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Books on the topic 'Agentic AI'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Huang, Ken, ed. Agentic AI. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90026-6.

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2

Zhang, Xiucheng. Xian dai shi yong kang ai Zhong yao. Beijing ke xue ji shu chu ban she, 1999.

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3

Jianhua, Cheng, Li Yibin, Yuan Chunlin, and Liu Xinhong, eds. Kang ai zhi wu yao ji qi yan fang. Jiangxi ke xue ji shu chu ban she, 1998.

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4

1962-, Weiss Gerhard, ed. Multiagent systems: A modern approach to distributed artificial intelligence. MIT Press, 1999.

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5

Mukesh, Patel, Honavar Vasant, and Balakrishnan Karthik 1970-, eds. Advances in the evolutionary synthesis of intelligent agents. MIT Press, 2001.

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6

1960-, Cassell Justine, ed. Embodied conversational agents. MIT Press, 2000.

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7

Lee, R. S. T. Fuzzy-neuro approach to agent applications: From the AI perspective to modern ontology. Springer, 2006.

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8

CIA 2004 (2004 Erfurt, Germany). Cooperative information agents VIII: 8th international workshop, CIA 2004, Erfurt, Germany, September 27-29, 2004 ; proceedings. Springer, 2004.

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9

Maurice, Pagnucco, Wobcke Wayne 1963-, Zhang Chengqi, and Australian Joint Conference on Artificial Intelligence, (10th : 1997 : Perth, W.A.), eds. Agents and multi-agent systems: Formalisms, methodologies and applications : based on the AI'97 Workshop on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence, Perth, Australia, December 1, 1997. Springer, 1998.

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10

Adelinde, Uhrmacher, and Weyns Danny, eds. Multi-agent systems: Simulation and applications. Taylor & Francis, 2009.

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11

Designing Agentive Technology: AI That Works for People. Rosenfeld Media, LLC, 2017.

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12

Designing Agentive Technology: AI That Works for People. Rosenfeld Media, LLC, 2017.

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13

Henderson-Sellers, Brian. Agent-Oriented Methodologies. IGI Global, 2005.

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14

Strategic Negotiation in Multiagent Environments (Intelligent Robotics and Autonomous Agents). The MIT Press, 2001.

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15

Dubber, Markus D., Frank Pasquale, and Sunit Das, eds. The Oxford Handbook of Ethics of AI. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780190067397.001.0001.

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This book explores the intertwining domains of artificial intelligence (AI) and ethics—two highly divergent fields which at first seem to have nothing to do with one another. AI is a collection of computational methods for studying human knowledge, learning, and behavior, including by building agents able to know, learn, and behave. Ethics is a body of human knowledge—far from completely understood—that helps agents (humans today, but perhaps eventually robots and other AIs) decide how they and others should behave. Despite these differences, however, the rapid development in AI technology tod

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16

Mohan Kumar, Dr S. Artificial Intelligence: Foundations, Applications, and the Generative Future. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2025. https://doi.org/10.47716/978-93-92090-63-9.

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Artificial Intelligence (AI) is no longer confined to laboratories and theoretical models; it is now a driving force behind the digital transformation of society. Artificial Intelligence: Foundations, Applications, and the Generative Future provides an in-depth journey through AI’s essential principles, its wide-ranging applications, and the revolutionary impact of generative technologies. The book methodically builds knowledge from classical AI concepts like intelligent agents, search strategies, and knowledge representation, to advanced learning models including neural networks and machine l

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17

An introduction to multiagent systems. J. Wiley, 2002.

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18

An introduction to multiagent systems. 2nd ed. John Wiley & Sons, 2009.

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19

Boden, Margaret A. 2. General intelligence as the Holy Grail. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.003.0002.

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A host of state-of-the-art AI applications exist, designed for countless specific tasks and used in almost every area of life, by laymen and professionals alike. Many outperform even the most expert humans. In that sense, progress has been spectacular. But the AI pioneers were also hoping for systems with general intelligence. ‘General intelligence as the Holy Grail’ explains why artificial general intelligence is still highly elusive despite recent increases in computer power. It considers the general AI strategies in recent research—heuristics, planning, mathematical simplification, and diff

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20

Weiß, Gerhard, Michael Rovatsos, and Matthias Nickles. Agents and Computational Autonomy: Potential, Risks, and Solutions. Springer London, Limited, 2004.

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21

(Editor), Matthias Nickles, Michael Rovatsos (Editor), and Gerhard Weiß (Editor), eds. Agents and Computational Autonomy: Potential, Risks, and Solutions (Lecture Notes in Computer Science). Springer, 2004.

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22

Trzebiatowski, Gabriela Lindemann-v., Jörg Denzinger, Rainer Unland, and Ingo J. Timm. Multiagent System Technologies: Second German Conference, MATES 2004, Erfurt, Germany, September 29-30, 2004, Proceedings. Springer London, Limited, 2004.

