A new framework of holonic self-organization for multi-agent systems

2007 ◽  
Author(s):  
Huaglory Tianfield
Keyword(s):  
Self Organization ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
New Framework

A Novel Framework for Multi-Agent Systems Using a Decentralized Strategy

Robotica ◽  
2018 ◽  
Vol 37 (4) ◽  
pp. 691-707 ◽  
Author(s):  
Mehmet Serdar Güzel ◽  
Vahid Babaei Ajabshir ◽  
Panus Nattharith ◽  
Emir Cem Gezer ◽  
Serhat Can
Keyword(s):  
Detection Algorithm ◽  
Multi Agent Systems ◽  
Efficient Manner ◽  
Agent Systems ◽  
Cluttered Environment ◽  
Formation Pattern ◽  
Multi Agent ◽  
Overall Performance ◽  
Goal Detection ◽  
New Framework

SummaryThis work addresses a new framework that proposes a decentralized strategy for collective and collaborative behaviours of multi-agent systems. This framework includes a new clustering behaviour that causes agents in the swarm to agree on attending a group and allocating a leader for each group, in a decentralized and local manner. The leader of each group employs a vision-based goal detection algorithm to find and acquire the goal in a cluttered environment. As soon as the leader starts moving, each member is enabled to move in the same direction by staying coordinated with the leader and maintaining the desired formation pattern. In addition, an exploration algorithm is designed and integrated into the framework so as to allow each group to be able to explore goals in a collaborative and efficient manner. A series of comprehensive experiments are conducted in order to verify the overall performance of the proposed framework.

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 Self-organization in multi-agent systems

2005 ◽  
Vol 20 (2) ◽  
pp. 165-189 ◽  
Author(s):  
GIOVANNA DI MARZO SERUGENDO ◽  
MARIE-PIERRE GLEIZES ◽  
ANTHONY KARAGEORGOS
Keyword(s):  
Case Studies ◽  
Evaluation Criteria ◽  
Self Organization ◽  
Multi Agent Systems ◽  
Joint Work ◽  
Reference Case ◽  
Agent Systems ◽  
Common Definition ◽  
Multi Agent ◽  
Definition Of

This paper is the synthesis of joint work realised in a technical forum group within the AgentLink III NoE framework, which elaborated on issues concerning self-organization and emergence in multi-agent systems (MAS). The work concluded on a common definition of the concepts of self-organization and emergence in MAS and the associated properties and characteristics. Also it developed towards an approach for selecting self-organization mechanisms using a number of selected reference case studies and a set of evaluation criteria.

Society of Agents

2018 ◽  
Vol 14 (4) ◽  
pp. 1-23 ◽  
Author(s):  
Steven Walczak
Keyword(s):  
Problem Solving ◽  
Multi Agent Systems ◽  
New Classification ◽  
Conceptual Foundation ◽  
Agent Systems ◽  
Multi Agent ◽  
Coordination And Collaboration ◽  
Agent Coordination ◽  
New Framework ◽  
Society Of Mind

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.

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