A Collaborative Multi-Agent Framework for Internet-Based Teleoperation Systems

2013 ◽  
Vol 5 (2) ◽  
pp. 31-54
Author(s):  
Nader Cheaib ◽  
Samir Otmane ◽  
Malik Mallem
Keyword(s):  
Conceptual Model ◽  
Multi Agent Systems ◽  
Collaborative Process ◽  
Agent Systems ◽  
Collaborative Software ◽  
Research Areas ◽  
Multi Agent ◽  
Collaboration Process ◽  
3C Model ◽  
Teleoperation Systems

This paper presents a conceptual model of an agent (called Collaborator Agent) intended to design collaborative software architectures based on multi-agent systems. The authors’ model combines astutely two research areas: Multi-Agent Systems (MAS) and Computer Supported Cooperative Work (CSCW). The particularity of their approach is the division of the collaborative process into three spaces according to Ellis' 3C model: communication, coordination and production. In their work, the authors extend the 3C model by adding a fourth space: collaboration. Hence, the authors present a model based on four types of agents (collaboration, communication, coordination and production) supporting the whole set of collaborative tasks. The model is used to create the conceptual software architecture of their MAS. The authors apply their conceptual model on the ARITI-C system for collaborative online robot teleoperation. Finally, the authors present a quantitative evaluation of the collaboration process in ARITI-C.

Multi-Agent Systems Research and Social Science Theory Building

2007 ◽  
pp. 101-110
Author(s):  
H. Verhagen
Keyword(s):  
Social Science ◽  
Organization Theory ◽  
Social Science Research ◽  
Science Research ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Research Areas ◽  
Systems Research ◽  
Science Theory ◽  
Multi Agent

This chapter describes the possible relationship between multi-agent systems research and social science research, more particularly sociology. It gives examples of the consequences and possibilities of these relationships, and describes some of the important issues and concepts in each of these areas. It finally points out some future directions for a bi-directional relationship between the social sciences and multi-agent systems research which hopefully will help researchers in both research areas, as well as researchers in management and organization theory.

scholarly journals A Conceptual Model for Situating Purposes in Artificial Institutions

2022 ◽  
Vol 29 (1) ◽  
pp. 68-80
Author(s):  
Rafhael R. Cunha ◽  
Jomi Fred Hübner ◽  
Maiquel De Brito
Keyword(s):  
Conceptual Model ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
The Status ◽  
Multi Agent ◽  
Institutional Contexts ◽  
Institutional Reality ◽  
Artificial Institutions ◽  
Concrete Elements

{In multi-agent systems, artificial institutions connect institutional concepts, belonging to the institutional reality, to the concrete elements that compose the system. The institutional reality is composed of a set of institutional concepts, called Status-Functions. Current works on artificial institutions focus on identifying the status-functions and connecting them to the concrete elements. However, the functions associated with the status-functions are implicit. As a consequence, the agents cannot reason about the functions provided by the elements that carry the status-functions and, thus, cannot exploit these functions to satisfy their goals. Considering this problem, this paper proposes a model to express the functions -- or the purposes -- associated with the status-functions. Examples illustrate the application of the model in a practical scenario, showing how the agents can use purposes to reason about the satisfaction of their goals in institutional contexts.

scholarly journals Agents and Robots for Reliable Engineered Autonomy:A Perspective from the Organisers of AREA 2020

2021 ◽  
Vol 10 (2) ◽  
pp. 33
Author(s):  
Rafael C. Cardoso ◽  
Angelo Ferrando ◽  
Daniela Briola ◽  
Claudio Menghi ◽  
Tobias Ahlbrecht
Keyword(s):  
Research Trends ◽  
Multi Agent Systems ◽  
Open Problems ◽  
Future Directions ◽  
Agent Systems ◽  
Research Areas ◽  
Multi Agent ◽  
Active Research ◽  
High Level ◽  
First Time

Multi-agent systems, robotics and software engineering are large and active research areas with many applications in academia and industry. The First Workshop on Agents and Robots for reliable Engineered Autonomy (AREA), organised the first time in 2020, aims at encouraging cross-disciplinary collaborations and exchange of ideas among researchers working in these research areas. This paper presents a perspective of the organisers that aims at highlighting the latest research trends, future directions, challenges, and open problems. It also includes feedback from the discussions held during the AREA workshop. The goal of this perspective is to provide a high-level view of current research trends for researchers that aim at working in the intersection of these research areas.

scholarly journals The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3200 ◽  
Author(s):  
Zheng Ma ◽  
Mette Jessen Schultz ◽  
Kristoffer Christensen ◽  
Magnus Værbak ◽  
Yves Demazeau ◽  
...  
Keyword(s):  
Scoping Review ◽  
Information Exchange ◽  
System Development ◽  
Ontology Development ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Research Areas ◽  
Detail Design ◽  
Energy Domain ◽  
Multi Agent

Multi-agent systems are well-known for their expressiveness to explore interactions and knowledge representation in complex systems. Multi-agent systems have been applied in the energy domain since the 1990s. As more applications of multi-agent systems in the energy domain for advanced functions, the interoperability raises challenge raises to an increasing requirement for data and information exchange between systems. Therefore, the application of ontology in multi-agent systems needs to be emphasized and a systematic approach for the application needs to be developed. This study aims to investigate literature on the application of ontology in multi-agent systems within the energy domain and map the key concepts underpinning these research areas. A scoping review of the existing literature on ontology for multi-agent systems in the energy domain is conducted. This paper presents an overview of the application of multi-agent systems (MAS) and ontologies in the energy domain with five aspects of the definition of agent and MAS; MAS applied in the energy domain, defined ontologies in the energy domain, MAS design methodology, and architectures, and the application of ontology in the MAS development. Furthermore, this paper provides a recommendation list for the ontology-driven multi-agent system development with the aspects of 1) ontology development process in MAS design, 2) detail design process and realization of ontology-driven MAS development, 3) open standard implementation and adoption, 4) inter-domain MAS development, and 5) agent listing approach.

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