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Marvin Minsky, artificial intelligence,The Society of Mind /The Emotion Machine: ( )

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Marvin Minsky

photo: wikipediaFULL SCREEN



Marvin Minsky honored for lifetime achievements in artificial intelligence

The MIT professor emeritus earns the BBVA Foundation Frontiers of Knowledge Award for his pioneering work and mentoring role in the field of artificial intelligence.


Ellen Hoffman, Media Lab
January 17, 2014


MIT Media Lab professor emeritus Marvin Minsky, 86, a pioneer in the field of artificial intelligence, has won the BBVA Foundation Frontiers of Knowledge Award in the information and communications technologies category.

The BBVA Foundation cited his influential role in defining the field of artificial intelligence, and in mentoring many of the leading minds in today’s artificial intelligence community. The award also recognizes his contributions to the fields of mathematics, cognitive science, robotics, and philosophy.

In learning of the award, which brings a prize of $540,000, Minsky reconfirmed his conviction that one day we will develop machines that will be as smart as humans. But he added “how long this takes will depend on how many people we have working on the right problems. Right now there is a shortage of both researchers and funding.”

Minsky joined the Department of Electrical Engineering and Computer Science faculty in 1958, and co-founded the Artificial Intelligence Laboratory (now the Computer Science and Artificial Intelligence Laboratory) the following year. In 1985, he became a founding member of the Media Lab, where he was named the Toshiba Professor of Media Arts and Sciences, and where he continues to teach and mentor.

Commenting on the award, Nicholas Negroponte, co-founder and chairman emeritus of the Media Lab, says, “Marvin’s genius is accompanied by extreme kindness and humor. He listens well, and is oracle-like in his capability to debug an enormously complex situation with a simple, short phrase. Through the 47 years we have known each other, he has taught me to tackle the big problems.”

Patrick Winston, the Ford Professor of Artificial Intelligence and Computer Science and former director of MIT’s Artificial Intelligence Lab, says, “One day, when I was wondering what I wanted to do, I went to one of Marvin's lectures, invited by a friend. At the end, I said to myself, I want to do what he does. And ever since, that is what I have done.”

Minsky views the brain as a machine whose functioning can be studied and replicated in a computer, which would teach us, in turn, to better understand the human brain and higher-level mental functions. He has been recognized for his work focusing on how we might endow machines with common sense — the knowledge humans acquire every day through experience. How, for example, do we teach a sophisticated computer that to drag an object on a string, you need to pull not push — a concept easily mastered by a two-year-old child.

Minsky’s book, “The Society of Mind” (1985) is considered the seminal work on exploring intellectual structure and function, and for understanding the diversity of the mechanisms interacting in intelligence and thought. Other achievements include building the first neural network simulator (SNARC), as well as mechanical hands and other robotic devices. Minsky is the inventor of the earliest confocal scanning microscope. He was also involved in the inventions of the first "turtle," or cursor, for the LOGO programming language (with Seymour Papert), and the "Muse" synthesizer for musical variations (with Ed Fredkin). His most recent book, “The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind,” was published in 2006.

Minsky has received numerous awards, among them the ACM Turing Award, the Japan Prize, the Royal Society of Medicine Rank Prize (for Optoelectronics) and the Optical Society (OSA) R.W. Wood Prize.

Minsky graduated from Harvard University in 1950, and received his PhD from Princeton University in 1954. He was appointed a Harvard University Junior Fellow from 1954 to 1957.

The BBVA Foundation was established by the BBVA Group, a global financial service group based in Spain. The Frontiers of Knowledge Awards, established in 2008, honor achievements in the arts, science, and technology. They focus on contributions of lasting impact for their originality, theoretical significance and ability to push back the frontiers of the known world.

*****
這本的確是經典.二十幾年前讀完它時還相信它是本好的散文.我比較有興趣的是它(AI大藍圖)出版至今對業界的影響
Marvin Minsky (馬文·閔斯基 -- 麻省理工學院人工智慧實驗室的創始人之一, 美國工程院和美國科學院院士, 美國人工智慧領域科學家) 的經點鉅著 The Society of Mind上線

The Society of Mind

Marvin Minsky
[homepage]

prologue

1 Building blocks

1.1 The agents of the mind

1.2 The mind and the brain

1.3 The society of mind

1.4 The world of blocks

2 Wholes and parts

2.1 Components and connections

2.2 Novelists and reductionists

2.3 Parts and wholes

2.4 Holes and parts

2.5 easy things are hard

2.6 confusion

2.7 Are people machines?

3 conflict and compromise

3.1 conflict

3.2 Noncompromise

3.3 hierarchies

3.4 Heterarchies

3.5 destructiveness

3.6 Pain and pleasure simplified

4 the self

4.1 the self

4.2 one self or many?

