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Books on the topic 'AI-computer'

Author: Grafiati

Published: 24 June 2021

Last updated: 3 February 2022

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1

Leith, Philip. Formalism in AI and computer science. New York: E. Horwood, 1990.

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2

Meyer, John-Jules Ch. Epistemic logic for AI and computer science. Cambridge: Cambridge University Press, 1995.

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3

Ruqian, Lu. Automatic generation of computer animation: Using AI for movie animation. Berlin: Springer, 2002.

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4

Scalisi, Raffaella. Users: Storia dell'interazione uomo-macchina dai mainframe ai computer indossabili. Milano: Guerini e associati, 2001.

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5

Ruqian, Lu. Automatic generation of computer animation: Using AI for movie animation. Berlin: Springer, 2002.

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6

Songmao, Zhang, ed. Automatic generation of computer animation: Using AI for movie animation. Berlin: Springer, 2002.

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7

Knowledge and computing: A course on computer epistemology. Budapest: Central European University Press, 2010.

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8

Blondie24: Playing at the edge of AI. San Francisco, Calif: Morgan Kaufmann, 2002.

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9

Rineke, Verbrugge, ed. Teamwork in multi-agent systems: A formal approach. Hoboken, NJ: John Wiley, 2010.

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10

Bramer, M. A. (Max A.), 1948-, ed. Artificial intelligence in theory and practice: IFIP 19th World Computer Congress, TC 12: IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile. New York: Springer, 2011.

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11

Intelligent agent software engineering. Hershey, PA: Idea Group Pub., 2003.

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12

AI game development. Berkeley, Calif: New Riders, 2004.

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13

IASTED International Symposium: Applied Informatics (1985 Grindelwald, Switzerland). Applied informatics, AI '85. Edited by Hamza M. H and International Association of Science and Technology for Development. Anaheim: Acta Press, 1985.

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14

Mendel, Jerry M. Perceptual computing: Aiding people in making subjective judgments. Hoboken, N.J: John Wiley & Sons, 2010.

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15

Peter, Coxhead. Starting LISP for AI. Oxford: Blackwell Scientific, 1987.

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16

Schwab, Brian. AI game engine programming. 2nd ed. Boston, MA: Course Technology, Cengage Learning, 2009.

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17

AI game engine programming. 2nd ed. Boston, MA: Course Technology, Cengage Learning, 2009.

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18

Schwab, Brian. AI game engine programming. 2nd ed. Boston, MA: Course Technology, Cengage Learning, 2009.

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19

1955-, Yazdani Masoud, ed. Prometheus: A logic-based AI toolkit. Norwood, N.J: Ablex Pub. Corp., 1990.

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20

J, Hand D., ed. AI and computer power. London: Chapman & Hall, 1994.

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21

Meyer, J. J. Ch, and W. van der Hoek. Epistemic Logic for AI and Computer Science (Cambridge Tracts in Theoretical Computer Science). Cambridge University Press, 2004.

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22

Turk, Christopher. The Computer and the Scholar: AI and the Humanist. Abacus Press, 1988.

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23

Turk, Christopher. The computer and the scholar: AI and the humanist. Abacus Press, 1987.

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24

Sahami, Mehran. Using AI to Motivate Greater Participation in Computer Science: Papers from the AAAI Spring Symposium. AAAI Press, 2008.

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25

Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis. Packt Publishing - ebooks Account, 2017.

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26

Dalle Calcolatrici AI Computer Degli Anni Cinquanta: I Protagonisti E Le Macchine Della Storia Dell'informatica. F. Angeli, 2001.

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27

Sari, D. Ben, D. Ouazer, and C. A. Brebbia. Computer Methods in Water Resources II: Proceedings of the 2nd International Conference Held in Marrakesh, Morocco, 20-22 February 1991 : Computer Ai. Springer, 1991.

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28

(Editor), Maria C. Monard, and Jaime S. Sichman (Editor), eds. Advances in Artificial Intelligence: International Joint Conference 7th Ibero-American Conference on AI 15th Brazilian Symposium on AI IBERAMIA-SBIA 2000 ... (Lecture Notes in Computer Science). Springer, 2000.

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29

Yao, Xin. Progress in Evolutionary Computation: Ai'93 and Ai'94 Workshops on Evolutionary Computation, Melbourne, Victoria, Australia, November 16, 1993 Armidale, ... 199 (Lecture Notes in Computer Science). Springer, 1995.

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30

CIM senryaku: IBM Fujisawa Kojo no chosen. Kogyo Chosakai, 1989.

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31

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems Lecture Notes in Computer Science. Springer, 2012.

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32

(Editor), Jaime Simao Sichman, Helder Coelho (Editor), and Solange Oliveira Rezende (Editor), eds. Advances in Artificial Intelligence - IBERAMIA-SBIA 2006: 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, ... 2006 (Lecture Notes in Computer Science). Springer, 2006.

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33

(Editor), Tamas D. Gedeon, and Lance C.C. Fung (Editor), eds. AI 2003: Advances in Artificial Intelligence: 16th Australian Conference on AI, Perth, Australia, December 3-5, 2003, Proceedings (Lecture Notes in Computer ... / Lecture Notes in Artificial Intelligence). Springer, 2004.

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34

Smith, Gary. The AI Delusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824305.001.0001.

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We live in an incredible period in history. The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are useless in judging whether the unearthed patterns are sensible because computers do not think the way humans think. We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

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35

Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud. Pearson, 2019.

