The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mindby Marvin Minsky
Our minds are working all the time, but we rarely stop to think about how they work. The human mind has many different ways to think, says Marvin Minsky, the leading figure in artificial intelligence and computer science. We use these different ways of thinking in different circumstances, and some of them we don't even associate with thinking. For example,/b>
Our minds are working all the time, but we rarely stop to think about how they work. The human mind has many different ways to think, says Marvin Minsky, the leading figure in artificial intelligence and computer science. We use these different ways of thinking in different circumstances, and some of them we don't even associate with thinking. For example, emotions, intuitions, and feelings are just other forms of thinking, according to Minsky. In his groundbreaking new work, The Emotion Machine, Minsky shows why we should expand our ideas about thinking and how thinking itself might change in the future.
The Emotion Machine explains how our minds work, how they progress from simple kinds of thought to more complex forms that enable us to reflect on ourselves -- what most people refer to as consciousness, or self-awareness. Unlike other broad theories of the mind, this book proceeds in a step-by-step fashion that draws on detailed and specific examples. It shows that thinking -- even higher-level thinking -- can be broken down into a series of specific actions. From emotional states to goals and attachments and on to consciousness and awareness of self, we can understand the process of thinking in all its intricacy. And once we understand thinking, we can build machines -- artificial intelligences -- that can assist with our thinking, machines that can follow the same thinking patterns that we follow and that can think as we do. These humanlike thinking machines would also be emotion machines -- just as we are.
This is a brilliant book that challenges many ideas about thinking and the mind. It is as insightful and provocative as it is original, the fruit of a lifetime spent thinking about thinking.
Minsky does a marvelous job parsing other complicated mental activities into simpler elements. He discusses such topics as common sense, thinking and the self andmost important for this bookemotional states, which are "not especially different from the processes that we call 'thinking.' "
But he is less effective in relating these emotional functions to what's going on in the brain. Minsky says his book "does not discuss most current beliefs about how our brains work" because our knowledge about the brain soon becomes outdated. But then how can one draw meaningful correlations between brains and machines?
The Washington Post
"Minsky has lots of ideas, and nearly 400 pages can barely contain them." -- William Kowinski, San Francisco cCronicle
- Simon & Schuster
- Publication date:
- Product dimensions:
- 6.20(w) x 9.60(h) x 1.30(d)
Read an Excerpt
The Emotion MachineCommonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
By Marvin Minsky
Simon & SchusterCopyright © 2006 Marvin Minsky
All right reserved.
IntroductionNora Joyce, to her husband James: "Why don't you write books people can read?"
I hope this book will be useful to everyone who seeks ideas about how human minds might work, or who wants suggestions about better ways to think, or who aims toward building smarter machines. It should be useful to readers who want to learn about the field of Artificial Intelligence. It should also be of interest to psychologists, neurologists, computer scientists, and philosophers because it develops many new ideas about the subjects those specialists struggle with.
We all admire great accomplishments in the sciences, arts, and humanities - but we rarely acknowledge how much we achieve in the course of our everyday lives. We recognize the things we see, we understand the words we hear, and we remember things that we've experienced so that, later, we can apply what we've learned to other kinds of problems and opportunities.
We also do a remarkable thing that no other creatures seem able to do: whenever our usual ways to think fail, we can start to think about our thoughts themselves - and if this "reflective thinking" shows where we went wrong, that can help us to invent new and more powerful ways to think. However, we still know very little about how our brains manage to do such things. Howdoes imagination work? What are the causes of consciousness? What are emotions, feelings, and thoughts? How do we manage to think at all?
Contrast this with the progress we've seen toward answering questions about physical things. What are solids, liquids, and gases? What are colors, sounds, and temperatures? What are forces, stresses, and strains? What is the nature of energy? Today, almost all such mysteries have been explained in terms of very small numbers of simple laws - for example, the equations discovered by such physicists as Newton, Maxwell, Einstein, and Schrödinger.
So naturally, psychologists tried to imitate physicists - by searching for compact sets of laws to explain what happens inside our brains. However, no such simple set of laws exists, because every brain has hundreds of parts, each of which evolved to do certain particular kinds of jobs; some of them recognize situations, others tell muscles to execute actions, others formulate goals and plans, and yet others accumulate and use enormous bodies of knowledge. And though we don't yet know enough about how each of those brain-centers works, we do know their construction is based on information that is contained in tens of thousands of inherited genes, so that each brain-part works in a way that depends on a somewhat different set of laws.
Once we recognize that our brains contain such complicated machinery, this suggests that we need to do the opposite of what those physicists did: instead of searching for simple explanations, we need to find more complicated ways to explain our most familiar mental events. The meanings of words like "feelings," "emotions," or "consciousness" seem so natural, clear, and direct to us that we cannot see how to start thinking about them. However, this book will argue that none of those popular psychology words refers to any single, definite process; instead each of those words attempts to describe the effects of large networks of processes inside our brains. For example, Chapter 4 will demonstrate that "consciousness" refers to more than twenty different such processes!
