With peer-to-peer software technologies based on Blockchain and Smart Contracts, automated negotiation of client-server relationships for enterprise networking and project-oriented fractal organizations can now be readily implemented. To this aim, the distributed (emergent) schedule of client-server contracts must be a Nash equilibrium from which any agent finds no incentive to deviate. Also, to respond effectively to unplanned events and disturbances, the renegotiating process of all concerned client-server contracts must pursue a new Nash equilibrium solution in the face of incomplete information by each individual agent. In this work, distributed multi-project (re)scheduling is formulated as a repeated-negotiation game in a multi-agent s...
The focus of many Artificial Intelligence approaches to solving the computer-based scheduling proble...
Bargaining can be used to resolve mixed-motive games in multi-agent systems. Although there is an ab...
We develop a novel mechanism for coordinated, distributed multi-agent planning. We consider problems...
Competitive pressures and business globalization have led many organizations, mainly technology-base...
We are interested in building intelligent, autonomous software agents that can relieve human users f...
In this paper we demonstrate how decentralized multi-project scheduling problems can be solved effic...
In a multi-project context within enterprise networks, reaching feasible solutions to the (re)schedu...
In large distributed systems, the optimization algorithm of task scheduling may not meet the special...
In multiagent systems, computational agents search for and make contracts on behalf of the real worl...
We propose a novel strategy to enable autonomous agents to negotiate concurrently with multiple, unk...
This paper presents the application of collaborative reinforcement learning models to enable the dis...
Progressive reasoning was introduced as another way of flexible computation to handle transient over...
In large multi-agent systems, individual agents often have conflicting goals, but are dependent on e...
This paper considers a project-scheduling environment assuming that the activities of the project ne...
The problem of constructing and analyzing systems of intelligent, autonomous agents is becoming more...
The focus of many Artificial Intelligence approaches to solving the computer-based scheduling proble...
Bargaining can be used to resolve mixed-motive games in multi-agent systems. Although there is an ab...
We develop a novel mechanism for coordinated, distributed multi-agent planning. We consider problems...
Competitive pressures and business globalization have led many organizations, mainly technology-base...
We are interested in building intelligent, autonomous software agents that can relieve human users f...
In this paper we demonstrate how decentralized multi-project scheduling problems can be solved effic...
In a multi-project context within enterprise networks, reaching feasible solutions to the (re)schedu...
In large distributed systems, the optimization algorithm of task scheduling may not meet the special...
In multiagent systems, computational agents search for and make contracts on behalf of the real worl...
We propose a novel strategy to enable autonomous agents to negotiate concurrently with multiple, unk...
This paper presents the application of collaborative reinforcement learning models to enable the dis...
Progressive reasoning was introduced as another way of flexible computation to handle transient over...
In large multi-agent systems, individual agents often have conflicting goals, but are dependent on e...
This paper considers a project-scheduling environment assuming that the activities of the project ne...
The problem of constructing and analyzing systems of intelligent, autonomous agents is becoming more...
The focus of many Artificial Intelligence approaches to solving the computer-based scheduling proble...
Bargaining can be used to resolve mixed-motive games in multi-agent systems. Although there is an ab...
We develop a novel mechanism for coordinated, distributed multi-agent planning. We consider problems...