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]

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

1990s

Integrating AI with sequence analysis, DSpace@MIT, 1993, [PDF]
Repairing learned knowledge using experience, DSpace@MIT, 1990 [PDF]

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, with Thomas Binford, Boris Katz, and Michael Lowrys, AAAI, 1983
Learning New Principles from Precedents and Exercises, Artificial Intelligence, 1982
Learning and Reasoning by Analogy, Commun. ACM, 1981 [PDF, Detailed Version]

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

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

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

Patrick Winston and the MIT AI Lab Copy Demo (1970)

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.

The Storytelling Computer:
Artificial intelligence needs to think like the mythical trickster.

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.”

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

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.

1943–2019

Patrick Henry Winston, our friend, colleague, teacher, and mentor, lives on forever in us.