scholarly journals Issues of Emotion-Based Multi-Agent System

Author(s):  
ARUSHI THAKUR ◽  
DIVYA RISHI SAHU

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).

Author(s):  
Bastin Tony Roy Savarimuthu ◽  
Maryam Purvis ◽  
Stephen Cranefield

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.


2002 ◽  
Vol 14 (4) ◽  
pp. 265-281 ◽  
Author(s):  
K. SUZANNE BARBER ◽  
MATTHEW MACMAHON ◽  
CHERYL MARTIN

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