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36

-E, Arzen K., International Federation of Automatic Control. Technical Committee on Applications., and IFAC Workshop on Computer Software Structures Integrating AI/KBS Systems in Process Control (1994 : Lund, Sweden), eds. Computer software structures integrating AI/KBS systems in process control: IFAC workshop, Lund, Sweden, 10-12 August 1994. Oxford: Published for the International Federation of Automatic Control by Pergamon, 1994.

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37

Abramsky, S., Dov M. Gabbay, and T. S. E. Maibaum, eds. Handbook of Logic in Computer Science: Volume 5. Algebraic and Logical Structures. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780198537816.001.0001.

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Logic is now widely recognized as one of the foundational disciplines of computing, and its applications reach almost every aspect of the subject, from software engineering and hardware to programming languages and AI. The Handbook of Logic in Computer Science is a multi-volume work covering all the major areas of application of logic to theoretical computer science. The handbook comprises six volumes, each containing five or six chapters giving an in-depth overview of one of the major topics in field. It is the result of many years of cooperative effort by some of the most eminent frontline researchers in the field, and will no doubt be the standard reference work in logic and theoretical computer science for years to come. Volume 5: Algebraic and Logical Structures covers all the fundamental topics of semantics in logic and computation. The extensive chapters are the result of several years of coordinated research, and each have thematic perspective. Together, they offer the reader the latest in research work, and the book will be indispensable

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38

1935-, Lasker G. E., and International Conference on Systems Research, Informatics and Cybernetics (6th : 1992 : Baden-Baden, Germany), eds. Advances in computer cybernetics and information engineering: AI and neuron networks applications, control of robotic systems, distributed database systems ... Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 1993.

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39

Pearce, D. Logics in Ai: European Workshop Jelia '92, Berlin, Germany, September 7-10, 1992 : Proceedings (Lecture Notes in Computer Science). Springer, 1992.

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40

G, Maglogiannis Ilias, ed. Emerging artificial intelligence applications in computer engineering: Real word AI systems with applications in eHealth, HCI, information retrieval and pervasive technologies. Amsterdam: IOS Press, 2007.

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41

(Editor), Oliviero Stock, and Marco Schaerf (Editor), eds. Reasoning, Action and Interaction in AI Theories and Systems: Essays Dedicated to Luigia Carlucci Aiello (Lecture Notes in Computer Science). Springer, 2006.

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42

Barter, C. J. Ai '88: 2nd Australian Joint Artificial Intelligence Conference Adelaide, Australia, November 15-18, 1988 Proceedings (Lecture Notes in Computer Science). Springer, 1990.

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43

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 different forms of knowledge representation—and discusses the concepts of the frame problem, agents and distributed cognition, machine learning, and generalist systems.

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44

Leondes, Cornelius T. Optimization Techniques (Neural Network Systems Techniques and Applications). Academic Press, 1998.

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45

Our final invention: Artificial intelligence and the end of the human era. Thomas Dunne Books, 2013.

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46

Leondes, Cornelius T. Optimization Techniques (Neural Network Systems Techniques and Applications). Academic Press, 1998.

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47

(Editor), José Luis Vicedo, Particio Martínez-Barco (Editor), Rafael Munoz (Editor), and Maximiliano Saiz Noeda (Editor), eds. Advances in Natural Language Processing: 4th International Conference, EsTAL 2004, Alicante, Spain, October 20-22, 2004. Proceedings (Lecture Notes in Computer Science). Springer, 2004.

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48

Toulouse, France) Ecp'9 (1997, Sam Steel, and Rachid Alami. Recent Advances in Ai Planning: 4th European Conference, Ecp '97, Toulouse, France, September 24-26, 1997 : Proceedings (Lecture Notes in Computer Science). Springer, 1997.

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49

(Editor), Christian Freksa, Michael Kohlhase (Editor), and Kerstin Schill (Editor), eds. KI 2006: 29th Annual German Conference on AI, KI 2006, Bremen, Germany, June 14-17, 2006, Proceedings (Lecture Notes in Computer Science). Springer, 2007.

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50

Natale, Simone. Deceitful Media. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190080365.001.0001.

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Artificial intelligence (AI) is often discussed as something extraordinary, a dream—or a nightmare—that awakens metaphysical questions on human life. Yet far from a distant technology of the future, the true power of AI lies in its subtle revolution of ordinary life. From voice assistants like Siri to natural language processors, AI technologies use cultural biases and modern psychology to fit specific characteristics of how users perceive and navigate the external world, thereby projecting the illusion of intelligence. Integrating media studies, science and technology studies, and social psychology, Deceitful Media examines the rise of artificial intelligence throughout history and exposes the very human fallacies behind this technology. Focusing specifically on communicative AIs, Natale argues that what we call “AI” is not a form of intelligence but rather a reflection of the human user. Using the term “banal deception,” he reveals that deception forms the basis of all human-computer interactions rooted in AI technologies, as technologies like voice assistants utilize the dynamics of projection and stereotyping as a means for aligning with our existing habits and social conventions. By exploiting the human instinct to connect, AI reveals our collective vulnerabilities to deception, showing that what machines are primarily changing is not other technology but ourselves as humans. Deceitful Media illustrates how AI has continued a tradition of technologies that mobilize our liability to deception and shows that only by better understanding our vulnerabilities to deception can we become more sophisticated consumers of interactive media.

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