A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains.

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Yes, you can access Multi-Agent Systems by Faisal Alkhateeb,Eslam Al Maghayreh,Iyad Abu Doush, Faisal Alkhateeb, Eslam Al Maghayreh, Iyad Abu Doush in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

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Artificial Intelligence (AI) & Semantics

Index

Computer Science

Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies
Contents
Preface
Part 1 - Multi-Agent Systems Modeling
Chapter 1 - Agent-Based Modeling and Simulation
Chapter 2 - A Multi-Agent based Multimodal System Adaptive to the User’s Interaction Context
Chapter 3 - Scenario-Based Modeling of Multi-Agent Systems
Chapter 4 - Modelling Multi-Agent System using Different Methodologies
Chapter 5 - The Agent Oriented Multi Flow Graphs Specification Model
Chapter 6 - Multi-Agent Models in Workflow Design
Chapter 7 - Evolutionary Reduction of the Complexity of Software Testing by Using Multi-Agen tSystem Modeling Principles
Chapter 8 - An Approach to Operationalize Regulative Norms in Multiagent Systems
Part 2 - Interaction and Decision Making on Agent Environments
Chapter 9 - Agent-Environment Interaction in MAS -Introduction and Survey
Chapter 10 - A Dependable Multi-Agent System with Self-Diagnosable Function
Chapter 11 - Evolution of Adaptive Behavior toward Environmental Change in Multi-Agent Systems
Chapter 12 - Evolutionary Adaptive Behavior in Noisy Multi-Agent System
Chapter 13 - Data Mining for Decision Making in Multi-Agent Systems
Part 3 - Multi-Agent Systems Simulation
Chapter 14 - Decision Support based on Multi-Agent Simulation Algorithms with Resource Conversion Processes Apparatus Application
Chapter 15 - Agent-based Simulation Analysis for Effectiveness of Financing Public Goods with Lotteries
Part 4 - Case Studies
Chapter 16 - Integrating RFID in MASt hrough “Sleeping” Agents:a Case Study
Chapter 17 - A Multi-Agent Approach to Electric Power Systems
Chapter 18 - Multi-Agent Systems and Blood Cell Formation
Chapter 19 - Identification of Relevant Genes with a Multi-Agent System using Gene Expression Data
Chapter 20 - Collecting and Classifying Large Scale Data to Build an Adaptive and Collective Memory: a Case Study in e-Health for a Pro-active Management
Chapter 21 - Developing a Multi-agent Software to Support the Creation of Dynamic Virtual Organizations aimed at Preventing Child Abuse Cases
Chapter 22 - Obtaining Knowledge of Genes’ Behavior in Genetic Regulatory System by Utilizing Multiagent Collaborative Computation

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