Topic:Intelligence Darwinism: Information Capacity Shapes Natural Selection delivering Biodiversity
Lecturer:Shuhong Zhou
Shuhong Zhou, Emeritus Professor of the National University of Singapore, Distinguished Director of China Behavioral Economics and Behavioral Finance Research Center of Southwestern University of Finance and Economics, Academician of Econometrics Association, Fellow of the Society for the Advancement of Economic Theory (SAET), a world-renowned experimental economist and behavioral economist. Research areas include decision theory, behavioral economics, experimental economics, and bioeconomics, His research results have been published in Econometrica, Journal of Political Economy, Review of Economic Studies, Journal of Economic Theory, Neuron, Proceedings of the National Academy of Sciences,Management Science and other top academic journals.
Abstract:
Building on Andler' s (2017) idea of situation intelligence (SI) encompassing standard measures in terms of multiple abilities, we observe that the capacity for intelligence relates to the organism' s information capacity derived from its brain (synaptic) plasticity. We offer an extension of SI for individual organisms to collective intelligence (CI) for groups, from family and organization to society and state and even to our species, with which to explore the intriguing idea of Intelligence Darwinism and demonstrate how information and intelligence capacities working in tandem shapes natural selection through inter- and intra -species competition thereby delivering biodiversity. With engaging examples and simple explanations, we seek to unravel the ways in which intelligent decision making delivers survival of the smartest from the lowly worm, C. Elegans, whose brain has 302 neurons and about 7000 synapses to homo sapiens being endowed with 86 billion neurons and more than 100 trillion synapses. It has not escaped our attention that this research has natural implications for what Al may portend for the future of our species.
Time:4:00-5:30 p.m, November 19th,2024
Venue: B321, Zhixin Building, Central Campus
