[SydPhil] Fw: HPS Research Seminar, Monday 4, March 2024 at 5:30pm (Please ignore this is incorrect advert for 4 March 2024))

2024-02-26 Thread HPS Admin via SydPhil
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
hps.ad...@sydney.edu.au<mailto:hps.ad...@sydney.edu.au>  | 
sydney.edu.au<http://sydney.edu.au/>

OFFICE HOURS ARE MONDAY, TUESDAY AND WEDNESDAY

9AM TO 430PM


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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[SydPhil] HPS Research Seminar, Monday 4, March 2024 at 5:30pm

2024-02-26 Thread HPS Admin via SydPhil

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.

[https://images.e2ma.net/0/images/templates/spacer.gif]


[The University of Sydney]
Keep in touch
[Facebook]<https://t.e2ma.net/click/gq0ayv/gqotwlab/genoyxe>
[Twitter]<https://t.e2ma.net/click/gq0ayv/gqotwlab/w6noyxe>
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[LinkedIn]<https://t.e2ma.net/click/gq0ayv/gqotwlab/srpoyxe>
[YouTube]<https://t.e2ma.net/click/gq0ayv/gqotwlab/8jqoyxe>
Copyright © 2024 The University of Sydney, NSW 2006 Australia
Phone +61 2 9351  ABN 15 211 513 464 CRICOS Number: 00026A

Please add hps.ad...@sydney.edu.au to your address book or senders safe list to 
make sure you continue to see our emails in the future.

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