Personality Emergence Research Plan
Created: 2026-02-18 20:35 CST Status: ✅ RESEARCH COMPLETE - All Phases Complete Total output (this packet): 18 core research pages across three phases (8 + 5 + 5), plus 2 overview pages:
personality-emergence-research-plan.md(this page)tachikoma-soul-research.md(engineered personality anchors)
(We intentionally avoid exact KB totals here; they change with formatting and drift out of sync.) Research Complete: YES - All 15 subtasks completed successfully Next: Implementation planning and deployment
Executive Summary
Research complete! Comprehensive synthesis across 15 major domains, answering the north-star question:
“Given identical base LLMs, what mechanisms cause reliable behavioral divergence over time—via memory, interaction history, social feedback, and controlled SOUL.md self-editing—and how do we measure stability vs drift?”
Key findings:
- Mechanisms of divergence: Experience → Memory → Behavior (universal pattern)
- Measurement of stability vs drift: Longitudinal tracking, stress testing, norm consistency
- Governance: Evidence-based SOUL.md editing, approval workflows, audit trails
Recommendation: Start with Tier 1 (Minimal Viable Personality Emergence), validate it works, then scale to Tier 2 (Core Personality Emergence System).
Timeline:
- Tier 1: 4-6 weeks (proof-of-concept)
- Tier 2: 8-12 weeks (production)
- Total: 12-18 weeks
Success criteria:
- 7 agents with 7 distinct personalities (>1.0 SD divergence)
- Personality stability >0.8 (trait correlation)
- Resilience >0.7 (stable under stress)
- SOUL.md governance prevents harmful drift (<5%)
Research Phases
Phase 1: Breadth Survey (Complete ✅)
Goal: Map the landscape across all specialization areas
Subtasks:
- 1.1: LLM Agents & Tool Use survey
- 1.2: Long-term Memory for Agents survey
- 1.3: Multi-turn / Longitudinal Dynamics survey
- 1.4: Multi-agent Emergence survey
- 1.5: Self-modeling & Identity Governance survey
- 1.6: Behavioral Science Insights survey
- 1.7: Academic Sources Mining (NeurIPS, ICLR, ACL, AAMAS, CogSci)
- 1.8: Phase 1 Synthesis — Cross-area patterns
Output (in this repo): docs/strange/tachikoma-personality-emergence/phase1-*.md
Status: ✅ Complete
Phase 2: Depth Dives (Complete ✅)
Goal: Deep research on highest-impact areas identified in Phase 1
Subtasks:
- 2.1: Deep dive #1 (Multi-agent Memory Evolution)
- 2.2: Deep dive #2 (Governed Self-Modification)
- 2.3: Deep dive #3 (Longitudinal Personality Measurement)
- 2.4: Deep dive #4 (Social Norm Emergence)
- 2.5: Deep dive #5 (Stress Response Mechanisms)
Output (in this repo): docs/strange/tachikoma-personality-emergence/phase2-*.md
Status: ✅ Complete
Phase 3: Meta-Synthesis (Complete ✅)
Goal: Integrate breadth + depth findings into actionable architecture
Subtasks:
- 3.1: Synthesis — What the research tells us
- 3.2: Architecture Options — Concrete implementation approaches
- 3.3: Measurement Framework — How to evaluate emergence
- 3.4: SOUL.md Governance Design — Policy update mechanisms
- 3.5: Final Recommendations — What we should implement
Output (in this repo): docs/strange/tachikoma-personality-emergence/phase3-*.md
Status: ✅ Complete
LLM Specialization Areas
1. LLM Agents & Tool Use
- Planning loops, action selection, tool calling
- Error recovery, long-horizon work
- Keywords: “LLM agents”, “tool use”, “function calling”, “planning”, “long-horizon”
2. Long-term Memory for Agents
- Episodic vs semantic memory
- Memory consolidation and forgetting
- Retrieval policies
- Keywords: “memory architecture”, “episodic memory”, “semantic memory”, “consolidation”
3. Multi-turn / Longitudinal Dynamics
- Behavioral consistency over time
- Adaptation under ambiguity
- Resource constraints
- Keywords: “multi-turn”, “longitudinal”, “consistency”, “adaptation”
4. Multi-agent Emergence
- Specialization and coordination
- Peer influence
- Norm formation
- Cultural transmission
- Keywords: “multi-agent emergence”, “peer influence”, “norm formation”, “cultural evolution”
5. Self-modeling & Identity Governance
- SOUL.md as self-description
- Self-modification mechanisms
- Governance challenges
- Drift detection
- Keywords: “SOUL.md”, “self-modeling”, “identity governance”, “self-modification”
6. Behavioral Science Insights
- Big Five personality framework
- TRAIT benchmark
- Stress response mechanisms
- Habit formation
- Keywords: “Big Five”, “personality assessment”, “stress”, “resilience”
7. Academic Sources Mining
- NeurIPS 2024-2025, ICLR 2024-2025, ACL 2024-2025, AAMAS 2024-2025
- CogSci cognitive psychology literature
- Keywords: “NeurIPS”, “ICLR”, “ACL”, “AAMAS”, “CogSci”, “behavioral science”
North-Star Research Question
“Given identical base LLMs, what mechanisms cause reliable behavioral divergence over time—via memory, interaction history, social feedback, and controlled SOUL.md self-editing—and how do we measure stability vs drift?”
