Constraint-directed intelligent control in multi-agent problem solving

2002 ◽  
Author(s):  
M. Evans ◽  
J. Anderson
Keyword(s):  
Problem Solving ◽  
Intelligent Control ◽  
Multi Agent

An Approach of Decision-Making Support Based on Collaborative Agents for Unexpected Rush Orders Management

2011 ◽  
pp. 108-125
Author(s):  
El Habib Nfaoui ◽  
Omar El Beqqali ◽  
Yacine Ouzrout ◽  
Abdelaziz Bouras
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Problem Solving ◽  
Broad Class ◽  
Global Distribution ◽  
Distributed Architecture ◽  
Agent Based ◽  
Multi Agent ◽  
Different Levels ◽  
Decision Making Support

Decisions at different levels of the supply chain can no longer be considered independently, since they may influence profitability throughout the supply chain. This paper focuses on the interest of multi-agent paradigm for the collaborative coordination in global distribution supply chain. Multi-agent computational environments are suitable for a broad class of coordination and negotiation issues involving multiple autonomous or semiautonomous problem solving contexts. An agent-based distributed architecture is proposed for better management of rush unexpected orders. This paper proposes a first architecture validated by a real and industrial case.

Society of Agents

2020 ◽  
pp. 160-183
Author(s):  
Steven Walczak
Keyword(s):  
Problem Solving ◽  
Information Sharing ◽  
Multi Agent Systems ◽  
New Classification ◽  
Conceptual Foundation ◽  
Agent Systems ◽  
Multi Agent ◽  
Coordination And Collaboration ◽  
Agent Coordination ◽  
New Framework

The development of multiple agent systems faces many challenges, including agent coordination and collaboration on tasks. Minsky's The Society of Mind provides a conceptual view for addressing these multi-agent system problems. A new classification ontology is introduced for comparing multi-agent systems. Next, a new framework called the Society of Agents is developed from Minsky's conceptual foundation. A Society of Agents framework-based problem-solving and a Game Society is developed and applied to the domain of single player logic puzzles and two player games. The Game Society solved 100% of presented Sudoku and Kakuro problems and never lost a tic-tac-toe game. The advantage of the Society of Agents approach is the efficient re-utilization of agents across multiple independent game domain problems and a centralized problem-solving architecture with efficient cross-agent information sharing.

scholarly journals Multi-agent Algorithm for Re-allocating Grid-resources and Improving Fault-tolerance of Problem-solving Processes

2019 ◽  
Vol 150 ◽  
pp. 171-178 ◽  
Author(s):  
Alexander Feoktistov ◽  
Roman Kostromin ◽  
Ivan Sidorov ◽  
Sergey Gorsky ◽  
Gennady Oparin
Keyword(s):  
Fault Tolerance ◽  
Problem Solving ◽  
Multi Agent ◽  
Grid Resources ◽  
Agent Algorithm

scholarly journals Research on Intelligent Control Based on Multi-Agent Technology and Its Application in Robot Field

2020 ◽  
Vol 1549 ◽  
pp. 042035
Author(s):  
Jiangping Nan ◽  
Juanjuan Wang ◽  
Junhui Liu ◽  
Yajuan Jia ◽  
Yaya Wang ◽  
...  
Keyword(s):  
Intelligent Control ◽  
Agent Technology ◽  
Multi Agent

Research of Intelligent Control of Traffic Signal

2014 ◽  
Vol 644-650 ◽  
pp. 107-111
Author(s):  
Xiang Li ◽  
Jin Song Du ◽  
Jing Tao Hu ◽  
Xin Bi
Keyword(s):  
Genetic Algorithm ◽  
Neural Networks ◽  
Particle Swarm Optimization ◽  
Artificial Neural Networks ◽  
Intelligent Control ◽  
Traffic Signal ◽  
Future Research ◽  
Intelligent Algorithm ◽  
Swarm Optimization ◽  
Multi Agent

At present, in the field of intelligent control of traffic signal, most of scholars at home and abroad use fuzzy control and intelligent algorithm, such as genetic algorithm, ant colony optimization, particle swarm optimization, multi-agent, artificial neural networks, fuzzy method etc. This paper summarizes and analyzes these algorithms, points out the problems and shortcomings in the present research, puts forward the direction and trend in the future research. These works have certain directive significance to the research and development of intelligent control of traffic signal.

The genicAgent: a hybrid approach for multi‐agent problem solving

Kybernetes ◽  
2001 ◽  
Vol 30 (1) ◽  
pp. 26-34 ◽  
Author(s):  
Emilie A. Saci ◽  
Yves Cherruault
Keyword(s):  
Problem Solving ◽  
Hybrid Approach ◽  
Multi Agent
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