NLSOM

MultimodalScienceSocialMulti Agent

What is NLSOM?

NLSOM is a novel framework implementing the Societies of Mind concept through natural language-based agent collaboration. It combines LLMs, neural networks, APIs and role-players in a modular system that enables autonomous task solving through structured agent interactions and reward-based learning.

Features

Concept of Natural Language-Based Societies of Mind

Agents include LLMs, NN-based experts, and role-players

Uses collaborative "Mindstorm" process for task solving

Encourages modular addition of components

Links

Website GitHub

Pros and Cons of NLSOM

Pros

Seamless integration of diverse AI agent types

Modular architecture allows easy addition of components

Autonomous agent selection based on task requirements

Structured collaboration through natural language communication

Reward system enables performance-based agent improvement

Cons

Paper implementation delayed several months after completion

Limited to agents that communicate via text

Reward mechanism needs further refinement and development

NLSOM Use Cases

Multi-agent collaboration for complex problem solving tasks

Automated task distribution across specialized AI agents

Modular integration of new AI capabilities

Cross-modal tasks requiring multiple expert systems

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