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Cognito Simulation Engine

PyPI - Version License: MIT Python 3.9+ Documentation PyPI Downloads

Welcome to the Cognito Simulation Engine documentation - a revolutionary framework for modeling and testing advanced AI cognitive architectures.

🧠 What is Cognito Simulation Engine?

Cognito Simulation Engine is a modular, production-ready Python framework designed specifically for AGI (Artificial General Intelligence) research. It provides sophisticated tools for simulating cognitive processes that go beyond traditional neural networks, including:

  • Advanced Memory Systems: Working memory, episodic memory, and long-term memory with realistic cognitive constraints
  • Symbolic Reasoning: Rule-based inference engines with forward/backward chaining capabilities
  • Goal-Directed Behavior: Sophisticated goal planning and achievement tracking
  • Metacognitive Agents: Self-reflective AI that reasons about its own cognitive processes
  • Interactive Environments: Rich simulation environments for agent testing and development

🌟 Key Features

Biologically-Inspired Architecture

  • Miller's 7±2 working memory capacity limits
  • Realistic memory decay and consolidation processes
  • Attention-based cognitive resource allocation
  • Multi-modal perception and action systems

Advanced Reasoning Capabilities

  • Forward and backward chaining inference
  • Abductive reasoning for hypothesis generation
  • Uncertainty handling and confidence tracking
  • Domain-specific knowledge integration

Multiple Agent Architectures

  • CognitiveAgent: Full-featured cognitive architecture
  • ReasoningAgent: Specialized for logical problem-solving
  • LearningAgent: Focused on adaptive learning and skill acquisition
  • MetaCognitiveAgent: Advanced self-reflective capabilities

Research-Ready Tools

  • Comprehensive performance metrics and analysis
  • Configurable simulation parameters
  • Data export and visualization capabilities
  • Command-line interface for batch processing

🚀 Quick Start

from cognito_sim_engine import CognitiveEngine, CognitiveAgent, CognitiveEnvironment
from cognito_sim_engine import Goal, Fact, SimulationConfig

# Create environment and configuration
env = CognitiveEnvironment("Research Lab")
config = SimulationConfig(max_cycles=100, enable_metacognition=True)

# Create cognitive engine and agent
engine = CognitiveEngine(config=config, environment=env)
agent = CognitiveAgent("researcher_01", "Dr. Cognitive")

# Add agent to environment
env.add_agent("researcher_01")

# Define a research goal
goal = Goal(
    description="Understand cognitive architectures",
    priority=0.8,
    target_facts=[Fact("understood", ["cognitive_architectures"])]
)
agent.add_goal(goal)

# Run simulation
metrics = engine.run_simulation()
print(f"Simulation completed: {metrics.goals_achieved} goals achieved")

🎯 Use Cases

AGI Research

  • Test theoretical cognitive architectures
  • Study emergent intelligent behavior
  • Validate cognitive theories through simulation
  • Prototype AGI systems safely

Cognitive Science

  • Model human cognitive processes
  • Study memory formation and retrieval
  • Investigate attention and consciousness
  • Test learning and adaptation mechanisms

AI Safety & Alignment

  • Research goal alignment in AI systems
  • Study metacognitive safety mechanisms
  • Test cognitive containment strategies
  • Analyze emergent AI behaviors

Education & Training

  • Teach cognitive science concepts interactively
  • Demonstrate AI reasoning processes
  • Create educational simulations
  • Research cognitive learning strategies

🔬 Research Foundation

Cognito Simulation Engine is built on solid theoretical foundations from cognitive science, neuroscience, and artificial intelligence research:

  • ACT-R Architecture: Adaptive Control of Thought-Rational principles
  • Global Workspace Theory: Consciousness and attention modeling
  • Dual Process Theory: System 1 and System 2 cognitive processing
  • Memory Systems Research: Multi-store memory models
  • Metacognition Research: Self-awareness and cognitive monitoring

🤝 Community & Support

Join our growing community of AGI researchers, cognitive scientists, and AI developers:

📄 License

Cognito Simulation Engine is released under the MIT License, making it freely available for both academic research and commercial applications.

Ready to explore the future of cognitive AI? Get started with installation and basic usage below.

Cognito Simulation Engine - Pioneering the future of AGI through advanced cognitive simulation.