It might appear to make everything worse, to change some things that looked simple at first into problems that now seem more difficult. However, on a larger scale, this increase in complexity will actually make our job easier. For, once we split each old mystery into parts, we will have replaced each old, big problem with several new and smaller ones - each of which may still be hard but no longer will seem unsolvable. Furthermore, Chapter 9 will argue that regarding ourselves as complex machines need not diminish our feelings of self-respect, and should enhance our sense of responsibility.
To start dividing those old big questions into smaller ones, this book will begin by portraying a typical brain as containing a great many parts that we'll call "resources."
We'll use this image whenever we want to explain some mental activity (such as Anger, Love, or Embarrassment) by trying to show how that state of mind might result from the activities of a certain collection of mental resources. For example, the state called "Anger" appears to arouse resources that make us react with unusual speed and strength - while suppressing resources that we otherwise use to plan and act more prudently; thus, Anger replaces your cautiousness with aggressiveness and trades your sympathy for hostility. Similarly, the condition called "Fear" would engage resources in ways that cause you to retreat.
Citizen: I sometimes find myself in a state where everything seems cheerful and bright. Other times (although nothing has changed) all my surroundings seem dreary and dark, and my friends describe me as "down" or "depressed." Why do I have such states of mind - or moods, or feelings, or dispositions - and what causes all of their strange effects?
Some popular answers to this are, "Those changes are caused by chemicals in the brain," or "They result from an excess of stress," or "They come from thinking depressing thoughts." However, such statements say almost nothing about how those processes actually work - whereas the idea of selecting a set of resources can suggest more specific ways in which our thinking can change. For example, Chapter 1 will begin by thinking about this very familiar phenomenon:
When a person you know has fallen in love, it's almost as though someone new has emerged - a person who thinks in other ways, with altered goals and priorities. It's almost as though a switch had been thrown and a different program has started to run.
What could happen inside a brain to make such changes in how it thinks? Here is the approach this book will take:
Each of our major "emotional states" results from turning certain resources on while turning certain others off - and thus changing some ways that our brains behave.
But what activates such sets of resources? Our later chapters will argue that our brains must also be equipped with resources that we shall call "Critics" - each of which is specialized to recognize some certain condition - and then to activate a specific collection of other resources. Some of our Critics are built in from birth, to provide us with certain "instinctive" reactions - such as Anger, Hunger, Fear, and Thirst - which evolved to help our ancestors survive. Thus, Anger and Fear evolved for defense and protection, while Hunger and Thirst evolved for nutrition.
However, as we learn and grow, we also develop ways to activate other, new sets of resources to use - and this leads to types of mental states that we regard as more "intellectual" than "emotional." For example, whenever a problem seems hard to you, then your mind will start to switch among different Ways to Think - by selecting different sets of resources that can help you to divide the problem into smaller parts, or find suggestive analogies, or retrieve solutions from memories - or even ask some other person for help.
The rest of this book will argue that this could be what provides our species with our uniquely human resourcefulness.
Each of our major Ways to Think results from turning certain resources on while turning certain others off - and thus changing some ways that our brains behave.
For example, our first few chapters will try to show how this could explain such states of mind as Love, Attachment, Grief, and Depression in terms of how they exploit our resources. Then the later chapters will do the same for more "intellectual" sorts of thought.
Citizen: It seems strange that you've given the same description both for emotions and for regular thinking. But thinking is basically rational - dry, detached, and logical - whereas emotions enliven our ways to think by adding irrational feelings and biases.
There is a traditional view in which emotions add extra features to plain, simple thoughts, much as artists use colors to augment the effects of black-and-white drawings. However, this book will argue, instead, that many of our emotional states result when certain particular Ways to Think start to suppress our use of certain resources! For example, Chapter 1 will portray "infatuation" as a condition in which we suppress some resources that we might otherwise use to recognize faults in somebody else. Besides, I think it's a myth that there's any such thing as purely logical, rational thinking - because our minds are always affected by our assumptions, values, and purposes.
Citizen: I still think your view of emotions ignores too much. For example, emotional states like fear and disgust involve the body as well as the brain, as when we feel discomfort in the chest or gut, or palpitations of the heart, or when we feel faint or tremble or sweat.
I agree that this view may seem too extreme - but sometimes, to explore new ideas, we need to set our old ones aside, at least temporarily. For example, in the most popular view, emotions are deeply involved with our bodies' conditions. However, Chapter 7 will take the opposite view, by regarding our body parts as resources that our brains can use to change (or maintain) their mental states! For example, you sometimes can make yourself persist at a plan by maintaining a certain facial expression.
