scholarly journals A Social Multi-agent Cooperation System based on Planning and Distributed Task Allocation: Real Case Study

2018 ◽  
Author(s):  
Dhouha Ben Noureddine ◽  
Atef Gharbi ◽  
Samir Ben Ahmed
Keyword(s):  
Task Allocation ◽  
Real Case ◽  
Multi Agent ◽  
Agent Cooperation ◽  
Distributed Task Allocation ◽  
Cooperation System

scholarly journals A Social Multi-Agent Cooperation System Based on Planning and Distributed Task Allocation

Information ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 271
Author(s):  
Atef Gharbi
Keyword(s):  
Task Allocation ◽  
Autonomous Agents ◽  
Computational Time ◽  
Multi Agent System ◽  
Model Checker ◽  
Computation Tree ◽  
Message Exchange ◽  
Multi Agent ◽  
Distributed Task Allocation ◽  
Cooperation System

Planning and distributed task allocation are considered challenging problems. To address them, autonomous agents called planning agents situated in a multi-agent system should cooperate to achieve planning and complete distributed tasks. We propose a solution for distributed task allocation where agents dynamically allocate the tasks while they are building the plans. We model and verify some properties using computation tree logic (CTL) with the model checker its-ctl. Lastly, simulations are performed to verify the effectiveness of our proposed solution. The result proves that it is very efficient as it requires little message exchange and computational time. A benchmark production system is used as a running example to explain our contribution.

scholarly journals A case study on availability of sensor data in agent cooperation

2010 ◽  
Vol 7 (3) ◽  
pp. 597-615
Author(s):  
Christian Johansson ◽  
Fredrik Wernstedt ◽  
Paul Davidsson
Keyword(s):  
Production Costs ◽  
Sensor Data ◽  
Energy Market ◽  
Physical Processes ◽  
Agent Based ◽  
Production And Distribution ◽  
Multi Agent ◽  
Problem Characteristic ◽  
Agent Cooperation

Multi-agent cooperation can in several cases be used in order to mitigate problems relating to task sharing within physical processes. In this paper we apply agent based solutions to a class of problems defined by their property of being predictable from a macroscopic perspective while being highly stochastic when viewed at a microscopic level. These characteristic properties can be found in several industrial processes and applications, e.g. within the energy market where the production and distribution of electricity follow this pattern. Another defining problem characteristic is that the supply is usually limited as well as consisting of several layers of differentiating production costs. We evaluate and compare the performance of the agent system in three different scenarios, and for each such scenario it is shown to what degree the optimization system is dependent on the level of availability of sensor data.

A Multi-Agent Cooperation System Structure for GWSN

2013 ◽  
Vol 321-324 ◽  
pp. 523-527
Author(s):  
Yu Mei Jian ◽  
Ming Chen
Keyword(s):  
Mobile Agent ◽  
Water Area ◽  
System Structure ◽  
Distributed Agents ◽  
Multi Agent ◽  
Agent Cooperation ◽  
Four Levels ◽  
And Control ◽  
Measurement And Control ◽  
Cooperation System

According to the characteristics of GWSN, a Multi-Agent cooperation system structure of GWSN is put forward based on the complexity and changeableness of water area and biologic growth. In this structure, the Agent is divided into mobile Agent and static Agent. Static Agent is responsible for collecting data, and mobile Agent is responsible for move between clusters. Each cluster cooperation agents are responsible for data transmission and the data fusion process is divided into four levels. It manages greenhouse wireless measurement and control system by distributed agents’ information timely interaction and cooperation.

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