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23

(Editor), Gabriela Lindemann-v. Trzebiatowski, Jörg Denzinger (Editor), Ingo J. Timm (Editor), and Rainer Unland (Editor), eds. Multiagent System Technologies: Second German Conference, MATES 2004, Erfurt, Germany, September 29-30, 2004, Proceedings (Lecture Notes in Computer Science). Springer, 2004.

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24

Brachman, Ronald J., and Hector J. Levesque. Machines like Us. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14299.001.0001.

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How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise. It's sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lac

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25

Vallor, Shannon, and George A. Bekey. Artificial Intelligence and the Ethics of Self-Learning Robots. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190652951.003.0022.

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The convergence of robotics technology with the science of artificial intelligence is rapidly enabling the development of robots that emulate a wide range of intelligent human behaviors. Recent advances in machine learning techniques have produced artificial agents that can acquire highly complex skills formerly thought to be the exclusive province of human intelligence. These developments raise a host of new ethical concerns about the responsible design, manufacture, and use of robots enabled with artificial intelligence—particularly those equipped with self-learning capacities. While the pot

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26

Plekhanova, Valentina. Intelligent Agent Software Engineering. IGI Global, 2002.

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27

Lee, Raymond S. T. Fuzzy-Neuro Approach to Agent Applications: From the AI Perspective to Modern Ontology (Springer Series on Agent Technology). Springer, 2006.

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28

Bongard, Josh. Modeling self and others. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0011.

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Embodied cognition is the view that intelligence arises out of the interaction between an agent’s body and its environment. Taking such a view generates novel scientific hypotheses about biological intelligence and opportunities for advancing artificial intelligence. In this chapter we review one such set of hypotheses regarding how a robot may generate models of self, and others, and then exploit those models to recover from damage or exhibit the rudiments of social cognition. This modeling of self and others draws mainly on three concepts from neuroscience and AI: forward and inverse models

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29

(Editor), Wayne Wobcke, Maurice Pagnucco (Editor), and Chengqi Zhang (Editor), eds. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications: Based on the AI'97 Workshops on Commonsense Reasoning, Intelligent Agents, ... / Lecture Notes in Artificial Intelligence). Springer, 1998.

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30

Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach. Cambridge University Press, 2002.

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31

Xiang, Yang. Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach. Cambridge University Press, 2010.

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32

Probabilistic Reasoning in Multiagent Systems. Cambridge University Press, 2002.

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33

Parunak, H. Van Dyke, Danny Weyns, and Fabien Michel. Environments for Multi-Agent Systems II: Second International Workshop, E4MAS 2005, Utrecht, the Netherlands, July 25, 2005, Selected Revised and Invited Papers. Springer London, Limited, 2007.

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34

Botti, Vicente, Kasper Hallenborg, Pawel Pawlewski, Javier Bajo, and Nayat Sánchez-Pi. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability : the PAAMS Collection: International Workshops of PAAMS 2015, Salamanca, Spain, June 3-4, 2015. Proceedings. Springer London, Limited, 2015.

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35

Multi-Agent Systems: Simulation and Applications. CRC, 2009.

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36

Uhrmacher, Adelinde M., and Danny Weyns. Multi-Agent Systems: Simulation and Applications. Taylor & Francis Group, 2018.

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37

Uhrmacher, Adelinde M., and Danny Weyns. Multi-Agent Systems: Simulation and Applications. Taylor & Francis Group, 2018.

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38

Hogan, James, Marcus Gallagher, and Frederic Maire. Intelligent Data Engineering and Automated Learning - IDEAL 2005: 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings. Springer London, Limited, 2005.

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39

Gallio, Nicolò. Framing Death. Bononia University Press, 2020. http://dx.doi.org/10.30682/alph02.

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"Perché siamo affascinati dalla rappresentazione della morte? Che cosa ci attrae dei contenuti audiovisivi ritenuti inaccettabili e morbosi? Partendo dalle origini del cinematografo, il volume analizza le strategie promozionali e la ricezione critica di film che in passato sono stati censurati e al tempo stesso avidamente collezionati, oggetti proibiti che sono ormai considerati prodotti di culto presso specifiche nicchie di pubblico. Uno studio che si intreccia con l’impatto che la tecnologia ha avuto sulla diffusione delle immagini di morte: dal filmato Zapruder alla nascita degli shock site

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40

Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches. Springer London, Limited, 2013.

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41

Agent-Oriented Software Engineering: Reflections on Architectures, Methodologies, Languages, and Frameworks. Springer, 2014.

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42

Agent-Oriented Software Engineering: Reflections on Architectures, Methodologies, Languages, and Frameworks. Springer, 2014.

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