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.

Software Metrics for Computing Quality of Software Agents

2020 ◽  
Vol 17 (5) ◽  
pp. 2035-2038
Author(s):  
E. Ajith Jubilson ◽  
Ravi Sankar Sangam
Keyword(s):  
Software Metrics ◽  
Online Shopping ◽  
Software Agents ◽  
Evaluation Process ◽  
Building Blocks ◽  
Software Agent ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Metrics are the essential building blocks for any evaluation process. They establish specific goals for improvement. Multi agent system (MAS) is complex in nature, due to the increase in complexity of developing a multi agent system, the existing metrics are less sufficient for evaluating the quality of an MAS. This is due to the fact that agent react in an unpredictable manner. Existing metrics for measuring MAS quality fails to addresses potential communication, initiative behaviour and learn-ability. In this work we have proposed additional metrics for measuring the software agent. A software agent for online shopping system is developed and the metrics values are obtained from it and the quality of the multi agent system is analysed.

scholarly journals Multi-Agent System Development and Application for Supply Chain Management Tasks

2021 ◽  
Vol 24 ◽  
pp. 1-7
Author(s):  
Darya Plinere ◽  
Ludmila Aleksejeva ◽  
Yuri Merkuryev
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
System Development ◽  
Software Agents ◽  
Multi Agent System ◽  
Timely Manner ◽  
Changing Environment ◽  
Agent System ◽  
Chain Management ◽  
Multi Agent

In today’s dynamically changing environment, we need to be able to respond in a timely manner to changes in supply chain processes. Software agents are successfully used in supply chain management tasks for a variety of purposes. The behaviour of agents is determined by the purpose of their development, and the effectiveness of the use of agents is considered in accordance with the purpose of their development. The paper presents research on the development of a multi-agent system for supply chain management, focusing on the steps of developing a multi-agent system. The choice of each algorithm for agents is analysed and argued. The application of the developed multi-agent system for supply chain management is also described in the paper. The efficiency of application of the developed multi-agent system is presented as well.

scholarly journals An Interaction Approach Between Services for Extracting Relevant Data From Tweets Corpora

10.29007/4tbj ◽  
2018 ◽  
Author(s):  
Mehdy Dref ◽  
Anna Pappa
Keyword(s):  
Social Network ◽  
Software Agents ◽  
Multi Agent System ◽  
Agent System ◽  
Web Resources ◽  
Multi Agent ◽  
Interaction Approach ◽  
The Web

We present a system based on the need of special infrastructure adequate to software agents to operate, to compose and make sense from the contents of the Web resources through the development of a multi-agent system oriented services interactions. Our method follows the different construction ontology techniques and updates them by extracting new terms and integrate them to the ontology.It is based on the detection phrases via the ontological database DBPedia. The system treats each syntagme extracted from the corpus of messages and verifies whether it is possible to associate them directly to a DBPedia knowledge. In case of failure, these service agents interact with each other in order to find the best possible answer to the problem, by operating directly in the phrase, trying to semantically modify it, until the association with ontological knowledge becomes possible. The advantage of our approach is its modularity : it is both possible to add / modify / delete a service or define a new one, and then influence the outcome product. We could compare the results extracted from a heterogeneous body of messages from the Twitter social network with Tagme method, based mainly on storage and annotation of encyclopaedic corpus.

scholarly journals Symbolic Synthesis of Fault-Tolerance Ratios in Parameterised Multi-Agent Systems

2018 ◽  
Author(s):  
Panagiotis Kouvaros ◽  
Alessio Lomuscio ◽  
Edoardo Pirovano
Keyword(s):  
Fault Tolerance ◽  
Epistemic Logic ◽  
Swarm Robotics ◽  
Experimental Results ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Agent Systems ◽  
Multi Agent ◽  
Symbolic Synthesis

We study the problem of determining the robustness of a multi-agent system of unbounded size against specifications expressed in a temporal-epistemic logic. We introduce a procedure to synthesise automatically the maximal ratio of faulty agents that may be present at runtime for a specification to be satisfied in a multi-agent system. We show the procedure to be sound and amenable to symbolic implementation. We present an implementation and report the experimental results obtained by running this on a number of protocols from swarm robotics.

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 Energy redistribution in autonomous hybridization of agent-based computing

2021 ◽  
Vol 22 (3) ◽  
Author(s):  
Mateusz Godzik
Keyword(s):  
Energy Level ◽  
Experimental Results ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Energy Redistribution ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent

Evolutionary multi-agent systems (EMAS) are very good at dealing with difficult, multi-dimensional problems. Currently, research is underway to improve this algorithm, giving even more freedom to agents not only in solving the problem but also in making decisions on the behavior of the algorithm. One way is to hybridize this algorithm with other existing algorithms creating Hybrid Evolutionary Multi Agent-System (HEMAS). Unfortunately, such connections generate problems in the form of an unbalanced energy level of agents who have made the decision to use such an improvement. One of the solutions is the mechanism of redistributing the agents' energy in the form of an operator. The article presents several proposals of redistribution operators along with numerous experimental results.

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.

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