The Online Books Page

Soft computing

Here are entered works on a group of technologies and methods, including knowledge-based systems, neural networks, fuzzy set theory, genetic algorithms, and probabilistic and evidential approaches, that mimic the human ability to make decisions in an environment of uncertainty and imprecision. Works on computing that intelligently trades off implementation, storage, and/or result accuracy for performance or energy gains are entered under Approximate computing.

See also what's at Wikipedia, your library, or elsewhere.

• Electronic data processing

• Computational intelligence

• Expert systems (Computer science)
• Neural networks (Computer science)

• Cognitive computing

• Artificial Intelligence and Responsive Optimization (second edition, 2003), by Mohammad Khosnevisan, Sukanto Bhattacharya, and Florentin Smarandache (PDF at UNM)
• Expert Systems in Prolog, by Dennis Merritt (HTML with commentary at amzi.com)

• Masked by Trust: Bias in Library Discovery (Sacramento: Litwin Books, 2019), by Matthew Reidsma (PDF with commentary at reidsrow.com)

• Masked by Trust: Bias in Library Discovery (Sacramento: Litwin Books, 2019), by Matthew Reidsma (PDF with commentary at reidsrow.com)

• Elasticsearch: The Definitive Guide (Creative Commons edition; c2015), by Clinton Gormley and Zachary Tong (HTML with commentary at elastic.co)
• Untangling the Web: A Guide to Internet Research (unclassified version, slightly redacted; Fort Meade, MD: Center for Digital Content, National Security Agency, 2007), by Robyn Winder, contrib. by Charlie Speight (PDF at nsa.gov)
• 55 Ways to Have Fun With Google: A Cabinet of Search Engine Curiosities, Riddles, Games, and a Little Bit of Usefulness (2006), by Philipp Lenssen (multiple formats with commentary at 55fun.com)

• An Introduction to Neural Networks (eighth edition, 1996), by Ben Kröse and Patrick van der Smagt (PDF in France)
• Graph Representation Learning (prepublication version, 2020), by William L. Hamilton (PDF at McGill)
• Machine Learning, Neural and Statistical Classification, ed. by Donald Michie, D. J. Spiegelhalter, and Charles C. Taylor (PDF and gzipped Postscript in the UK)

• Bayesian Analysis (2006-) (full serial archives)

• Voice Communication Between Humans and Machines (1994), ed. by David B. Roe and Jay G. Wilpon (page images with commentary at NAP)
• Speech Understanding Research (final technical report; Menlo Park, CA: Stanford Research Institute, 1976), ed. by Donald E. Walker (PDF at dtic.mil)
• The Dragon NaturallySpeaking Guide: Speech Recognition Made Fast and Simple (second edition, 2000), by Dan Newman (PDF files at sayican.com)

• Document Image Analysis (electronic executive briefing edition, from authors' original files; first published 1997), by Lawrence O'Gorman and Rangachar Kasturi (PDF at usf.edu)

Items below (if any) are from related and broader terms.

• The Elements of Statistical Learning: Data Mining, Inference, and Prediction (second edition, 2009), by Trevor Hastie, Robert Tibshirani, and J. H. Friedman (PDF with commentary at Stanford)

• Artificial Intelligence: Foundations of Computational Agents (second edition, 2017), by David L. Poole and Alan K. Mackworth (illustrated HTML with commentary at artintinfo)

• Data Science at the Command Line (free online edition; originally published 2014), by Jeroen Janssens (illustrated HTML at datascienceatthecommandline.com)
• Evolving the High Performance Computing and Communications Initiative to Support the Nation's Information Infrastructure (1995), by National Research Council Computer Science and Telecommunications Board (page images with commentary at NAP)
• Information, Randomness and Incompleteness (second edition, 1990), by Gregory J. Chaitin (Postscript at Maine)
• Engaging Researchers with Data Management: The Cookbook (Cambridge, UK: Open Book Publishers, c2019), by Connie Clare, Maria J. Cruz, Elli Papadopoulou, James Savage, Marta Teperek, Yan Wang, Iza Witkowska, and Joanne Yeomans (multiple formats with commentary at Open Book Publishers)
• An Introduction to the Theory of Computation (c1989), by Eitan Gurari (illustrated HTML at Wayback Machine)
• How to Design Programs (second edition, c2014), by Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, and Shriram Krishnamurthi (HTML at neu.edu)
• How to Design Programs: An Introduction to Programming and Computing (electronic version, 2002), by Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, and Shriram Krishnamurthi (illustrated HTML with commentary at htdp.org)
• Introduction to Computing: Explorations in Language, Logic, and Machines (2011), by David Evans (PDF and HTML with commentary at computingbook.org)
• The Best of Creative Computing, ed. by David H. Ahl and Burchanel Green
  • volume 1 (1976): page images at atariarchives.org
  • volume 2 (1977): page images at atariarchives.org
  • volume 3 (1980): page images at atariarchives.org
• Ultimate Computing: Biomolecular Consciousness and Nanotechnology (1987), by Stuart R. Hameroff (HTML and PDF with commentary at quantumconsciousness.org)

