Cognitive Crisis Simulator Specification

Home / Cognitive Crisis Simulator / Cognitive Crisis Simulator Specification

Cognitive Crisis Simulator Specification

Where Survival Is a Conversation

Overview

Cognitive Crisis Simulator (CCS) is an open, modular specification for building voice-driven, multi-agent crisis simulations that model emergent intelligence, communication, decision-making, cooperation, deception, and adaptive behavior under dynamic, high-pressure environments.

The specification defines a complete architecture for creating research platforms, educational simulations, AI benchmarks, training environments, and interactive experiences where autonomous agents and human participants must communicate, reason, and act together to survive evolving crises.

The platform is designed around modular components, allowing developers to replace or extend individual systems without affecting the remainder of the architecture.

Objectives

Create realistic multi-agent crisis simulations.
Study emergent intelligence and collective behavior.
Benchmark AI reasoning under pressure.
Evaluate communication strategies.
Analyze deception and trust formation.
Support reproducible research.
Enable human and AI collaboration.
Provide a flexible framework for custom scenarios.
Support local and distributed deployments.
Remain model and provider independent.

Design Principles

Modular architecture
Voice-first interaction
AI model agnostic
Deterministic experimentation
Human-in-the-loop capable
Reproducible research
Extensible plugin ecosystem
Open standards
Local-first support
AGPL-3.0+ licensed

Core Architecture

Simulation Engine
        │
        ├── Agent Framework
        ├── Voice System
        ├── Environment Engine
        ├── Crisis Engine
        ├── Director AI
        ├── Scenario Manager
        ├── Analytics
        ├── Research Framework
        ├── Visualization
        └── Plugin System

Modular Design

Simulation Engine

Coordinates every subsystem.

Features

Simulation lifecycle
Tick management
Time control
Event scheduler
Global state management
Resource allocation
Simulation synchronization
Distributed execution
Save and restore
Replay support

Agent Framework

Defines autonomous participants.

Features

AI agents
Human participants
Hybrid teams
Multiple personalities
Internal memory
Long-term memory
Episodic memory
Semantic memory
Goal management
Planning
ReAct reasoning
Reflection
Self evaluation
Adaptive learning
Persistent identities
Agent profiles
Skill systems
Reputation
Trust modeling
Emotional state
Cognitive load
Stress response
Belief systems
Theory of mind
Social reasoning
Decision history
Strategy evolution

Voice Interaction Module

Voice is the primary interface.

Features

Speech recognition
Text-to-speech
Streaming audio
Interruptible speech
Push-to-talk
Continuous conversation
Voice activity detection
Speaker identification
Voice profiles
Emotional speech synthesis
Voice queues
Multi-speaker conversations
Latency optimization
Audio buffering
Noise reduction

Communication System

Supports natural interaction.

Features

Agent conversations
Private conversations
Public broadcasts
Emergency announcements
Radio communication
Communication failures
Delayed communication
Signal degradation
Language translation
Communication permissions
Team channels

Crisis Engine

Creates evolving emergencies.

Features

Oxygen failures
Reactor instability
Fire
Hull breaches
Radiation
Navigation failures
Power outages
AI malfunction
Medical emergencies
Environmental hazards
Cascading failures
Random events
Scripted events
Dynamic escalation
Recovery systems

Environment Engine

Controls the simulated world.

Features

Ship layouts
Room systems
Physical movement
Navigation
Doors
Elevators
Environmental controls
Lighting
Temperature
Atmosphere
Resource nodes
Interactive equipment
Hazard zones
Damage simulation

Resource Management

Tracks finite resources.

Features

Oxygen
Fuel
Energy
Medical supplies
Spare parts
Food
Water
Repair kits
Batteries
Communication bandwidth
Inventory management
Resource allocation
Consumption modeling

Social Intelligence Module

Models human-like interaction.

Features

Trust
Suspicion
Cooperation
Alliances
Rivalries
Betrayal
Negotiation
Persuasion
Leadership
Reputation
Group dynamics
Social memory
Relationship graphs

Theory of Mind Module

Allows agents to model one another.

Features

Belief tracking
Belief prediction
Intent estimation
Knowledge modeling
Uncertainty modeling
Bluff detection
Deception analysis
Social inference

Decision Engine

Controls reasoning.

Features

ReAct loops
Goal prioritization
Constraint solving
Utility evaluation
Risk assessment
Opportunity analysis
Confidence estimation
Multi-step planning
Adaptive strategies

Learning System

Supports continual improvement.

Features

Reflection
Experience replay
Memory consolidation
Outcome analysis
Mistake tracking
Skill development
Strategy refinement
Long-term adaptation

Director AI

Controls pacing and presentation.

Features

Narrative pacing
Dynamic tension
Event timing
Suspense management
Dramatic sequencing
Camera suggestions
Audio timing
Narrative summaries
Story callbacks

Cinematic Module

Creates immersive experiences.

Features

Scene transitions
Camera focus
Dynamic lighting
Environmental effects
Sound effects
Music management
Character themes
Ambient audio
Visual alerts
Emergency overlays

Scenario Framework

Supports unlimited scenarios.

Example Scenarios

Space mission crisis
Deep sea research station
Nuclear facility
Arctic survival
Mars colony
Hospital emergency
Disaster response
Cyber attack
Power grid collapse
Air traffic control
Pandemic response
Industrial accident

Scenario Features

Objectives
Win conditions
Failure conditions
Hidden objectives
Randomized events
Difficulty scaling
Dynamic environments

Human Participation

Features

Voice participation
Observer mode
Spectator mode
Cooperative play
Competitive play
Instructor controls
Moderator controls
Join in progress
Accessibility support

Research Framework

Built for experimentation.

Features

Batch execution
Controlled variables
Seeded randomness
Repeatable experiments
Statistical reporting
Experiment templates
Automated testing
Hypothesis evaluation

Analytics Engine

Measures every simulation.

Metrics

Survival rate
Trust accuracy
Decision quality
Communication efficiency
Cooperation score
Leadership score
Deception success
Resource utilization
Task completion
Crisis response time
Failure analysis
Recovery effectiveness

Data Collection

Features

Complete event logging
Agent reasoning logs
Voice transcripts
State snapshots
Simulation timelines
Experiment metadata
JSON export
CSV export
Replay generation

Storage

Supported storage:

JSON
SQLite
PostgreSQL
MySQL
Object storage
Vector databases

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system
Copyleft enforced for network deployments
Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/cognitive-crisis-simulator/

License & Notice Requirements

Cognitive Crisis Simulator is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to: Roxanne Ardary and roxanneardary.com.
Cognitive Crisis Simulator specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – Cognitive Crisis Simulator

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – March 22, 2026
Created the repository for Cognitive Crisis Simulator. Originated the concept, direction, and licensing structure for the project.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – Cognitive Crisis Simulator

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.