The allocation of human resources is considered as one of daily challenges of many organizations to achieve optimal efficiency. After investigating this challenge, in this research, a multi-agent system is used to make a cooperative game between organizational units for allocation of tasks and human resources in an organization. In the game, every unit provides a proposal for promoting his and other unit’s performance. Our model uses fuzzification to facilitate game process and increase probability of reaching an agreement in the game. Meanwhile it helps for simulation of real conditions in organizations. Results of the fuzzy game have shown that for special allocations of human resources and tasks, organizational performance is more desira...
Traditional Reinforcement learning algorithm can only solve the learning problem of the intelligent ...
This paper is devoted to the problem of task allocation in multi-agent systems. Multi-agent systems ...
We study uncertainties surrounding competition on business networks and board games. We investigate ...
Effective and efficient strategic decision making is the backbone for the success of a business orga...
Nowadays, many commercial computer games on the market have employed some AI techniques especially o...
[[abstract]]Game theoretic decision making is a practical approach to multi-agent coordination. Rati...
decision making, game theory. Game theoretical incentive problem in the framework of the fuzzy princ...
We develop a simultaneous resource accumulation and payoff allocation algorithm under the framework ...
It is important for multi-agent system that the functionally independent agents apply negotiation, c...
In task allocation problems one usually only considers a single round in which players participate. ...
We introduce an efficient and dynamic resource allocation mechanism within the framework of a cooper...
In this paper, we investigate the problems of consensus-making among individuals or organizations wi...
Replicator equations are regularly used to predict how strategies evolve in social dilemmas. These p...
The article examines the processes of applying game mechanics to optimize and automate the managemen...
The human-machine function allocation (HFA) strategy of manned submersibles is an important factor t...
Traditional Reinforcement learning algorithm can only solve the learning problem of the intelligent ...
This paper is devoted to the problem of task allocation in multi-agent systems. Multi-agent systems ...
We study uncertainties surrounding competition on business networks and board games. We investigate ...
Effective and efficient strategic decision making is the backbone for the success of a business orga...
Nowadays, many commercial computer games on the market have employed some AI techniques especially o...
[[abstract]]Game theoretic decision making is a practical approach to multi-agent coordination. Rati...
decision making, game theory. Game theoretical incentive problem in the framework of the fuzzy princ...
We develop a simultaneous resource accumulation and payoff allocation algorithm under the framework ...
It is important for multi-agent system that the functionally independent agents apply negotiation, c...
In task allocation problems one usually only considers a single round in which players participate. ...
We introduce an efficient and dynamic resource allocation mechanism within the framework of a cooper...
In this paper, we investigate the problems of consensus-making among individuals or organizations wi...
Replicator equations are regularly used to predict how strategies evolve in social dilemmas. These p...
The article examines the processes of applying game mechanics to optimize and automate the managemen...
The human-machine function allocation (HFA) strategy of manned submersibles is an important factor t...
Traditional Reinforcement learning algorithm can only solve the learning problem of the intelligent ...
This paper is devoted to the problem of task allocation in multi-agent systems. Multi-agent systems ...
We study uncertainties surrounding competition on business networks and board games. We investigate ...