Artificial Intelligence: Agent Technologies e-Books

Highlights the current research on swarm intelligence algorithms and its applications. Including research and survey and application papers, this book serves as a platform for students and scholars interested in achieving their studies on swarm intelligence algorithms and their applications.

Provides an introduction to fundamental concepts in the field, collects experiences of researchers working on conversational agents, and reviews techniques for the design and application of conversational agents.

Discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various fields of science, engineering and technology. Covers conceptual frameworks, case studies, and analysis while serving as a medium of communication among researchers from academia, industry and government.

Brings together views and approaches from different communities including MAS, computational organizational simulation, social simulation, organizational theory, and cognitive science, to present the intersections of the different topics.

Provides libraries with a one-stop resource to equip the academic, industrial, and managerial communities with an in-depth look into the most pertinent AI advances that will lead to the most valuable applications.

Provides a comprehensive analysis of issues related to agent design, implementation, integration, deployment, evaluation, and business value. Presents research results and application of agents and other intelligent information technologies in various domains.

Tackles these real problems and many more, bringing the theoretical research of intelligent agents to researchers and practitioners in academia, government, and innumerable industries.

Aims to provide a mixture of relevant theoretical and practical understanding of the use of multi-agent systems in educational and entertainment research, together with practical examples of the use of such systems in real application scenarios.

Compiles numerous ongoing projects and research efforts in the design of agents in light of recent development in neurocognitive science and quantum physics. This innovative collection provides readers with interdisciplinary applications of multi-agents systems, ranging from economics to engineering.

Addresses the emergence of societal phenomena in the interactions of systems of agents. Goes well beyond describing the next generation of multi-agent systems in simulations and system engineering and analyzes existing systems to stimulate the development of new ones.

Provides a compilation of advanced research results focusing on architecture and modeling issues of multi-agent systems. Serves as a reference for further research on system models, architectural design languages, formal methods and reasoning, module interface design, and design issues.

Offers a framework for modeling societies of autonomous agents that is heavily based on fuzzy algebraic tools. Overviews platforms developed with the purpose of simulating hypotheses or harvesting data from human subjects in efforts for calibration of the model of early learning in humans.