Simon Powers has been invited to give a seminar at Aston University.
16/06/2016 Aston University, School of Engineering & Applied Sciences
Simon Powers will deliver a research seminar about his work on the evolution of institutions.
Economics, artificial life, and agent-based
computing are all concerned with understanding the conditions that make it
individually advantageous for self-interested agents to cooperate and produce
socially efficient outcomes. Whether or not it pays a self-interested agent to
cooperate depends upon the incentives provided by the institutional rules that
govern economic interactions between agents. However, defining exactly what an
institution is has proven difficult, with authors often talking past each
other. Moreover, economics, artificial life, and agent-based computing have all
lacked dynamic models of the evolution of institutions. Because of this, they
have struggled to determine conditions under which an incentive structure will
evolve that promotes cooperation, division of labour, and trade. Here I will address
this by presenting a dynamic model of institutional evolution, which views
institutions as political game forms that generate the rules of a group’s economic
interactions. This modelling framework takes account of the fact that agents
are likely to try to create institutional rules that benefit themselves at the
expense of others. As a specific example, I will present an agent-based
economic model of the evolution of institutional rules during the Neolithic
origin of agriculture. I will then move on to discuss possible applications of
institutional evolution to agent-based computation.
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The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.