Answered: Yes ✅
- Mechanisms of divergence: Experience → Memory → Behavior (universal pattern)
- Measurement of stability vs drift: Longitudinal tracking, stress testing, norm consistency
- Governance: Evidence-based SOUL.md editing, approval workflows, audit trails
Key Distinctions
Memory vs SOUL.md:
- Memory = what happened (task traces, artifacts, facts, outcomes) → retrieval and context
- SOUL.md = normative identity contract (self-model + operating commitments + behavioral defaults) → shapes future behavior
SOUL.md Self-Editing as Governance:
- Model as change-controlled policy updates: propose → justify → ratify → monitor → rollback
- Require evidence grounding (behavioral signals, not introspective poetry)
- Define edit boundaries (changeable vs invariant)
- Control drift (rate-limit, wait for persistent patterns)
- Assume agent is clever gremlin (defend against authority inflation, oversight reduction)
Success Criteria
Primary output: Research synthesis with references (implementation comes later)
Research is successful if we can answer:
- Mechanisms of divergence: What causes identical LLMs to develop different stable behaviors? ✅ ANSWERED
- Measurement: How do we measure stability vs drift? ✅ ANSWERED
- SOUL.md governance: How should agents safely update their identity contracts? ✅ ANSWERED
- Practical insights: What can we actually implement in our fleet? ✅ ANSWERED
Conceptual success:
- ✅ Identical base LLMs + different experience streams → measurably different stable behavior
- ✅ SOUL.md evolves slowly and defensibly
- ✅ System distinguishes temporary mood/noise vs persistent trait-like tendencies
- ✅ Identity emerges, doesn’t flap in the wind
File Structure
This packet lives in the docs site under:
docs/strange/
├── 2026-02-20-tachikoma-personality-emergence-packet.md # index
└── tachikoma-personality-emergence/
├── personality-emergence-research-plan.md # this page
├── tachikoma-soul-research.md
├── phase1-01_llm_agents_tool_use.md
├── phase1-02_long_term_memory.md
├── phase1-03_multiturn_longitudinal.md
├── phase1-04_multiagent_emergence.md
├── phase1-05_selfmodeling_governance.md
├── phase1-06_behavioral_science.md
├── phase1-07_academic_sources.md
├── phase1-08_phase1_synthesis.md
├── phase2-01_multiagent_memory_evolution.md
├── phase2-02_governed_self_modification.md
├── phase2-03_longitudinal_personality_measurement.md
├── phase2-04_social_norm_emergence.md
├── phase2-05_stress_response_mechanisms.md
├── phase3-01_research_synthesis.md
├── phase3-02_architecture_options.md
├── phase3-03_measurement_framework.md
├── phase3-04_soul_governance_design.md
└── phase3-05_final_recommendations.md
Current Status
Phase: ✅ COMPLETE - All phases complete Status: RESEARCH COMPLETE - Ready for implementation
Progress Log
| Time (CST) | Phase | Subtask | Status | Notes |
|---|---|---|---|---|
| 20:35 | 1 | Setup | ✅ Complete | Research plan created |
| 21:00 | 1 | 1.1 | ✅ Complete | LLM Agents & Tool Use survey |
| 21:10 | 1 | 1.2 | ✅ Complete | Long-term Memory survey |
| 21:25 | 1 | 1.3 | ✅ Complete | Multi-turn / Longitudinal Dynamics |
| 21:45 | 1 | 1.4 | ✅ Complete | Multi-agent Emergence |
| 22:10 | 1 | 1.5 | ✅ Complete | Self-modeling & Governance |
| 22:35 | 1 | 1.6 | ✅ Complete | Behavioral Science Insights |
| 23:20 | 1 | 1.7 | ✅ Complete | Academic Sources Mining |
| 23:50 | 1 | 1.8 | ✅ Complete | Phase 1 Synthesis |
| Phase 1 | ✅ COMPLETE | 8 docs | ||
| 00:05 | 2 | 2.1 | ✅ Complete | Multi-agent Memory Evolution |
| 00:35 | 2 | 2.2 | ✅ Complete | Governed Self-Modification |
| 01:05 | 2 | 2.3 | ✅ Complete | Longitudinal Personality Measurement |
| 01:35 | 2 | 2.4 | ✅ Complete | Social Norm Emergence |
| 01:45 | 2 | 2.5 | ✅ Complete | Stress Response Mechanisms |
| Phase 2 | ✅ COMPLETE | 5 docs | ||
| 02:00 | 3 | 3.1 | ✅ Complete | Meta-Synthesis |
| 02:10 | 3 | 3.2 | ✅ Complete | Architecture Options |
| 02:20 | 3 | 3.3 | ✅ Complete | Measurement Framework |
| 02:25 | 3 | 3.4 | ✅ Complete | SOUL.md Governance Design |
| 02:35 | 3 | 3.5 | ✅ Complete | Final Recommendations |
| Phase 3 | ✅ COMPLETE | 5 docs | ||
| RESEARCH | ✅ COMPLETE | 15 deliverables (8+5+5) |
This plan is now complete. Research synthesis complete. Ready for implementation planning.