#4 Distributed Computation: Game Theory
Episode 4 of the Observable Stream podcast, hosted by Observable Stream, titled "#4 Distributed Computation: Game Theory" was published on June 6, 2021 and runs 61 minutes.
June 6, 2021 ·61m · Observable Stream
Summary
In this episode co-hosts Regan and Phil jump dive into a discussion around a branch of research whose important applicability to computer science is often overlooked: Game Theory. Game Theory is the study of optimal strategic decision making and resulting multiplayer equilibria in a multitude of environments and scenarios known as games. In the world of computer science this has an impact on artificial intelligence, multi-agent systems, distributed systems, and internet protocols to name but a few branches. Outside of computer scienece it is an important study of decision making and strategising in economics and political science. Join us in our discussion!
Episode Description
In this episode co-hosts Regan and Phil jump dive into a discussion around a branch of research whose important applicability to computer science is often overlooked: Game Theory. Game Theory is the study of optimal strategic decision making and resulting multiplayer equilibria in a multitude of environments and scenarios known as games. In the world of computer science this has an impact on artificial intelligence, multi-agent systems, distributed systems, and internet protocols to name but a few branches. Outside of computer scienece it is an important study of decision making and strategising in economics and political science. Join us in our discussion!
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