Role of qualitative reasoning in a multi-agent system

1997 ◽  
pp. 380-393 ◽  
Author(s):  
Vladimir Mařík ◽  
Olga Štěpánková ◽  
Jiři Lažanský
Keyword(s):  
Qualitative Reasoning ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Norm Emergence in Multi-Agent Societies

2011 ◽  
pp. 195-206
Author(s):  
Bastin Tony Roy Savarimuthu ◽  
Maryam Purvis ◽  
Stephen Cranefield
Keyword(s):  
Software Agents ◽  
Experimental Results ◽  
Multi Agent System ◽  
Artificial Agent ◽  
Agent System ◽  
Agent Societies ◽  
Multi Agent ◽  
Norm Emergence

Norms are shared expectations of behaviours that exist in human societies. Norms help societies by increasing the predictability of individual behaviours and by improving cooperation and collaboration among members. Norms have been of interest to multi-agent system researchers, as software agents intend to follow certain norms. But, owing to their autonomy, agents sometimes violate norms, which needs monitoring. In order to build robust MAS that are norm compliant and systems that evolve and adapt norms dynamically, the study of norms is crucial. Our objective in this chapter is to propose a mechanism for norm emergence in artificial agent societies and provide experimental results. We also study the role of autonomy and visibility threshold of an agent in the context of norm emergence.

scholarly journals Issues of Emotion-Based Multi-Agent System

2014 ◽  
pp. 253-255
Author(s):  
ARUSHI THAKUR ◽  
DIVYA RISHI SAHU
Keyword(s):  
Decision Making ◽  
Cognitive Processes ◽  
Artificial Life ◽  
Significant Contribution ◽  
Multi Agent System ◽  
Agent System ◽  
Artificial Intelligent ◽  
Neuroscience Research ◽  
Multi Agent

Emotion plays a significant contribution in perceptual processes of psychology and neuroscience research. Gently, area of Artificial Intelligent and Artificial Life in simulation and cognitive processes modeling uses this knowledge of emotions. Psychology and neuroscience researches are increasingly show how emotion plays an important role in cognitive processes. Gradually, this knowledge is being used in Artificial Intelligent and Artificial Life areas in simulation and cognitive processes modeling. Researchers are still not very clear about working of mind to generate emotion. Different people have different emotion at the same time and for same situation. Thus, to generate artificial emotion for agents is very complex task. Each agent and its emotion are autonomous but when we work on multi-agent system. Agents have to cooperate and coordinate with each other. In this paper we are discussing the role of emotions in multi-agent system while decision making, coordinate and cooperate with other agents. Also, we are about to discuss some major issues related to Artificial Emotion (AE) that should be considered when any research is proposed for it. In this paper we are discussing the role of emotions in multi-agent system while decision making, coordinate and cooperate with other agents. Also, we are about to discuss some major issues related to it that should be considered when any research is proposed for Artificial Emotion (AE).

scholarly journals An Overview of Multi Agent System for Sports and Healthcare Industry

2021 ◽  
Vol 13 (0203) ◽  
pp. 102-109
Author(s):  
Naveen Dalal ◽  
Indu Chhabra
Keyword(s):  
Exercise Session ◽  
Healthcare Industry ◽  
Multi Agent System ◽  
Agent System ◽  
Current Health ◽  
Current Health Status ◽  
Multi Agent ◽  
Overall Performance ◽  
Game Session

Players more often engage in excessive physical activities during exercise session as well as in the game session because results of the games highly depend over the performance of participants that can be degraded due to various factors current health status, injury history, exercise types and duration, training and game experience. A Multi agent System can analyze all these factors and the overall performance of the participants can be improved using feedback. In this paper, the role of the Artificial Intelligence, Expert System, Machine/Deep Learning/Neural Networks in the sports and healthcare industry will be explored.

Digital Circuit of Multi-Agent System for Two Pedestrian Streams in A Narrow Path

2014 ◽  
Vol 2 ◽  
pp. 471-474
Author(s):  
Takashi TOYOFUKU ◽  
Kunihiko MITSUBORI
Keyword(s):  
Digital Circuit ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Multi Agent System Approach for Shipboard Power System Reconfiguration

2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  
Keyword(s):  
Power System ◽  
System Approach ◽  
Multi Agent System ◽  
Agent System ◽  
System Reconfiguration ◽  
Shipboard Power System ◽  
Shipboard Power ◽  
Multi Agent
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