v0.3.0 - Agent Archetype

Planned: Late 2025

Overview

Major feature release introducing agent modeling capabilities based on George Mobus's agent archetype theory, enabling bottom-up systems analysis to complement BERT's top-down approach.

Planned Features

Agent Modeling

• Agent Archetype Implementation - Reactive, anticipatory, and intentional agent types

• Three-Component Architecture - Computational engine, decision model, experiential memory

• Visual Representation - Hexagonal agent visualization with behavior indicators

Theoretical Integration

• Mobus Agent Framework - Implementation of systems science agent theory

• Scale-Dependent Modeling - Agents at one scale, systems of agents at another

• Conservation-Constrained Intelligence - Agent behaviors respecting physical laws

Enhanced System Analysis

• Bottom-Up Perspective - Agent-based system emergence modeling

• Multi-Scale Integration - Seamless navigation between agent and system views

• Behavioral Dynamics - Decision-making and adaptation modeling

Research Foundation

Based on comprehensive analysis of Mobus Systems Science chapters 10-11, integrating agent archetype theory with BERT's existing system modeling capabilities.

Strategic Value

Completes BERT's theoretical foundation by adding the missing agent perspective, enabling comprehensive systems analysis that captures both structural decomposition and emergent behavior.