A Memorial to Patrick H. Winston

Research

2010s​

• The Genesis Enterprise: Taking Artificial Intelligence to another Level via a Computational Account of Human Story Understanding, with Dylan Holmes, DSpace@MIT CMHI Reports, 2018

• Learning by Asking Questions and Learning by Aligning Stories: How a Story-Grounded Problem Solver can Acquire Knowledge, with Zhutian Yang, DSpace@MIT CMHI Reports, 2018

• Self-Aware Problem Solving, DSpace@MIT CMHI Reports, 2018

• The Partial Mental State Inducer, with Tristan Thrush, Advances in Cognitive Systems (ACS) 2018

• Inducing Schizophrenia in an Artificially Intelligent Story-Understanding System, with Pratyusha Kalluri, ACS Poster 2018

• Understanding Stories with Large-Scale Common Sense. with Bryan Williams and Henry Lieberman, Commonsense 2017

• Character-Building Stories, with Dylan Holmes, ACS 2017,

• Story-enabled Hypothetical Reasoning, with Dylan Holmes, ACS 2016

• Model-based Story Summary, Workshop on Computational Models of Narrative, 2015

• The Genesis Story Understanding and Story Telling System: A 21st Century Step toward Artificial Intelligence, CBMM Memo, 2014

• The Right Way, DSpace@MIT, 2012

• The Strong Story Hypothesis and the Directed Perception Hypothesis, DSpace@MIT, 2011 [PDF]

• Computational Models of Narrative: Review of a Workshop, with Mark A. Finlayson, and Whitman Richards, AI Magazine 2010 [PDF]

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2000s​

• Advancing Computational Models of Narrative, with Mark A. Finlayson, DSpace@MIT, 2009 [PDF]

• Guest Editors' Introduction: The New Frontier of Human-Level Artificial Intelligence, with Jacob S. Beal, IEEE Intelligent Systems, 2009 [PDF]

• Analogical Retrieval via Intermediate Features: The Goldilocks Hypothesis, DSpace@MIT, 2006 [PDF]

• Achieving Human-Level Intelligence through Integrated Systems and Research: Introduction to This Special Issue, with Nicholas L. Cassimatis, Erik T. Mueller, AI Magazine Vol 27, 2006 [PDF] 

• Intermediate Features and Informational-level Constraint on Analogical Retrieval, Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 2005

• Computational Politics, National Science Foundation, 2004

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1990s​

• Integrating AI with sequence analysis,  DSpace@MIT, 1993, [PDF] 

• Repairing learned knowledge using experience,  DSpace@MIT, 1990 [PDF] 

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1980s​

• Variable precision logic, with Ryszard S. Michalski, DSpace@MIT, 1985 [PDF, version 1] [PDF, version 2]

• Learning physical descriptions from functional definitions, examples, and precedents, AAAI, 1983

• Learning New Principles from Precedents and Exercises, Artificial Intelligence, 1982

• Learning and Reasoning by Analogy, Commun. ACM, 1981 [PDF, Detailed Version]

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1970s​

• Learning by Creating and Justifying Transfer Frames, Journal Artificial Intelligence, 1977 [PDF]

• Learning by Hypothesizing and Justifying Transfer Frames, Defense Technical Information Center, 1977 [PDF]

• LAMA: a language for automatic mechanical assembly, with Tomás Lozano-Pérez, 1977 [PDF]

• AI and pattern recognition: panel discussion, ACM, 1977

• Review of Human Vision Facts, DSpace@MIT, 1973

• Heterarchy in the MIT Robot, MIT AI Lab, 1971

• Learning Structural Descriptions from Examples, Ph.D. thesis, DSpace@MIT, 1970

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1960s​

• Holes, DSpace@MIT, 1968

• Learning by augmenting rules and accumulating censors, DSpace@MIT, 1967

• Parsing and Generating English Using Commutative Transformations, DSpace@MIT, 1967

• Learning new principles from precedents and exercises, DSpace@MIT, 1963

1978 - A young Patrick, in his ever present rock-star style, demonstrating his arch learning program and the idea of Learning from Examples and Near Misses

2011 - Professor Winston talked about teaching computers to understand stories

Teaching

• 1970s-2019, Fall semesters: 6.034, Artificial Intelligence, Course 6, MIT

• 2002-2019, Spring semesters: 6.803/6.833 Human Intelligence Enterprise, Course 6, MIT

• 19**-2019, IPA, How to Speak, MIT

• 4-7 June 2001: Artificial Intelligence, ArsDigita University

2001 - Professor Winston taught AI at ArsDigita University.

Lecture 1: Rule-based systems and Knowledge Engineering
Lecture 2: Searching and Coloring
Lecture 3: Nearest Neighbors, Identification Trees
Lecture 4: Neural Nets, Back Propagation, Support Vector Machines

Talks

• Computing: Reflections and the Path Forward, at the celebration of the MIT Stephen A. Schwarzman College of Computing, 2019

• How to Speak, 2018 [PDF]

• AI and Future of Work: Intelligent Automation: Opportunities and Challenges, MIT Future of Work, 2017

• Computation and the Transformation of Practically Everything: History, MIT150 Symposium: Brains, Minds and Machines, 2016

• Keynote Panel: The Golden Age: A Look at the Original Roots of Artificial Intelligence, Cognitive Science, and Neuroscience, MIT150 Symposium: Brains, Minds and Machines, 2016

• Brains, Minds, and Machines: Language and Thought, MIT150 Symposium: Brains, Minds and Machines, 2016

• The Vision Story: Why Vision Research Really Matters to Me, CVPR 2015 Language and Vision Workshop

• Story Understanding, MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015

• The Story Understanding Story, Brains, Minds and Machines Summer Course, 2014

• The Road to Intelligence, A panel discussion at CBMM, 2014

• Computers with Commonsense: Artificial Intelligence at the MIT Round Table, 2009

• How to Speak, 2009

• MIT Latke-Hamentashen Debate - Patrick Winston, 2008

• The Eye of a Robot: Studies in Machine Vision at MIT, 1960s?

Books

• Communication (Coming up in 2019?)

• On To Java, 3rd Edition, 2001 (Online version)

• On To Smalltalk, 1997 (Online version)

• On To C++, 2nd Edition, 1995 (Online version)

• On To C, 1994 (Online version)

• LISP, 1989

• Artificial Intelligence, 3rd Edition, 1992

• Artificial Intelligence, 2nd Edition, 1984

• Artificial Intelligence, 1st Edition, 1984

Articles

• On Computing Machinery and Intelligence, Philosophical Explorations of the Legacy of Alan Turing, 2017 

• Marvin L. Minsky (1927–2016), Nature, 2016 [PDF]

• The next 50 years: A personal view, DSpace@MIT, 2012 [PDF]

• Why I am Optimistic, PHW Homepage

• In honor of Marvin Minsky's contributions on his 80th birthday, AI Magazine Vol 28, 2007 [PDF]

Collections of Blog Posts

• Recent Pensées, 2016-2017

• Favorite Pensees, 2010-2018

• Arcosanti files, 2010-2013

• Slice of MIT posts, 2009-2010

In the Press

• The Storytelling Computer: Artificial intelligence needs to think like the mythical trickster, Nautilus, by M.R. O’CONNOR, Aug 8, 2019

• Professor Patrick Winston, former director of MIT’s Artificial Intelligence Laboratory, dies at 76, MIT News, 2019

• Professor Patrick Winston dies at 76, The Tech, 2019

• Toil and trouble: How ‘Macbeth’ could teach computers to think, Boston Globe, 2018

• Unlocking the key to human intelligence, MIT News, 2011