Exposing the chimpanzee to language training appears to enhance the animal's ability to perform some kinds of tasks but not others. The abilities that are enhanced involve abstract judgment, as in analogical reasoning, matching proportions of physically unlike exemplars, and completing incomplete representations of action. The abilities that do not improve concern the location of items in space and the inferences one might make in attempting to obtain them. Representing items in space and making inferences about them could be done (...) with an imaginal code, but representing relations and judging the relations between them, as in analogies, requires a more abstract code. Language training cannot instill such an abstract code, but for species that have the code to start with, it may enhance the animal's ability to use it. (shrink)

The way people come to report private stimulation arising within their own bodies is not well understood. Although the Darwinian assumption of biological continuity has been the basis of extensive animal modeling for many human biological and behavioral phenomena, few have attempted to model human communication based on private stimulation. This target article discusses such an animal model using concepts and methods derived from the study of discriminative stimulus effects of drugs and recent research on interanimal communication. We discuss how (...) humans acquire the capacity to identify and report private stimulation and we analyze intra- and interspecies differences in neurochemical mechanisms for transducing interoceptive stimuli, enzymatic and other metabolic factors, learning ability, and discrimination learning histories and their relation to psychiatric and developmental disabilities. (shrink)

This paper develops the hypothesis that languages may be learned by means of a kind of cause-effect analysis. This hypothesis is developed through an examination of E. Sue Savage-Rumbaugh's research on the abilities of chimpanzees to learn to use symbols. Savage-Rumbaugh herself tends to conceive of her work as aiming to demonstrate that chimpanzees are able to learn the "referential function" of symbols. Thus the paper begins with a critique of this way of viewing the chimpanzee's achievements. The hypothesis that (...) Savage-Rumbaugh's chimpanzees learn to use symbols by means of cause-effect analysis is then supported through a detailed examination of the tasks they have learned to perform. Next, it is explained how language-learning in humans might be conceptualized along similar lines. The final section attempts to explain how the pertinent cause-effect analysis ought to be conceived. (This paper was published with a reply by Savage-Rumbaugh. See the same issue, pp. 55-76.). (shrink)

Why is language unique? How did language come about? When did this happen? These questions, although quite emblematic of the Western intellectual tradition since its ancient beginnings, so far have not found satisfying answers. Indeed, many still question the very possibility of addressing these basic problems of the origins of language with proper scientific rigor. However, an emerging consensus is that current research in the field of language evolution is in fact bearing fruit, making it at least possible to judge (...) in an informed manner which of these competing scenarios are far more or less probable. In what follows, I guide the reader through some of this research and some of these scenarios; for more details, I refer the reader to a recent book, which is the first monograph that presents this developing field of language evolution research to the Polish reader. (shrink)

Alan Turing devised his famous test (TT) through a slight modificationof the parlor game in which a judge tries to ascertain the gender of twopeople who are only linguistically accessible. Stevan Harnad hasintroduced the Total TT, in which the judge can look at thecontestants in an attempt to determine which is a robot and which aperson. But what if we confront the judge with an animal, and arobot striving to pass for one, and then challenge him to peg which iswhich? (...) Now we can index TTT to a particular animal and its syntheticcorrelate. We might therefore have TTTrat, TTTcat,TTTdog, and so on. These tests, as we explain herein, are abetter barometer of artificial intelligence (AI) than Turing's originalTT, because AI seems to have ammunition sufficient only to reach thelevel of artificial animal, not artificial person. (shrink)