Artificial Intelligence and Anthropogeny
Terry Sejnowski, Salk Institute for Biological Studies
Patricia Churchland, University of California, San Diego
Access to the live webcast for this symposium will be provided here on Friday, March 3 starting at 10:00 AM (Pacific Time).
Summary:
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 symposium will be explored by researchers at the frontiers of A.I., machine learning, language and sociality.
Speakers | Session |
---|---|
![]() Pascal Gagneux |
Welcome |
![]() Terry Sejnowski |
Opening Remarks |
![]() Blaise Agüera y Arcas |
AI and Large Language Models |
![]() Damián Blasi |
Human Languages and Their Cognition(s) |
![]() Ray Jackendoff |
The Parallel Architecture in Language and Elsewhere The Parallel Architecture is a theory of the mental representations (or “data structures”) involved in the language faculty. These representations are organized in three orthogonal dimensions or levels: phonology (sound structure), syntax (grammatical structure), and semantics (conceptual structure or meaning), 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... read more |
![]() Carmen Amo Alonso ![]() John Doyle |
The Role of Feedback in the Parallel Architecture of Language |
![]() Eva Wittenberg |
The Evolution of Syntax and Pragmatics in a Gradualist Scenario |
![]() Erich Jarvis |
Evolution of Birdsong Learning and Human Spoken Language 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. Here I will present an overview of the various biological hypothesis of what makes vocal learning and... read more |
![]() Alison Barker |
Linking Communication and Cooperation: Lessons from the Naked mole-rat |
![]() Gerd Gigerenzer |
Common Sense and AI |
![]() Pulkit Agrawal |
Learning by Experiment: Continually Evolving Machines |
![]() Patricia Churchland |
Question & Answer Session and Closing Remarks |
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