scholarly journals Compendious Study of Interaction Protocols in Multiagent Systems

2018 ◽  
Vol 7 (3.8) ◽  
pp. 1
Author(s):  
Dimple Juneja ◽  
Chetali Dhiman ◽  
Savneet Monga ◽  
Ashutosh Kumar Singh
Keyword(s):  
Artificial Intelligence ◽  
Multiagent Systems ◽  
Research Community ◽  
Distributed Artificial Intelligence ◽  
Interaction Protocol ◽  
Interaction Protocols ◽  
Agent Interaction

The premise of the paper is to present a compendious study of interaction protocols pertaining to multiagent systems. Multiagent systems have evolved from the field of Distributed Artificial Intelligence and require numerous agents to cooperate and coordinate to cope with goal search. The primary ingredients to goal search are the language of communication and the interaction protocol. Agents in communication must be able to understand the language of communication and should also follow rules of interaction. The paper focuses on sharing understanding about various agent interaction protocols and it also discusses the promises and challenges each protocol offers to MAS research community.  

On distributed artificial intelligence

1988 ◽  
Vol 3 (1) ◽  
pp. 21-57 ◽  
Author(s):  
Luis Eduardo ◽  
Castillo Hern
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Model ◽  
Intelligent Agents ◽  
Distributed Artificial Intelligence ◽  
Agent Interaction ◽  
Multi Agent

AbstractDistributed Artificial Intelligence has been loosely defined in terms of computation by distributed, intelligent agents. Although a variety of projects employing widely ranging methodologies have been reported, work in the field has matured enough to reveal some consensus about its main characteristics and principles. A number of prominent projects are described in detail, and two general frameworks, theSystem conceptual modeland theagent conceptual model, are used to compare the different approaches. The paper concludes by reviewing approaches to formalizing some of the more critical capabilities required by multi-agent interaction.

scholarly journals Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

2020 ◽  
Vol 10 (18) ◽  
pp. 6553
Author(s):  
Sabrina Azzi ◽  
Stéphane Gagnon ◽  
Alex Ramirez ◽  
Gregory Richards
Keyword(s):  
Artificial Intelligence ◽  
Chronic Care ◽  
Review Paper ◽  
Research Community ◽  
Patient Needs ◽  
Care Needs ◽  
Healthcare Applications ◽  
Medical Specialties ◽  
The Past ◽  
Promising Application

Healthcare is considered as one of the most promising application areas for artificial intelligence and analytics (AIA) just after the emergence of the latter. AI combined to analytics technologies is increasingly changing medical practice and healthcare in an impressive way using efficient algorithms from various branches of information technology (IT). Indeed, numerous works are published every year in several universities and innovation centers worldwide, but there are concerns about progress in their effective success. There are growing examples of AIA being implemented in healthcare with promising results. This review paper summarizes the past 5 years of healthcare applications of AIA, across different techniques and medical specialties, and discusses the current issues and challenges, related to this revolutionary technology. A total of 24,782 articles were identified. The aim of this paper is to provide the research community with the necessary background to push this field even further and propose a framework that will help integrate diverse AIA technologies around patient needs in various healthcare contexts, especially for chronic care patients, who present the most complex comorbidities and care needs.

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