• Open Distributed Systems (1996), by Jon Crowcroft
  • HTML in the UK
  • PDF in the UK
• Pro Git (second editions, 2014), by Scott Chacon (HTML with commentary at git-scm.com)
• Security Engineering: A Guide to Building Dependable Distributed Systems (second edition, 2008), by Ross Anderson (PDF files with commentary in the UK)
• The Tower and the Cloud: Higher Education in the Age of Cloud (c2008), ed. by Richard N. Katz (PDF and HTML files with commentary at Educause)

• Good Data (Theory on Demand #29; Amsterdam: Institute for Network Cultures, 2019), ed. by Angela Daly, S. Kate Devitt, and Monique Mann (multiple formats with commentary at networkcultures.org)

• Good Data (Theory on Demand #29; Amsterdam: Institute for Network Cultures, 2019), ed. by Angela Daly, S. Kate Devitt, and Monique Mann (multiple formats with commentary at networkcultures.org)

• Theory of Computing (2005-) (full serial archives)
• Creative Computing, ed. by David H. Ahl (partial serial archives)
• Computerworld (partial serial archives)
• Compute! (partial serial archives)

• The Network Turn: Changing Perspectives in the Humanities (Cambridge, UK: Cambridge University Press, 2020), by Ruth Ahnert, Sebastian E. Ahnert, Catherine Nicole Coleman, and Scott Weingart (illustrated HTML and PDF with commentary at Cambridge University Press)
• Trapped in the Net: The Unanticipated Consequences of Computerization, by Gene I. Rochlin (HTML at Princeton)

• AI for Everyone? Critical Perspectives (London: University of Westminster Press, c2021), ed. by Pieter Verdegem (multiple formats with commentary at University of Westminster Press)
• Artificial Intelligence and Games (2018), by Georgios N. Yannakakis and Julian Togelius (PDF with commentary at gameaibook.org)
• Artificial Intelligence and Responsive Optimization (second edition, 2003), by Mohammad Khosnevisan, Sukanto Bhattacharya, and Florentin Smarandache (PDF at UNM)
• Are We Spiritual Machines? Ray Kurzweil vs. the Critics of Strong A.I. (c2002), ed. by Jay W. Richards, contrib. by Ray Kurzweil, John R. Searle, Michael J. Denton, William A. Dembski, Thomas S. Ray, and George F. Gilder (at kurzweilai.net)
• Artificial Intelligence (third edition, reprinted with corrections; Reading, MA et al.: Addison-Wesley Pub. Co., 1993), by Patrick Henry Winston (PDF at MIT)
• The Age of Intelligent Machines (c1992), by Ray Kurzweil (at kurzweilai.net)
• The Boundaries of Humanity: Humans, Animals, Machines (Berkeley: University of California Press, 1991), ed. by James J. Sheehan and Morton Sosna (HTML at UC Press)
• Artificial Intelligence Through Prolog (1988), by Neil C. Rowe (HTML at nps.edu)
• How Mobile Robots can Self-Organise a Vocabulary (Berlin: Language Science Press, c2015), by Paul Vogt
  • PDF wih commentary at langsci-press.org
  • PDF at OAPEN
• Applications of Robotics and Artificial Intelligence to Reduce Risk and Improve Effectiveness: A Study for the United States Army (1983), by National Research Council Commission on Engineering and Technical Systems (page images with commentary at NAP)
• When Things Start to Think (c1999), by Neil A. Gershenfeld (HTML with commentary at kurzweilai.net)
• Elements of Robotics (Cham: Springer Open, c2018), by M. Ben-Ari and Francesco Mondada (PDF and EPub with commentary at EPFL and Springer)
• Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp (c1992), by Peter Norvig (multiple formats with commentary at Github)
• From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots (Edmonton: AU Press, c2010), by Michael Robert William Dawson, Brian Dupuis, and Michael Wilson (PDF with commentary at AU Press)
• The Computer Revolution in Philosophy: Philosophy, Science and Models of Mind (1978, with added notes and corrections), by Aaron Sloman (HTML and PDF with commentary in the UK)
• The Origin and Its Meaning, by Roger Ellman (PDF files at the-origin.org)

More items available under broader and related terms at left.