Dear All
Apologies, this is the incorrect Seminar advert for the 4th March 2024 HPS
seminar.
The corrected version will be sent out shortly.
Regards
Cynthia
CYNTHIA KIU | EXECUTIVE OFFICER
The University of Sydney
Faculty of Science, History and Philosophy of Science
Rm No 389, Carslaw F07 | The University of Sydney | NSW | 2006
+61 2 9351 4161
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From: Cynthia Kiu on behalf of HPS Admin
Sent: Tuesday, February 27, 2024 10:04 AM
To: (sydp...@arts.usyd.edu.au)
Subject: HPS Research Seminar, Monday 4, March 2024 at 5:30pm
School of History and Philosophy of Science
RESEARCH SEMINAR
[The University of Sydney]
[https://d31hzlhk6di2h5.cloudfront.net/20240226/cb/75/e2/c4/b84bae4efd3f95e0a8dd36fd_360x512.png]
The Liar paradox, the halting problem and the edge of chaos
Mikhail Prokopenko (USyd)
Dates: Monday, 04/03/2024
Time: 5:30pm
Venue: New Law (F10), Level 3, Seminar Room 344
How to register: Free, no registration required
Abstract: We will explore several fundamental relations between formal systems,
algorithms, and dynamical systems, focussing on the roles of self-reference and
computational undecidability. This comparative analysis will emphasise three
factors: (i) the program-data duality; (ii) the potential to access an infinite
computational medium; and (iii) the ability to implement negation. Importantly,
the program-data duality requires that a computational agent must be able to
store and process encoded information, as well as create self-referential
meta-level simulations. Finally, within Gödel – Turing – Post framework, we
will argue that undecidability leads to novelty generation, via the emergence
of functional self-descriptions across major transitions: genetic, linguistic
and cultural.
Bio: Prof. Mikhail Prokopenko leads the Centre for Complex Systems at the
University of Sydney. He holds PhD in Computer Science, MA in Economics, and
MSc in Applied Mathematics. Mikhail has a strong international reputation in
modelling and simulation of complex self-organising systems, with over 200
publications and h-index of 43. His cross-disciplinary research in information
theory, critical phenomena and artificial intelligence has been applied to
pandemic and crisis modelling, systems biology, urban dynamics, and other
diverse areas.
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