Vertebrate intelligence: the null hypothesis

Human cognitive capacities have so evolved that man is able to solve an extensive range of problems having very different properties. Comparative psychologists have endeavoured to throw light on the evolution and nature of this general intellectual capacity by exploring performance of non-human vertebrates in a variety of learning tasks, in the expectation of demonstrating superior intelligence in species more closely related to man. It has, however, proved difficult to establish that any observed difference in performance is due to a difference in intellectual capacity rather than to a difference in such contextual variables as, for example, perception or motivation. Three hypotheses that might account for the lack of experimentally demonstrable differences in intelligence amongst non-humans are discussed. The first proposes that the data currently available may have been misinterpreted: that, for example, the potential role of contextual variables has been exaggerated. According to the second hypothesis, the questions posed by comparative psychologists have been inappropriate: learning mechanisms are adaptations evolved for life in a specific ecological niche, so that mechanisms available to species from different niches are not properly comparable. It is argued that neither of these two hypotheses receives convincing empirical support. A third hypothesis proposes that there are, in fact, neither quantitative nor qualitative differences among the intellects of non-human vertebrates. It is argued that this null hypothesis is currently to be preferred, and that man's intellectual superiority may be due solely to our possession of a species-specific language-acquisition device.

[1]  Birch Hg The relation of previous experience to insightful problem-solving. , 1945 .

[2]  C. Hayes,et al.  The ape in our house , 1951 .

[3]  O. Mowrer LEARNING THEORY AND PERSONALITY DYNAMICS , 1953 .

[4]  R. Bolles,et al.  Deprivation states and behavioral attributes. , 1954, Journal of comparative and physiological psychology.

[5]  R. Bolles,et al.  Bodyweight changes and behavioral attributes. , 1956, Journal of comparative and physiological psychology.

[6]  H E ROSVOLD,et al.  One-trial objectdiscrimination learning in monkeys with frontal lesions. , 1962, Journal of comparative and physiological psychology.

[7]  M. Bitterman THE EVOLUTION OF INTELLIGENCE. , 1965, Scientific American.

[8]  John Garcia,et al.  Learning with prolonged delay of reinforcement , 1966 .

[9]  John Garcia,et al.  Relation of cue to consequence in avoidance learning , 1966 .

[10]  R. Gardner,et al.  Teaching sign language to a chimpanzee. , 1969, Science.

[11]  D. Premack,et al.  Language in chimpanzee? , 1971, Science.

[12]  S. Revusky Chapter 4 – THE ROLE OF INTERFERENCE IN ASSOCIATION OVER A DELAY1 , 1971 .

[13]  N. Mackintosh,et al.  Spatial reversal learning in rats, pigeons, and goldfish , 1971 .

[14]  M. Bitterman,et al.  Discrimination reversal in the goldfish as a function of training conditions. , 1973 .

[15]  T. Testa Effects of Similarity of Location and Temporal Intensity Pattern of Conditioned and Unconditioned Stimuli on the Acquisition of Conditioned Suppression in Rats. , 1975 .

[16]  B. T. Lett Long delay learning in the T-maze☆ , 1975 .

[17]  D. Olton,et al.  Animal Behavior Processes , 2022 .

[18]  D. Olton,et al.  Food-searching strategies in young rats: Win-shift predominates over win-stay. , 1978 .

[19]  F. Patterson The gestures of a gorilla: Language acquisition in another pongid , 1978, Brain and Language.

[20]  S. Lea Foraging and reinforcement schedules in the pigeon: Optimal and non-optimal aspects of choice , 1979, Animal Behaviour.

[21]  H. Terrace,et al.  Can an ape create a sentence? , 1979, Science.

[22]  A. Dickinson Contemporary Animal Learning Theory , 1981 .

[23]  R. Cook,et al.  Spatial memory and the performance of rats and pigeons in the radial-arm maze , 1981 .

[24]  Marcia L. Spetch,et al.  The ring dove's short-term memory capacity for spatial information , 1981, Animal Behaviour.

[25]  E. Gaffan,et al.  The Role of Exploration in Win-Shift and Win-Stay Performance on a Radial Maze. , 1981 .

[26]  E. Macphail Brain and Intelligence in Vertebrates , 1982 .

[27]  H. L. Roitblat,et al.  Performance ofBetta splendens in a radial arm maze , 1982 .

[28]  S. Mizumori,et al.  Failure of mice to demonstrate spatial memory in the radial maze. , 1982, Behavioral and neural biology.

[29]  O. Burešová,et al.  An attempt to account for controversial estimates of working memory persistence in the radial maze. , 1983, Behavioral and neural biology.

[30]  Philipp J. Kraemer,et al.  The influence of cue type and configuration upon radial-maze performance in the rat , 1983 .

[31]  Irene M. Pepperberg,et al.  Cognition in the African Grey parrot: Preliminary evidence for auditory/vocal comprehension of the class concept , 1983 .

[32]  E. Macphail,et al.  Probability learning in pigeons (Columba livia) is not impaired by hyperstriatal lesions , 1983, Physiology & Behavior.

[33]  M. Domjan Biological constraints on instrumental and classical conditioning: implications for general process theory , 1983 .

[34]  D. J. Olson,et al.  Characteristics of spatial memory in pigeons. , 1983, Journal of experimental psychology. Animal behavior processes.

[35]  Russell A. Epstein,et al.  ‘Insight’ in the pigeon: antecedents and determinants of an intelligent performance , 1984, Nature.

[36]  Joel L. Davis,et al.  The radial maze performance of mice: assessing the dimensional requirements for serial order memory in animals. , 1984, Behavioral and neural biology.