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@M1thieu M1thieu commented Jun 6, 2025

Objective

Implementation

  • Universal Personality Traits: Replaced animal-centric traits with universal life principles (resource_assertiveness, stress_tolerance, competitive_strength)
  • Context-Aware Decision Making: AI utilities now integrate with energy/thermal physics data for realistic responses
  • Proximity-Based Collective Intelligence: Enhanced SocialRelation system with spatial awareness and swarm behavior foundation
  • Experience-Driven Evolution: Personality traits evolve through systemic interdependency rather than hardcoded bonuses
  • Bevy Relations Integration: Full integration with Bevy 0.16 Relations system

Architectural changes maintain LP's plugin-based modular structure with new PersonalityPlugin, enhanced SocialPlugin, and context-aware utility systems.

Testing

  • Enhanced basic_ai.rs example demonstrates most of the new capabilities
  • All workspace compilation verified (cargo check --workspace)
  • Dynamic state labels show emergent personality development in real-time
  • Systems tested for universal applicability (plants, animals, microorganisms)
  • Ready for PBMPM physics integration later

Visual Changes

// Example: Universal personality traits work for any life form
personality.resource_assertiveness += success_modifier; // Plants: root competition,
Animals: territorial behavior
collective_influence = nearby_entities.sum(proximity_influence); // Swarm intelligence
for any organism

Dynamic labels now show emergent states: "Aggressive", "Competitive", "Calm", "Evolved"
based on real personality development.

Technical Notes

  • No breaking changes to existing API
  • New components are optional (backward compatible)
  • Designed specifically for upcoming PBMPM integration
  • Scalable foundation ready for ecosystem-level simulations

M1thieu added 21 commits May 14, 2025 21:01
All remains the same as before just way shorter

The only "changes" were:
- Using matches! macro instead of long match statements (same behavior)
- Removing verbose comments
- Condensing whitespace
I try to keep the codebase clearner now yet I'm wondering, especially with how dense the AI system is planned to be in LP if I shouldn't just be importing the whole big-brain library at this point, at least as a base
I still plan to modify heavily which is why I copied their main files I will need to decide if big-brain can suit LP on the long run despite its flaws, and also its good designs as well tho
Establishes a modular plugin structure for energy physics:
- Add `EnergyPlugin` to combine all domain plugins
- Create domain-specific plugins for thermodynamics, electromagnetism, waves

And that's about it  I'll see to refine later I'm starting to get bored of architecture a little and plan to get soon physics & such in place
Referrals and trying to reduce potential firebase costs as well!
Quick one here gotta go I'll make things better later on
- CI.yaml has been improved
- The project should now compiles way faster as well
- Clarity in project structure
- Everything correctly cargo formated now and will always use the format now
 - Add modular AI plugins: SocialPlugin, TrackerPlugin, DrivesPlugin following other crates pattern
  - Introduce SocialRelation and TrackingRelation components as Relations-based alternatives
- Next commit I'll make it less hardcoded as well
Way less hardcoded for personalities now
Still a lot to do yet started ShortTermMemory however feels like I'm going to sleep any minnnnn
- Universal personality traits (resource_assertiveness, stress_tolerance, competitive_strength)
- Context-aware utilities using energy/thermal physics data (not used in basic_ai example)
- Proximity-based social relations with collective_influence
- Experience-driven trait evolution with systemic interdependency
- Enhanced basic_ai.rs with dynamic emergent state labels
- update_collective_influence() system for universal swarm intelligence
- Enhanced SocialRelation with last_distance and proximity methods
- collective_influence field in ContextAwareUtilities
@M1thieu M1thieu added this to the 0.1 milestone Jun 6, 2025
@M1thieu M1thieu added enhancement New feature or request feature AI labels Jun 6, 2025
@M1thieu M1thieu merged commit b013b17 into erematorg:main Jun 6, 2025
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