Some 350 to 400,000 years ago when our ancestors gained control of fire, the day was extended to provide many hours for social interaction, undisturbed by economic activities. How were those hours spent in societies that only had firelight after nightfall? In most preindustrial societies, music, dance, healing and storytelling fill the darkness. Myths and legends create common understandings on such matters as the origins of humans, social groups, rituals or features of the landscape. Hilarious trickster traditions explore the successes and failures of those who have the pluck to break with social norms. Stories about the adventures of real people add other dimensions, a topic Polly Wiessner addresses here. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38998]

Why are humans a compulsively storytelling species? Why especially do we invent stories, why do we tell one another stories that both teller and audience know to be untrue? Why do many of us come to believe some invented stories? What difference has our compulsion to tell stories made to us as individuals, societies, and a species? How do we understand stories so seemingly effortlessly? Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38995]

For more than a century, folklorists have indexed a vast number of the world’s folkloric narratives according to varying structures (i.e. tale types) and to discrete elements (i.e. motifs) that commonly appear across cultures. This talk will introduce and analyze several examples of motifs indexed in folklorist Stith Thompson’s system. Ultimately, I ask whether stories about origins (human origins or otherwise) might constitute a genuine cultural universal? And if so, what might the folkloric representations of human origins say about a contemporary science of anthropogeny? Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38996]

The origin of humans is a difficult scientific problem in evolution that is grounded in biology and molded by culture. Recent advances in neuroscience and artificial intelligence have led to synergies and surprising new hypotheses. Mysteries such as the origin of language and human sociality are being illuminated by these advances. This CARTA symposium will be explored by researchers at the frontiers of A.I., machine learning, language and sociality. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38688]

Pragmatics poses a headache to developers of artificial systems. But how did language evolve to efficiently relay so much pragmatic trickery? Eva Wittenberg presents a new paper that builds on the idea that grammar evolved gradually, and with it, pragmatics. We argue that the simpler a grammar is, the stronger the reliance on pragmatic inferences for many aspects of meaning, including even basic questions such as who did what to whom. As grammars gradually evolve towards more complex systems, these coarse pragmatic inferences give way to pragmatic processes that are different in character: Syntax, semantics, and the lexicon evolve to contain reliable and systematic triggers for highly structured pragmatic phenomena. Our account thus links a gradualist scenario of the evolution of syntax that triggers distinct qualitative processes in pragmatic reasoning. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38685]

Parallel Architecture is a theory of the mental representations involved in the language faculty. These representations are organized in three orthogonal dimensions or levels: phonology, syntax, and semantics, correlated with each other through interface links. Words are encoded in all three levels and serve as part of the interface between sound and meaning. In the representation of an entire sentence, the words are spread out across the combinatoriality of the three levels. An important requirement for a theory of language is that it must offer an account of how we can talk about what we see. It is proposed that conceptual structure in language interfaces with a level of physical space – which in turn interfaces with visual, haptic, and proprioceptive perception, and with the planning of action. Thus, the basic principles of the Parallel Architecture for language can be extended to major aspects of mental function. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38684]

Vocal learning is one of the most critical components of spoken language. It has only evolved several independent times among mammals and birds. Although all vocal learning species are distantly related and have closer relatives that are non-vocal learners, humans and the vocal learning birds have evolved convergent forebrain pathways that control song and speech imitation and production. Erich Jarvis presents an overview of the various biological hypothesis of what makes vocal learning and spoken language special, how it evolved, and what differs about the molecular and neural mechanisms compared to other behavioral traits. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38686]

Common sense is shared knowledge about people and the physical world, enabled by the biological brain. It comprises intuitive psychology, intuitive physics, and intuitive sociality. Unlike deep neural networks, common sense requires only limited experience. Human intelligence has evolved to deal with uncertainty, independent of whether big or small data are available. Complex AI algorithms, in contrast, work best in stable, well-defined situations such as chess and Go, where large amounts of data are available. This stable-world principle helps to understand what statistical algorithms are capable of and distinguish it from commercial hype or techno-religious faith. Gerd Gigerenzer introduces the program of psychological AI, which uses psychological heuristics to make algorithms smart. What we need is a fusion of the adaptive heuristics that embody common sense with the power of machine learning. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38683]

The emergence of language is routinely regarded as a major (or even the main) evolutionary transition in our species’ history. Much less attention and awe has been dispensed to the fact that humans evolved the capacity to successfully create, learn, and use a myriad of different languages which, while similar in some aspects, are radically different in many others. In this presentation, I will argue that these differences have observable consequences for non-linguistic aspects of cognition and behavior. Finally, I will discuss how these effects play out in the design, testing, and deployment of AI, as the linguistic peculiarities of behemoth languages like English are extrapolated to the world’s languages. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38681]

The origin of humans is a difficult scientific problem in evolution that is grounded in biology and molded by culture. Recent advances in neuroscience and artificial intelligence have led to synergies and surprising new hypotheses. Mysteries such as the origin of language and human sociality are being illuminated by these advances. This CARTA symposium will be explored by researchers at the frontiers of A.I., machine learning, language and sociality. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Humanities] [Science] [Show ID: 38687]