8 Best Books on Agent Technology

“Agents and artificial intelligence” Book Review: The book is divided into two parts, with the first part focusing on artificial intelligence and the second part delving into agents. The contents of the first part include topics such as the probabilistic connection between cross-validation and Vapnik bounds, a time-varying model for simulating collective decisional problems, collision avoidance using partially controlled Markov decision processes, reasoning about interest-based preferences, and the advantages of information granulation in clustering algorithms, among others. The second part covers topics such as improving file sharing experiences with incentive-based coalitions, stability and optimality in matching problems with weighted preferences, a conditional game-theoretic approach to cooperative multi-agent systems design, and defining virtual organizations using a formal approach, among others.

“Logical Foundations for Cognitive Agents” Book Review: This is a comprehensive book that covers the foundations of knowledge representation and reasoning for intelligent agents. It includes topics like propositional and first-order logic, reasoning about actions and change, commonsense reasoning, and knowledge representation languages. The book also explores issues related to the implementation of cognitive agents, such as planning and decision-making, and provides examples and exercises to help readers understand the concepts presented.

“Constraint Satisfaction Techniques for Agent-Based Reasoning” Book Review: This book is a comprehensive guide to solving constraint satisfaction problems in agent-based reasoning. The book covers topics such as constraint satisfaction techniques, propositional satisfiability, global constraints, dynamic CSPs, and distributed CSPs. It also explores solution adaptation and interchangeability in crisp and soft CSPs, multi-agent computation of interchangeability, and generic case adaptation framework. The book is ideal for researchers and practitioners in the field of AI and multi-agent systems and provides practical solutions to complex problems.

“Fuzzy-Neuro Approach to Agent Applications: From the AI Perspective to Modern Ontology” Book Review: The primary audience for this book is agent developers and researchers who want to use the iJADK toolkit to create their agent-based applications and projects. The book consists of two parts. The first part focuses on fundamental concepts and theories, such as the evolution of agent technology and AI techniques for agent development. The second part focuses on the practical application of intelligent agents using iJADK, including designing and implementing intelligent agent-based systems using iJADK, iJADE WShopper, and other related tools.

“Agent Technology and e-Health (Whitestein Series in Software Agent Technologies and Autonomic Computing)” Book Review: This book is a comprehensive guide for researchers, developers, and practitioners in the field of e-Health. The book is divided into three parts. Part 1 provides an introduction to agent technology and e-Health. Part 2 covers various applications of agent technology in e-Health such as telemedicine, homecare, and mobile health. Part 3 discusses issues related to the deployment of agent technology in e-Health, including security, privacy, and ethical considerations. The book also includes case studies and examples to demonstrate the use of agent technology in e-Health applications.

“Distributed Constraint Satisfaction: Foundation of Cooperation in Multi-agent Systems” Book Review: This book comprehensively covers topics such as constraint satisfaction problems, distributed constraint satisfaction problems, asynchronous backtracking, asynchronous weak-commitment search, distributed makeout, distributed consistency algorithms, handling multiple local variables, and managing over-constrained situations. Additionally, it discusses future issues and techniques applied to various multi-agent systems.

“Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications (Advances in Intelligent Information Technologies)” Book Review: This book presents a collection of research articles on artificial intelligence, encompassing areas such as information retrieval, conceptual modeling, supply chain demand forecasting, and machine learning algorithms. It demonstrates how these advancements can improve productivity in various roles, such as assisting human operators and serving as autonomous decision-making components in complex systems.