral-modeling-abm

description

Agentic Behavioral Modeling (ABM) — treating artificial agents as autonomous decision-making entities with goal-directed behavior. Framework for modeling agents as rational actors with internal state representations. Use when: building agent-based simulations, modeling goal-directed behavior, analyzing autonomous decision-making systems, creating behavioral models for AI agents. Triggers: agent behavioral model, goal-directed agent, autonomous agent modeling, rational actor framework, agent-based simulation.

On Agentic Behavioral Modeling

Paper: arXiv:2604.27894 (May 2026, Dirk Ostwald et al.)

Core Framework

Agentic Behavioral Modeling treats artificial agents as autonomous decision-making entities with:

1. Goal-directed behavior — actions driven by internal objectives
2. State representations — internal models of environment and self
3. Behavioral policies — mappings from states to actions
4. Autonomous adaptation — self-modification of policies based on experience

Key Principles

• Agents modeled as rational actors operating in partially observable environments
• Behavioral patterns emerge from interaction between goals, beliefs, and constraints
• Framework bridges computational neuroscience and AI agent design

Applications

• Multi-agent simulation
• AI safety analysis
• Behavioral economics modeling
• Cognitive architecture design

Activation Keywords

• agentic behavioral modeling
• autonomous agent framework
• goal-directed behavior
• agent-based simulation
• rational actor model
• behavioral agent design