Online research in philosophy

How can the human mind represent the external world? What is thought, and can it be studied scientifically? Does it help to think of the mind as a kind of machine? Tim Crane sets out to answer questions like these in a lively and straightforward way, presuming no prior knowledge of philosophy or related disciplines. Since its first publication in 1995, The Mechanical Mind has introduced thousands of people to some of the most important ideas in contemporary philosophy of mind. Tim Crane explains some fundamental ideas that cut across philosophy of mind, artificial intelligence and cognitive science: what the mind-body problem is; what a computer is and how it works; what thoughts are and how computers and minds might have them. He examines different models of the mind from dualist to eliminativist, and questions whether there can be thought without language and whether the mind is subject to the same causal lsaws as natural phenomena. The result is a fascinating exploration of the theories and arguments surrounding the notions of thought and representation. The edition has been fully revised and updated, and includes a new chapter on consciousness and new sections on modularity and evolutionary psychology. There are also guides for further reading, a chronology and a new glossary of terms such as mentalese, connectionism and the homonculus fallacy. The Mechanical Mind is accessible to the general reader as well as students, and anyone interested in the mechanism of our minds.

In this collection of essays we hear from an international array of computer and brain scientists who are actively working from both the machine and human ends...

What happens when machines become more intelligent than humans? One view is that this event will be followed by an explosion to ever-greater levels of intelligence, as each generation of machines creates more intelligent machines in turn. This intelligence explosion is now often known as the “singularity”. The basic argument here was set out by the statistician I.J. Good in his 1965 article “Speculations Concerning the First Ultraintelligent Machine”: Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an “intelligence explosion”, and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make. The key idea is that a machine that is more intelligent than humans will be better than humans at designing machines. So it will be capable of designing a machine more intelligent than the most intelligent machine that humans can design. So if it is itself designed by humans, it will be capable of designing a machine more intelligent than itself. By similar reasoning, this next machine will also be capable of designing a machine more intelligent than itself. If every machine in turn does what it is capable of, we should expect a sequence of ever more intelligent machines. This intelligence explosion is sometimes combined with another idea, which we might call the “speed explosion”. The argument for a speed explosion starts from the familiar observation that computer processing speed doubles at regular intervals. Suppose that speed doubles every two years and will do so indefinitely. Now suppose that we have human-level artificial intelligence 1 designing new processors. Then faster processing will lead to faster designers and an ever-faster design cycle, leading to a limit point soon afterwards. The argument for a speed explosion was set out by the artificial intelligence researcher Ray Solomonoff in his 1985 article “The Time Scale of Artificial Intelligence”.1 Eliezer Yudkowsky gives a succinct version of the argument in his 1996 article “Staring at the Singularity”: “Computing speed doubles every two subjective years of work..

John Haugeland's Mind design and Mind design II are organized around the idea that the fundamental idea of cognitive science is that, “intelligent beings are semantic engines — in other words, automatic formal systems with interpretations under which they consistently make sense”. The goal of artificial intelligence research, or the problem of “mind design” as Haugeland calls it, is to develop computers that are in fact semantic engines. This paper canvasses the changes in artificial intelligence research reflected in the different selections of essays found in each volume. While Mind design II is a worthy successor to Mind design, there are some notable developments in artificial intelligence which suggest that seemingly intelligent behavior need not be guided by semantic engines at all.