Author: Yang Liu

Synthese S.I. on Decision Theory and the Future of Artificial Intelligence

Guest Editors:
Stephan Hartmann (LMU Munich)
Yang Liu (University of Cambridge)
Huw Price (University of Cambridge)

Description:
There is increasing interest in the challenges of ensuring that the long-term development of artificial intelligence (AI) is safe and beneficial. Moreover, despite different perspectives, there is much common ground between mathematical and philosophical decision theory, on the one hand, and AI, on the other. The aim of the special issue is to explore links and joint research at the nexus between decision theory and AI, broadly construed.

We welcome submissions of individual papers covering topics in philosophy, artificial intelligence and cognitive science that involve decision making including, but not limited to, subjects on

  • causality
  • decision making with bounded resources
  • foundations of probability theory
  • philosophy of machine learning
  • philosophical and mathematical decision/game theory

Submissions:
Contributions must be original and not under review elsewhere. Although there is no prescribed word or page limit for submissions to Synthese, as a rule of thumb, papers typically tend to be between 15 and 30 printed pages (in the journal’s printed format). Submissions should also include a separate title page containing the contact details of the author(s), an abstract (150-250 words) and a list of 4-6 keywords. All papers will be subject to the journal’s standard double-blind peer-review.

Manuscripts should be submitted online through Editorial Manager: https://www.editorialmanager.com/synt. Please choose the appropriate article type for your submission by selecting “S.I. : DecTheory&FutOfAI” from the relevant drop down menu.

Deadline:
The deadline for submissions is February 15, 2018.
For further information about the special issue, please visit the website: http://www.decision-ai.org/cfp/

Columbia Festival of Formal Philosophy

A series of logic related talks at Columbia University in the next a few weeks. Please click the link of each talk series below for more information.

SUPPES LECTURES
by Kenny Easwaran (Texas A&M University)

Graduate Workshop
Measuring Beliefs
3:00 pm – 5:00 pm, Friday, March 31, 2017
716 Philosophy Hall, Columbia University

Departmental Lecture
An Opinionated Introduction to the Foundations of Bayesianism
4:10 pm – 6:00 pm, Tuesday, April 4, 2017
716 Philosophy Hall, Columbia University
Reception to follow in 720 Philosophy Hall

Public Lecture
Unity in Diversity: “The City as a Collective Agent”
4:10 pm – 6:00 pm, Thursday, April 6, 2017
603 Hamilton Hall, Columbia University

UNIVERSITY SEMINAR ON LOGIC, PROBABILITY, AND GAMES
Gödel’s Disjunction
Peter Koellner (Harvard University)
5:00 pm, Friday, April 7th, 2017
716 Philosophy Hall, Columbia University
Dinner to follow at Faculty House

WORKSHOP ON PROBABILITY AND LEARNING
Saturday, April 8th, 2017
716 Philosophy Hall, Columbia University

10:00 am – 11:30 am
Typical!
Gordon Belot (University of Michigan)

11:45 am – 13:15 pm
Schnorr Randomness and Lévi’s Martingale Convergence Theorem
Simon Huttegger (UC Irvine)

2:45 pm – 4:15 pm
Probing With Severity: Beyond Bayesian Probabilism and Frequentist Performance
Deborah Mayo (Virginia Tech)

4:30 pm – 6:00 pm
Radically Elementary Imprecise Probability Based on Extensive Measurement
Teddy Seidenfeld (Carnegie Mellon University)
Reception to follow

Suppes Lectures by Easwaran

SUPPES LECTURES
by Kenny Easwaran (Texas A&M University)

Graduate Workshop
Measuring Beliefs
3:00-5:00 pm, Friday, March 31, 2017
716 Philosophy Hall, Columbia University

Departmental Lecture
An Opinionated Introduction to the Foundations of Bayesianism
4:10-6:00 pm, Tuesday, April 4, 2017
716 Philosophy Hall, Columbia University
Reception to follow in 720 Philosophy Hall

Public Lecture
Unity in Diversity: “The City as a Collective Agent”
4:10-6:00 pm, Thursday, April 6, 2017
603 Hamilton Hall, Columbia University

Diaconis: The Problem of Thinking Too Much

UNIVERSITY SEMINAR ON LOGIC, PROBABILITY, AND GAMES
The Problem of Thinking Too Much
Persi Diaconis (Stanford University)
4:10 pm, Friday, September 16, 2016
Faculty House, Columbia University

Abstract. We all know the problem: you sit there, turning things over, and nothing gets done.  Indeed, there are examples where “quick and dirty,” throwing away information, dominate.  My examples wil be from Bayesian statistics and the mathematics of coin tossing, but I will try to survey some of the work in psychology, philosophy, and economics.

More about the seminar here.

We will be having dinner right after the meeting at the faculty house. Please let Robby know if you will be joining us so that he can make an appropriate reservation (please be advised that at this point the university only agrees to cover the expenses of the speaker and the rapporteur and that the cost for all others is $25, payable by cash or check).