The concept of truth arises from puzzling over distinctions between the real and the apparent, while the origin of these distinctions lies in the neurobiology of mammalian cerebral lateralization, that is, in the evolution of brains that can address the world both indicatively and subjunctively; brains that represent the world both categorically and hypothetically. After some 2,500 years of thinking about it, the Western philosophical tradition has come up with three major theories of truth: correspondence, coherence, and pragmatist. Traditional philosophy (...) has nevertheless failed to arbitrate much among these views; certainly no clear winner has emerged. I argue, however, that contemporary neuroscience provides adequate theoretical grounds for a unified theory of truth. More specifically, I contend that the correspondence, the coherence, and the pragmatic utility of symbols are each biological features of our neurophysiological information processing systems—that is to say, our brains. On my view, the traditional trifurcation of philosophical accounts of the predicate, “is true”, stems from a trifurcation of focus on the information latent in sensory, motor, and somatosensory cortices of the human brain. (shrink)

Artificial intelligence was defined in 1968 by Marvin Minsky as “the science of making machines do things that would require intelligence if done by men.” Minsky’s definition has proved durable—despite its being remarkably uninformative—not simply because it compresses the purport of Alan Turing’s seminal paper, “Computing Machinery and Intelligence,” into a single sentence, but because instead of focusing on what we should say were some computer or other to pass the Turing test, it reinvents the test as a means of (...) confirming the success of a global scientific research program. (shrink)

This chapter contains sections titled: Questioning Ourselves A Twice‐Told Tale What Makes Us Different? Whose Blues? Our Blues Unfinished Business Notes.