Unlike the more closed and proprietary model prevalent in the U.S., China’s approach leverages state support and open-source ...

Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

the agent can now change from its original rule-based approach to a smarter system level decision – all without a high demand on processing or connectivity - which keeps the device simple and ...

RD-Agent operates ... begins with simple tasks and refines its development methods based on real-world feedback. To evaluate R&D capabilities, researchers have introduced RD2Bench, a benchmarking ...

Abstract: In multi-agent system, the requirement/service is a cooperation way that is simple, efficient ... we propose a requirement/service cooperative model and semantics for multi-agent system ...

This repository contains the code for the paper "Cooperation ... reward that is based on agents's distance traveled. The code is implemented for use with the Multi-Agent Particle Environment (MPE), ...

Artificial intelligence has progressed significantly, beginning with Large Language Models (LLMs ... between cooperative and competitive goals. Example of mixed agent system: In a collaborative ...

llm_agent_negotiation_system.py : script for generating the advisory passing sequence of vehicles in each conflict pair based on the severity of the conflict for each CAV final decision, features a ...

Abstract: A novel agent-based framework for modeling and simulating competitive and cooperative behavior under conflict is proposed. Formal definitions of Nash, general metarational, symmetric ...