4.3 the soul

4.4 the conservative self

4.5 exploitation

4.6 self-control

4.7 long-range plans

4.8 ideals

5 individuality

5.1 circular causality

5.2 unanswerable questions

5.3 the remote-control self

5.4 personal identity

5.5 fashion and style

5.6 traits

5.7 permanent identity

6 insight and introspection

6.1 consciousness

6.2 signals and signs

6.3 thought-experiments

6.4 B-Brains

6.5 Frozen reflection

6.6 momentary mental time

6.7 the causal now

6.8 thinking without thinking

6.9 heads in the clouds

6.10 worlds out of mind

6.11 in-sight

6.12 internal communication

6.13 self-knowledge is dangerous

7 problems and goals

7.1 intelligence

7.2 uncommon sense

7.3 the puzzle principle

7.4 problem solving

7.5 learning and memory

7.6 reinforcement and reward

7.7 local responsibility

7.8 difference-engines

7.9 intentions

7.10 genius

8 a theory of memory

8.1 k-lines: a theory of memory

8.2 re-membering

8.3 mental states and dispositions

8.4 partial mental states

8.5 level-bands

8.6 levels

8.7 fringes

8.8 societies of memories

8.9 knowledge-trees

8.10 levels and classifications

8.11 layers of societies

9 summaries

9.1 wanting and liking

9.2 gerrymandering

9.3 learning from failure

9.4 enjoying discomfort

10 papert's principle

10.1 piaget's experiments

10.2 reasoning about amounts

10.3 priorities

10.4 papert's principle

10.5 the society-of-more

10.6 about piaget's experiments

10.7 the concept of concept

10.8 education and development

10.9 learning a hierarchy

11 the shape of space

11.1 seeing red

11.2 the shape of space

11.3 nearnesses

11.4 innate geography

11.5 sensing similarities

11.6 the centered self

11.7 predestined learning

11.8 half-brains

11.9 dumbbell theories

12 learning meaning

12.1 a block-arch scenario

12.2 learning meaning

12.3 uniframes

12.4 structure and function

12.5 the function of structures

12.6 accumulation

12.7 accumulation strategies

12.8 problems of disunity

12.9 the exception principle

12.10 how towers work

12.11 how causes work

12.12 meaning and definition

12.13 bridge-definitions

13 seeing and believing

13.1 reformulation

13.2 boundaries

13.3 seeing and believing

13.4 children's drawing-frames

13.5 learning a script

13.6 the frontier effect

13.7 duplications

14 reformulation

14.1 using reformulation

14.2 means and ends

14.3 seeing squares

14.4 brainstorming

14.5 the investment principle

14.6 parts and holes

14.7 the power of negative thinking

14.8 the interaction-square

15 Consciousness and memory

15.1 momentary mental state

15.2 self-examination

15.3 memory

15.4 memories of memories

15.5 the immanence illusion

15.6 many kinds of memory

15.7 memory rearrangements

15.8 anatomy of memory

15.9 interruption and recovery

15.10 losing track

15.11 the recursion principle

16 emotion

16.1 emotion

16.2 mental growth

16.3 mental proto-specialists

16.4 cross-exclusion

16.5 avalanche effects

16.6 motivation

16.7 exploitation

16.8 stimulus vs. simulus

16.9 infant emotions

16.10 adult emotions

17 development

17.1 sequences of teaching-selves

17.2 attachment-learning

17.3 attachment simplifies

17.4 functional autonomy

17.5 developmental stages

17.6 prerequisites for growth

17.7 genetic timetables

17.8 attachment-images

17.9 different spans of memories

17.10 intellectual trauma

17.11 intellectual ideals

18 reasoning

18.1 must machines be logical?

18.2 chains of reasoning

18.3 chaining

18.4 logical chains

18.5 strong arguments

18.6 magnitude from multitude

18.7 what is a number?

