"The main question is: "Why are empirical questions about how the mind works so weighted down with political and moral and emotional baggage? Why do people believe that there are dangerous implications to the idea that the mind is a product of the brain, that the brain is organized in part by the genome, and that the genome was shaped by natural selection?" This idea has been met with demonstrations, denunciations, picketings, and comparisons to Nazism, both from the right and from the left. And these reactions affect both the day-to-day conduct of science and the public appreciation of the science. By exploring the political and moral colorings of discoveries about what makes uws tick, we can have a more honest science and a less fearful intellectual milieu."
"There is a gigantic project yet to be done that will have the effect of rooting psychology in natural science. Once this is accomplished, you'll be able to go from phenomenology. . . to information processing. . . to the brain. . . down through the workings of the neurons, including the biochemistry, all the way to the biophysics and the way that genes are up-regulated and down-regulated."
"For humans, Chomsky's insights into the computational mechanisms underlying language really revolutionized the field, even though not all would agree with the approach he has taken. Nonetheless, the fact that he pointed to the universality of many linguistic features, and the poverty of the input for the child acquiring language, suggested that an innate computational mechanism must be at play. This insight revolutionized the field of linguistics, and set much of the cognitive sciences in motion. That's a verbal claim, and as Chomsky himself would quickly recognize, we really don't know how the brain generates such computation."
"There are going to be things that meet those conditions that are not interestingly computational by anybody's standards, and there are things that are going to fail to meet the standards, which nevertheless you see are significantly like the things that you want to consider computational. So how do you deal with that? By ignoring it, by ignoring the issue of definition, that's my suggestion. Same as with life! You don't want to argue about whether viruses are alive or not; in some ways they're alive, in some ways they're not. Some processes are obviously computational. Others are obviously not computational. Where does the computational perspective illuminate? Well, that depends on who's looking at the illumination."
"I work on developing an understanding of biological complexity and how we can create it, because the limits of software engineering have been clear now for two decades. The biggest programs anyone can build are about ten million lines of code. A real biological object — a creature, an ecosystem, a brain — is something with the same complexity as ten billion lines of code. And how do we get there?"