During the first two years of human life a common neural substrate underlies the hierarchical organization of elements in the development of speech as well as the capacity to combine objects manually, including tool use. Subsequent cortical differentiation, beginning at age two, creates distinct, relatively modularized capacities for linguistic grammar and more complex combination of objects. An evolutionary homologue of the neural substrate for language production and manual action is hypothesized to have provided a foundation for the evolution of language (...) before the divergence of the hominids and the great apes. Support comes from the discovery of a Broca's area homologue and related neural circuits in contemporary primates. In addition, chimpanzees have an identical constraint on hierarchical complexity in both tool use and symbol combination. Their performance matches that of the two-year-old child who has not yet developed the neural circuits for complex grammar and complex manual combination of objects. (shrink)

Evolution would favor organisms that can make recurrent decisions in accordance with classical probability (CP) theory, because such choices would be optimal in the long run. This is illustrated by the base-rate fallacy and probability matching, where nonhumans choose optimally but humans do not. Quantum probability (QP) theory may be able to account for these species differences in terms of orthogonal versus nonorthogonal representations.

Although their thesis is generally sound, Barresi & Moore give insufficient attention to the need for a methodology, whether simulation based or theory-based, for choosing among alternative possible matches of first person and third person information. This choice must be sensitive to contextual information, including past behavior. Moreover, apart from simulation or theory, first person information would not help predict future behavior.

Second person intentional relations, involving intentional activities directed at the perceptor, are qualitatively different from first and third person relations. They generate a peculiar, bidirectional kind of intentionality, especially in the realm of visual perception. Systems specialized in dealing with this have been selected by evolution. These systems can be considered to be the evolutionary precursors to the human theory of mind.

The data reviewed in Barresi & Moore's treatment of social understanding is recast in terms of a model of social intelligence that was advanced some time ago (Gallup 1982). When it comes to their analysis of the behavior of other individuals, most primates (and humans younger than 18 months of age) appear to function as radical behaviorists, whereas chimpanzees and older infants show evidence of becoming primitive cognitive psychologists.

Barresi & Moore's account has at least two implications for moral psychology. First, it appears to provide support for cognitive theories of moral competence. Second, their claim that the development of social understanding depends upondomain-generalchanges in cognitive ability appears to oppose the idea that moral competence is under-pinned by a moral module.

Heyes argues that human metacognitive strategies (“cognitive gadgets” or “mills”) are the products of cultural evolution based on domain‐general cognition with few simple biases. Although like Heyes, we believe that the evolution of domain‐general cognitive processes played a crucial role in the evolution of human cognition, we argue that Heyes' distinction between mills and grist is too sharp, that associative learning evolved gradually to become more complex and hierarchical, something that is not captured by the system 1/system 2 distinction, and (...) that human cognitive plasticity required the genetic accommodation of gadget‐specific processes that led to more plasticity‐enhancing human‐specific biases. (shrink)

This bold and brilliant book asks the ultimate question of the life sciences: How did the human mind acquire its incomparable power? In seeking the answer, Merlin Donald traces the evolution of human culture and cognition from primitive apes to the era of artificial intelligence, and presents an original theory of how the human mind evolved from its presymbolic form. In the emergence of modern human culture, Donald proposes, there were three radical transitions. During the first, our bipedal but still (...) apelike ancestors acquired "mimetic" skill—the ability to represent knowledge through voluntary motor acts—which made Homo erectus successful for over a million years. The second transition—to "mythic" culture —coincided with the development of spoken language. Speech allowed the large-brained Homo sapiens to evolve a complex preliterate culture that survives in many parts of the world today. In the third transition, when humans constructed elaborate symbolic systems ranging from cuneiforms, hieroglyphics, and ideograms to alphabetic languages and mathematics, human biological memory became an inadequate vehicle for storing and processing our collective knowledge. The modern mind is thus a hybrid structure built from vestiges of earlier biological stages as well as new external symbolic memory devices that have radically altered its organization. According to Donald, we are symbol-using creatures, more complex than any that went before us, and we may have not yet witnessed the final modular arrangement of the human mind. (shrink)

This book proposes a theory of human cognitive evolution, drawing from paleontology, linguistics, anthropology, cognitive science, and especially neuropsychology. The properties of humankind's brain, culture, and cognition have coevolved in a tight iterative loop; the main event in human evolution has occurred at the cognitive level, however, mediating change at the anatomical and cultural levels. During the past two million years humans have passed through three major cognitive transitions, each of which has left the human mind with a new way (...) of representing reality and a new form of culture. Modern humans consequently have three systems of memory representation that were not available to our closest primate relatives: mimetic skill, language, and external symbols. These three systems are supported by new types of “hard” storage devices, two of which (mimetic and linguistic) are biological, one technological. Full symbolic literacy consists of a complex of skills for interacting with the external memory system. The independence of these three uniquely human ways of representing knowledge is suggested in the way the mind breaks down after brain injury and confirmed by various other lines of evidence. Each of the three systems is based on aninventivecapacity, and the products of those capacities – such as languages, symbols, gestures, social rituals, and images – continue to be invented and vetted in the social arena. Cognitive evolution is not yet complete: the externalization of memory has altered the actual memory architecture within which humans think. This is changing the role of biological memory and the way in which the human brain deploys its resources; it is also changing the form of modern culture. (shrink)

Barresi & Moore fail to provide a satisfactory account for the development of social understanding because of (1) their ambiguous characterization of the relationship between the intentional schema and shared intentional activities, (2) their underestimation of the representational capacities of infants, and (3) their overreliance on the simulationist assumption that understanding others is tantamount to sharing their experience.

Macphail’s ‘null hypothesis’, that there are no differences in intelligence, qualitative or quantitative, between non-human vertebrates has been controversial. This controversy can be useful if it encourages interest in acquiring a detailed understanding of how non-human animals express flexible problem-solving capacity (‘intelligence’), but limiting the discussion to vertebrates is too arbitrary. As an example, we focus here on Portia, a spider with an especially intricate predatory strategy and a preference for other spiders as prey. We review research on pre-planned detours, (...) expectancy violation and a capacity to solve confinement problems where, in each of these three contexts, there is experimental evidence of innate cognitive capacities and reliance on internal representation. These cognitive capacities are related to, but not identical to, intelligence. When discussing intelligence, as when discussing cognition, it is more useful to envisage a continuum instead of something that is simply present or not; in other words, a continuum pertaining to flexible problem-solving capacity for ‘intelligence’ and a continuum pertaining to reliance on internal representation for ‘cognition’. When envisaging a continuum pertaining to intelligence, Daniel Dennett’s notion of four Creatures (Darwinian, Skinnerian, Popperian, Gregorian) is of interest, with the distinction between Skinnerian and Popperian Creatures being especially relevant when considering Portia. When we consider these distinctions, a case can be made for Portia being a Popperian Creature. Like Skinnerian Creatures, Popperian Creatures express flexible problem solving capacity, but the manner in which this capacity is expressed by Popperian Creatures is more distinctively cognitive. (shrink)