18.8 mathematics made hard

18.9 robustness and recovery

19 Words and ideas

19.1 the roots of intention

19.2 the language-agency

19.3 words and ideas

19.4 objects and properties

19.5 polynemes

19.6 recognizers

19.7 weighing evidence

19.8 generalizing

19.9 recognizing thoughts

19.10 closing the ring

20 context and ambiguity

20.1 ambiguity

20.2 negotiating ambiguity

20.3 visual ambiguity

20.4 locking-in and weeding-out

20.5 micronemes

20.6 the nemeic spiral

20.7 connections

20.8 connection lines

20.9 distributed memory

21 trans-frames

21.1 the pronouns of the mind

21.2 pronomes

21.3 trans-frames

21.4 communication among agents

21.5 automatism

21.6 trans-frame pronomes

21.7 generalizing with pronomes

21.8 attention

22 expression

22.1 pronomes and polynemes

22.2 isonomes

22.3 de-specializing

22.4 learning and teaching

22.5 inference

22.6 expression

22.7 causes and clauses

22.8 interruptions

22.9 pronouns and references

22.10 verbal expression

22.11 creative expression

23 comparisons

23.1 a world of differences

23.2 differences and duplicates

23.3 time blinking

23.4 the meanings of more

23.5 foreign accents

24 frames

24.1 the speed of thought

24.2 frames of mind

24.3 How trans-frames work

24.4 default assumptions

24.5 nonverbal reasoning

24.6 direction-nemes

24.7 picture-frames

24.8 how picture-frames work

24.9 recognizers and memorizers

25 frame arrays

25.1 one frame at a time?

25.2 frame-arrays

25.3 the stationary world

25.4 the sense of continuity

25.5 expectations

25.6 the frame idea

26 language-frames

26.1 understanding words

26.2 understanding stories

26.3 sentence-frames

26.4 a party-frame

26.5 story-frames

26.6 sentence and nonsense

26.7 frames for nouns

26.8 frames for verbs

26.9 language and vision

26.10 learning language

26.11 grammar

26.12 coherent discourse

27 censors and jokes

27.1 demons

27.2 suppressors

27.3 censors

27.4 exceptions to logic

27.5 jokes

27.6 humor and censorship

27.7 laughter

27.8 good humor

28 the mind and the world

28.1 the myth of mental energy

28.2 magnitude and marketplace

28.3 quantity and quality

28.4 mind over matter

28.5 the mind and the world

28.6 minds and machines

28.7 individual identities

28.8 overlapping minds

29 the realms of thought

29.1 the realms of thought

29.2 several thoughts at once

29.3 paranomes

29.4 cross-realm correspondences

29.5 the problem of unity

29.6 autistic children

29.7 likenesses and analogies

29.8 metaphors

30 mental models

30.1 knowing

30.2 knowing and believing

30.3 mental models

30.4 world models

30.5 knowing ourselves

30.6 freedom of will

30.7 the myth of the third alternative

30.8 intelligence and resourcefulness

appendix

postscript

glossary


The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind [1] is a book by cognitive scientist Marvin Lee Minsky. The book is a sequel to Minsky's earlier book Society of Mind.
Minsky argues that emotions are different ways to think that our mind uses to increase our intelligence. He challenges the distinction between emotions and other kinds of thinking. His main argument is that emotions are "ways to think" for different "problem types" that exist in the world. The brain has rule-based mechanism (selectors) that turns on emotions to deal with various problems. The book reviews the accomplishments of AI, what and why it is complicated to accomplish in terms of modeling how human beings behave, how they think, how they experience struggles and pleasures.[2]

Reviews[edit]

In a book review for the Washington Postneurologist Richard Restak states that:[3]
Minsky does a marvelous job parsing other complicated mental activities into simpler elements. ... But he is less effective in relating these emotional functions to what's going on in the brain.

Outline[edit]

Minsky outlines the book as follows:[citation needed]
  1. "We are born with many mental resources."
  2. "We learn from interacting with others."
  3. "Emotions are different Ways to Think."
  4. "We learn to think about our recent thoughts."
  5. "We learn to think on multiple levels."
  6. "We accumulate huge stores of commonsense knowledge."
  7. "We switch among different Ways to Think."
  8. "We find multiple ways to represent things."
  9. "We build multiple models of ourselves."

Other reviews[edit]

Author's Prepublication Draft[edit]

External links[edit]

References[edit]

  1. Jump up^ Minsky, Marvin (2006). The Emotion Machine. Simon & Schuster. ISBN 0-7432-7663-9.
  2. Jump up^ "The Emotion Machine". Book review & textbook buyback site BlueRectangle.com. Retrieved 2010-06-30.
  3. Jump up^ Mind Over Matter, Richard Restak, Washington Post

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