An overview on archaeological evidence, provided by Colagè and d’Errico, reveals that the timing, location, and pace of cultural innovations are more consistent with scenarios that take culture, rather than genetic evolutionary processes, as the key driving force for human cognition. The authors elaborate on those mechanisms by which cultural evolution operates, with a specific focus on cultural exaptation and cultural neural reuse.

Reason, we are told, is what makes us human, the source of our knowledge and wisdom. If reason is so useful, why didn't it also evolve in other animals? If reason is that reliable, why do we produce so much thoroughly reasoned nonsense? In their groundbreaking account of the evolution and workings of reason, Hugo Mercier and Dan Sperber set out to solve this double enigma. Reason, they argue with a compelling mix of real-life and experimental evidence, is not geared (...) to solitary use, to arriving at better beliefs and decisions on our own. What reason does, rather, is help us justify our beliefs and actions to others, convince them through argumentation, and evaluate the justifications and arguments that others address to us. In other words, reason helps humans better exploit their uniquely rich social environment. This interactionist interpretation explains why reason may have evolved and how it fits with other cognitive mechanisms. It makes sense of strengths and weaknesses that have long puzzled philosophers and psychologists--why reason is biased in favor of what we already believe, why it may lead to terrible ideas and yet is indispensable to spreading good ones.--. (shrink)

Smith gives an excellent overview on research in language evolution, in which he discusses several recent models of how linguistic systems and the cognitive capacities involved in language learning may have co‐evolved. He illustrates how combined pressures on language learning and communication/use produce compositionally structured languages. Once in place, a (culturally transmitted) communication system creates new selection pressures on the capacity for acquiring these systems.

Kinship terminologies are basic cognitive semantic systems that all human societies use for organizing kin relations. Diversity in kinship systems and their categories is substantial, but constrained. Rácz, Passmore, and Jordan explore hypotheses about such constraints from learning theories and social pressures, testing the impact of a community‐size driven learning bottleneck against the social coordination demands of different kinds of marriage and resource systems.

We present a theoretical framework bearing on the evolution of written communication. We analyze writing as a special kind of graphic code. Like languages, graphic codes consist of stable, conventional mappings between symbols and meanings, but (unlike spoken or signed languages) their symbols consist of enduring images. This gives them the unique capacity to transmit information in one go across time and space. Yet this capacity usually remains quite unexploited, because most graphic codes are insufficiently informative. They may only be (...) used for mnemonic purposes or as props for oral communication in real-time encounters. Writing systems, unlike other graphic codes, work by encoding a natural language. This allows them to support asynchronous communication in a more powerful and versatile way than any other graphic code. Yet, writing systems will not automatically unlock the capacity to communicate asynchronously. We argue that this capacity is a rarity in non-literate societies, and not so frequent even in literate ones. Asynchronous communication is intrinsically inefficient because asynchrony constrains the amount of information that the interlocutors share and limits possibilities for repair. This would explain why synchronous, face-to-face communication always fosters the development of sophisticated codes (natural languages), but similar codes for asynchronous communication evolve with more difficulties. It also implies that writing cannot have evolved, at first, for supporting asynchronous communication. (shrink)

How linguistic structures evolve so as to become easier to process is addressed by Isbilen and Christiansen for the Now‐or‐Never bottleneck. The authors suggest that this fundamental challenge in language processing is coped with by rapid compression of the transient linguistic input into chunks then to be passed on. As linguistic structures that can be chunked more easily tend to stabilize and proliferate, language evolves to fit learners’ cognitive capabilities.

Accounts of language evolution have largely suffered from a monolingual bias, assuming that language evolved in a single isolated community sharing most speech conventions. Rather, evidence from the small-scale societies who form the best simulacra available for ancestral human communities suggests that the combination of small societal scale and out-marriage pushed ancestral human communities to make use of multiple linguistic systems. Evolutionary innovations would have occurred in a number of separate communities, distributing the labor of structural invention between populations, and (...) would then have been pooled gradually through multilingually mediated horizontal transfer to produce the technological package we now regard as a natural ensemble. (shrink)