So, although this book is called The Emotion Machine, it will argue that emotional states are not especially different from the processes that we call "thinking"; instead, emotions are certain ways to think that we use to increase our resourcefulness - that is, when our passions don't grow till they handicap us - and this variety of Ways to Think must be such a substantial part of what we call "intelligence" that perhaps we should call it "resourcefulness." And this applies not only to emotional states but to all of our mental activities:
If you "understand" something in only one way, then you scarcely understand it at all - because when you get stuck, you'll have nowhere to go. But if you represent something in several ways, then when you get frustrated enough, you can switch among different points of view, until you find one that works for you!
Accordingly, when we design machines to mimic our minds - that is, to create Artificial Intelligences - we'll need to make sure that those machines, too, are equipped with sufficient diversity:
If a program works in only one way, then it gets stuck when that method fails. But a program that has several ways to proceed could then switch to some other approach, or search for a suitable substitute.
This idea is a central theme of this book - and it is firmly opposed to the popular view that each person has a central core - some sort of invisible spirit or self - from which all their mental abilities originate. For that seems a demeaning idea - that all our virtues are secondhand - or that we deserve no credit for our accomplishments, because they come to us as gifts from some other source. Instead, I see our dignity as stemming from what we each have made of ourselves: a colossal collection of different ways to deal with different situations and predicaments. It is that diversity that distinguishes us from most of the other animals - and from all the machines that we've built in the past - and every chapter of this book will discuss some of the sources of our uniquely human resourcefulness.
Chapter 1. We are born with many mental resources.
Chapter 2. We learn more from interacting with others.
Chapter 3. Emotions are different Ways to Think.
Chapter 4. We learn to think about our recent thoughts.
Chapter 5. We learn to think on multiple levels.
Chapter 6. We accumulate huge stores of commonsense knowledge.
Chapter 7. We switch among different Ways to Think.
Chapter 8. We find multiple ways to represent things.
Chapter 9. We build multiple models of ourselves.
For centuries, psychologists searched for ways to explain our everyday mental processes - yet many thinkers still today regard the nature of mind as a mystery. Indeed, it still is widely believed that minds are made of ingredients that can only exist in living things, that no machine could feel or think, worry about what might happen to it, or even be conscious that it exists - or could ever develop the kinds of ideas that could lead to great paintings or symphonies.
This book will pursue all those goals at once: to suggest how human brains might work and to design machines that can feel and think. Then we can try to apply those ideas both to understand ourselves and to develop Artificial Intelligence.
How This Book Handles Quotations and References
Each statement in quotation marks is by an actual person; if it also has a date, the source will be in the bibliography.
Marcel Proust 1927: "Each reader reads only what is already inside himself. A book is only a sort of optical instrument which the writer offers to let the reader discover in himself what he would not have found without the aid of the book."
A statement without quotation marks is a fictional comment a reader might make.
Citizen: If our everyday thinking is so complex, then why does it seem so straightforward to us?
Most references are conventional bibliographical citations, such as
Schank, 1975: Roger C. Schank, Conceptual Information Processing. New York: American Elsevier, 1975.
Some references are to pages on the World Wide Web.
Lenat 1998: Douglas B. Lenat. The Dimensions of Context Space. Available at http://cyc.com/doc/context-space.pdf.
Some other references are to "newsgroups" on the Web, such as
McDermott 1992: Drew McDermott, In comp.ai.philosophy. February 7, 1992.
To access such newsgroup documents (along with the context in which they were written) one can make a Google search for comp.ai.philosophy McDermott 1992. So I will try to maintain copies of these on my Web site at emotionmachine.net. Readers are also invited to use that site for sending questions and comments to me.
Excerpted from The Emotion Machine by Marvin Minsky Copyright © 2006 by Marvin Minsky. Excerpted by permission.
All rights reserved. No part of this excerpt may be reproduced or reprinted without permission in writing from the publisher.
Excerpts are provided by Dial-A-Book Inc. solely for the personal use of visitors to this web site.
Meet the Author
Marvin Minsky is Toshiba Professor of Media Arts and Sciences, and Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. His research has led to many advances in artificial intelligence, psychology, physical optics, mathematics, and the theory of computation. He has made major contributions in the domains of computer graphics, knowledge and semantics, machine vision, and machine learning. He has also been involved with technologies for space exploration.
Professor Minsky is one of the pioneers of intelligence-based robotics. He designed and built some of the first mechanical hands with tactile sensors, visual scanners, and their software and interfaces. In 1951 he built the first neural-network learning machine. With John McCarthy he founded the MIT Artificial Intelligence Laboratory in 1959. He has written seminal papers in the fields of artificial intelligence, perception, and language. His book The Society of Mind contains hundreds of ideas about the mind, many of which he has further developed in this book.
and post it to your social network
Most Helpful Customer Reviews
See all customer reviews >