NEW!
Make It Clear
Speak and Write to Persuade and Inform
Foreword by Gill Pratt
The essentials of communication for professionals, educators, students, and entrepreneurs, from organizing your thoughts to inspiring your audience.
Research
2010s
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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
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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
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Self-Aware Problem Solving, DSpace@MIT CMHI Reports, 2018
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The Partial Mental State Inducer, with Tristan Thrush, Advances in Cognitive Systems (ACS) 2018
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Inducing Schizophrenia in an Artificially Intelligent Story-Understanding System, with Pratyusha Kalluri, ACS Poster 2018
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Understanding Stories with Large-Scale Common Sense. with Bryan Williams and Henry Lieberman, Commonsense 2017
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Story-enabled Hypothetical Reasoning, with Dylan Holmes, ACS 2016
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Model-based Story Summary, Workshop on Computational Models of Narrative, 2015
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The Genesis Story Understanding and Story Telling System: A 21st Century Step toward Artificial Intelligence, CBMM Memo, 2014
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The Right Way, DSpace@MIT, 2012
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The Strong Story Hypothesis and the Directed Perception Hypothesis, DSpace@MIT, 2011 [PDF]
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Computational Models of Narrative: Review of a Workshop, with Mark A. Finlayson, and Whitman Richards, AI Magazine 2010 [PDF]
2000s
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Advancing Computational Models of Narrative, with Mark A. Finlayson, DSpace@MIT, 2009 [PDF]
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Guest Editors' Introduction: The New Frontier of Human-Level Artificial Intelligence, with Jacob S. Beal, IEEE Intelligent Systems, 2009 [PDF]
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Analogical Retrieval via Intermediate Features: The Goldilocks Hypothesis, DSpace@MIT, 2006 [PDF]
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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]
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Intermediate Features and Informational-level Constraint on Analogical Retrieval, Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 2005
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Computational Politics, National Science Foundation, 2004
1990s
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Integrating AI with sequence analysis, DSpace@MIT, 1993, [PDF]
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Repairing learned knowledge using experience, DSpace@MIT, 1990 [PDF]
1980s
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Variable precision logic, with Ryszard S. Michalski, DSpace@MIT, 1985 [PDF, version 1] [PDF, version 2]
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Learning physical descriptions from functional definitions, examples, and precedents, with Thomas Binford, Boris Katz, and Michael Lowrys, AAAI, 1983
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Learning New Principles from Precedents and Exercises, Artificial Intelligence, 1982
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Learning and Reasoning by Analogy, Commun. ACM, 1981 [PDF, Detailed Version]
1970s
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Learning by Creating and Justifying Transfer Frames, Journal Artificial Intelligence, 1977 [PDF]
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Learning by Hypothesizing and Justifying Transfer Frames, Defense Technical Information Center, 1977 [PDF]
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LAMA: a language for automatic mechanical assembly, with Tomás Lozano-Pérez, 1977 [PDF]
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AI and pattern recognition: panel discussion, ACM, 1977
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Review of Human Vision Facts, DSpace@MIT, 1973
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Heterarchy in the MIT Robot, MIT AI Lab, 1971
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Learning Structural Descriptions from Examples, Ph.D. thesis, DSpace@MIT, 1970
1960s
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Holes, DSpace@MIT, 1968
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Learning by augmenting rules and accumulating censors, DSpace@MIT, 1967
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Parsing and Generating English Using Commutative Transformations, DSpace@MIT, 1967
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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
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1970s-2019, Fall semesters: 6.034, Artificial Intelligence, Course 6, MIT
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2002-2019, Spring semesters: 6.803/6.833 Human Intelligence Enterprise, Course 6, MIT
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19**-2019, IPA, How to Speak, MIT
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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
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Computing: Reflections and the Path Forward, at the celebration of the MIT Stephen A. Schwarzman College of Computing, 2019
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AI and Future of Work: Intelligent Automation: Opportunities and Challenges, MIT Future of Work, 2017
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Computation and the Transformation of Practically Everything: History, MIT150 Symposium: Brains, Minds and Machines, 2016
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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
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Brains, Minds, and Machines: Language and Thought, MIT150 Symposium: Brains, Minds and Machines, 2016
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The Vision Story: Why Vision Research Really Matters to Me, CVPR 2015 Language and Vision Workshop
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Story Understanding, MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015
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The Story Understanding Story, Brains, Minds and Machines Summer Course, 2014
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The Road to Intelligence, A panel discussion at CBMM, 2014
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Computers with Commonsense: Artificial Intelligence at the MIT Round Table, 2009
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How to Speak, 2009
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The Eye of a Robot: Studies in Machine Vision at MIT, 1960s?
Books
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Communication (Coming up in 2019?)
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On To Java, 3rd Edition, 2001 (Online version)
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On To Smalltalk, 1997 (Online version)
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On To C++, 2nd Edition, 1995 (Online version)
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On To C, 1994 (Online version)
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LISP, 1989
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Artificial Intelligence, 3rd Edition, 1992
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Artificial Intelligence, 2nd Edition, 1984
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Artificial Intelligence, 1st Edition, 1984
Articles
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On Computing Machinery and Intelligence, Philosophical Explorations of the Legacy of Alan Turing, 2017
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Marvin L. Minsky (1927–2016), Nature, 2016 [PDF]
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The next 50 years: A personal view, DSpace@MIT, 2012 [PDF]
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Why I am Optimistic, PHW Homepage
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In honor of Marvin Minsky's contributions on his 80th birthday, AI Magazine Vol 28, 2007 [PDF]
Collections of Blog Posts
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Recent Pensées, 2016-2017
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Favorite Pensees, 2010-2018
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Arcosanti files, 2010-2013
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Slice of MIT posts, 2009-2010
In the Press
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The Storytelling Computer: Artificial intelligence needs to think like the mythical trickster, Nautilus, by M.R. O’CONNOR, Aug 8, 2019
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Professor Patrick Winston, former director of MIT’s Artificial Intelligence Laboratory, dies at 76, MIT News, 2019
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Are Robots Really Taking Over? | Full Report, Public Broadcasting Service (PBS), 2019
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Professor Patrick Winston dies at 76, The Tech, 2019
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Toil and trouble: How ‘Macbeth’ could teach computers to think, Boston Globe, 2018
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Unlocking the key to human intelligence, MIT News, 2011
Help Collect Patrick's Works
Do you know any of Patrick's writings and recordings that we have left out? Please remind us of it by filling the form on the right.
Should you have any questions or suggestions, please
contact us at contribute@memoriesofpatrickwinston.com
Written by Berthold K.P. Horn.
In the second half of 1970, after completing his Ph.D. thesis (and getting Marvin Minsky to actually read it), Patrick pulled together a group of researchers to put together a “closed loop” robotics system. That is, one that encompasses sensing, planning, and actuation that affects the objects being sensed...
... Sadly, the copy demo project was not documented well because the people working on it dispersed (post Ph.D.) and Patrick was soon roped into managing the Artificial Intelligence Laboratory, with little time for writing papers about past projects. As a result it is perhaps not as widely known as say Stanford's Shakey project, which also demonstrated visual sensing, planning and actuation.
Written by M.R. O’Connor
... Patrick Henry Winston begged to differ.
“I think Turing and Minsky were wrong,” he told me in 2017. “We forgive them because they were smart and mathematicians, but like most mathematicians, they thought reasoning is the key, not the byproduct.”
Written by Adam Conner-Simons and Rachel Gordon
Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.
