Reasoning And Artificial Planning A Modern Agent Based Approach
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Reasoning and Artificial Planning: A Modern Agent-Based Approach
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-05-20
In a world increasingly driven by technology, the quest for creating intelligent machines that can think, reason, and act autonomously has taken center stage. Rational agency, a branch of artificial intelligence, addresses this challenge by exploring the design and implementation of rational agents—computational entities capable of making rational decisions and performing intelligent actions in complex environments. This book offers a comprehensive journey into the realm of rational agency, providing a deep dive into the theoretical foundations, architectures, reasoning techniques, and practical applications of rational agents. With a focus on the belief-desire-intention (BDI) model, the book delves into the inner workings of rational agents, examining how they can be designed and implemented to solve real-world problems. Readers will gain a thorough understanding of the key concepts and principles underlying rational agency, including the representation and manipulation of beliefs, desires, and intentions; the architectures and algorithms used to design rational agents; and the various reasoning techniques employed by these agents to make informed decisions. The book also explores the ethical and societal implications of rational agency, highlighting the importance of aligning the actions of rational agents with human values and interests. Through a combination of theoretical explanations, practical examples, and thought-provoking discussions, this book provides a comprehensive overview of rational agency, making it an invaluable resource for researchers, practitioners, and anyone interested in understanding the cutting-edge developments in artificial intelligence. Whether you are a seasoned expert in AI or just starting your journey into this fascinating field, this book will equip you with the knowledge and insights necessary to navigate the complexities of rational agency and contribute to the ongoing quest for creating intelligent machines that can reason, plan, and act in a truly rational manner. If you like this book, write a review on google books!
Negotiation and Argumentation in Multi-Agent Systems
Author: Fernando Lopes
language: en
Publisher: Bentham Science Publishers
Release Date: 2014-04-08
Agent technology has generated lots of excitement in the past decade. Currently, multi-agent systems (MAS) composed of autonomous agents representing individuals or organizations and capable of reaching mutually beneficial agreements through negotiation and argumentation are becoming increasingly important and pervasive. Research on both automated negotiation and argumentation in MAS has a vigorous, exciting tradition. However, efforts to integrate both areas have received only selective attention in the academia and the practitioner literature. A symbiotic relationship could significantly strengthen each area’s progress and trigger new R&D challenges and prospects toward the advancement of automated negotiators and argumentation tools. Negotiation and Argumentation in Multi-Agent Systems presents the current state-of-the-art on the theory and practice of automated negotiation and argumentation in MAS. The eBook encourages the interaction between these two areas in data modelling and attempts to converge them toward mutual enhancement and synergism. Equally, the monograph brings together researchers and industry practitioners specialized in these areas to share R&D results and discuss existing and emerging theoretical and applied problems. This book is intended as a textbook for graduate courses and a reference book for researchers, advanced-level students in Computers Science, and IT practitioners.
Formal Approaches to Agent-Based Systems
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Formal Approaches to Agent-Based Systems, FAABS 2000, held in Greenbelt, MD, USA, in April 2000. The 22 revised full papers presented together with 13 posters and two panel discussion reports were carefully reviewed and improved for inclusion in the book. The papers are organized in topical sections on verifying agents' mental states, synthesizing agents initially, frameworks and formalizations, modeling and execution, inter-agent communication, and adaptive agents.