MACS: Multi-Agent COTR System for defense contracting

MACS: Multi-Agent COTR System for defense contracting

Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. The field of intelligent multi-agent systems has expanded rapidly in the recent past. Multi-agent architectures and systems are ...

Contracting Tasks in Multi-Agent Environments

Multi-Agent Bidding and Contracting for Non-Storable Goods

We study electronic bidding and contracting for nonstorable goods such as electric power using multi-GA agents and game theoretical approaches. In this framework, there is a long-term contract market as well as a back-stop spot market. Seller agents bid into an electronic bulletin board their contract offers in terms of price or capacity, while Buyer agents decide how much to contract with Sell...

The Implementation of the Multi-Agent Classification System (MACS) in Compliance with FIPA Specifications

The paper discusses the implementation of the MultiAgent classification System (MACS) and utilizing it to provide an automated and accurate classification of end users developing applications in the spreadsheet domain. However, different technologies have been brought together to build MACS. The strength of the system is the integration of the agent technology with the FIPA specifications toget...

An Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...