Summarization: The multi-agent systems in Artificial Intelligence very often include task allocation problems. These problems are arduous to be modelled; therefore it is also difficult to end up with an optimal allocation plan. AgentAllocator is an easy to use, platform independent application, which implements a multi-criteria method to support the decision of Task Allocation. The decision maker is able to model the problem (according to his policy) through its inputs dialogs and employ the final solution proposed by the system. In this paper, both the theoretical background of AgentAllocator and the DSS itself are presented.Παρουσιάστηκε στο: Holonic and Multi-Agent Systems for Manufacturin
Summarization: This paper describes an intelligent software agent framework for decision support sy...
This paper discusses the intake of combining multi-criteria decision analysis (MCDA) with OLAP syste...
We present an overview of the Task Coordination (TC) problem in multiagent systems and discuss the s...
Summarization: The multi-agent systems in Artificial Intelligence very often include task allocation...
Summarization: In this paper we present a model which supports an agent (the agent decision maker) t...
AbstractTask allocation is one of the keys to maximize organizational benefits by handling as many t...
Multi-agents techniques allow for designing distributed applications where different stakeholders co...
Agent technology is currently being considered as an important approach for developing intelligent m...
This paper presents a Multi-criteria Negotiation framework for Agent-based Decision Makers. The nego...
This paper presents a communication-less multi-agent task allocation procedure that allows agents to...
This paper is devoted to the problem of task allocation in multi-agent systems. Multi-agent systems ...
The primary focus of this research is on the distributed allocation of dynamically arriving interdep...
An approach of building distributed decision support systems is proposed. There is defined a framewo...
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowle...
The present paper is aimed at multi-objective scheduling in an agent based holonic manufacturing sys...
Summarization: This paper describes an intelligent software agent framework for decision support sy...
This paper discusses the intake of combining multi-criteria decision analysis (MCDA) with OLAP syste...
We present an overview of the Task Coordination (TC) problem in multiagent systems and discuss the s...
Summarization: The multi-agent systems in Artificial Intelligence very often include task allocation...
Summarization: In this paper we present a model which supports an agent (the agent decision maker) t...
AbstractTask allocation is one of the keys to maximize organizational benefits by handling as many t...
Multi-agents techniques allow for designing distributed applications where different stakeholders co...
Agent technology is currently being considered as an important approach for developing intelligent m...
This paper presents a Multi-criteria Negotiation framework for Agent-based Decision Makers. The nego...
This paper presents a communication-less multi-agent task allocation procedure that allows agents to...
This paper is devoted to the problem of task allocation in multi-agent systems. Multi-agent systems ...
The primary focus of this research is on the distributed allocation of dynamically arriving interdep...
An approach of building distributed decision support systems is proposed. There is defined a framewo...
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowle...
The present paper is aimed at multi-objective scheduling in an agent based holonic manufacturing sys...
Summarization: This paper describes an intelligent software agent framework for decision support sy...
This paper discusses the intake of combining multi-criteria decision analysis (MCDA) with OLAP syste...
We present an overview of the Task Coordination (TC) problem in multiagent systems and discuss the s...