SELAgents

SELAgents: Social-Emotional Learning Framework for Artificial Agents

A comprehensive framework for implementing social and emotional learning in artificial agents, combining reinforcement learning with emotional processing models and theory of mind capabilities.

Features

• Emotional Processing Engine: Advanced emotion modeling and response system
• Theory of Mind Implementation: Social reasoning and prediction capabilities
• Social Strategy Framework: Game theory-based decision making
• Dynamic Social Networks: Complex social relationship modeling
• Emotional Memory System: Learning from past social interactions
• Visualization Tools: Network and emotional dynamics visualization

Installation

pip install selagents

Quick Start

from selagents.core import Agent
from selagents.models import TheoryOfMind
from selagents.utils import Visualizer

# Create agents with emotional capabilities
agent1 = Agent(emotional_capacity=0.8)
agent2 = Agent(emotional_capacity=0.7)

# Initialize social interaction
interaction = agent1.interact(agent2)

# Visualize the emotional dynamics
visualizer = Visualizer()
visualizer.plot_emotional_dynamics(interaction)