Achilles Beros will

speak on “Algorithmic learning and the arithmetic hierarchy”

Summary:

I will present a theorem from my thesis that establishes the arithmetic

complexity of a well-known learning criterion. Two other papers have

been published since then that continue the line of research. I will

discuss the newer papers as well as broader connections between

recursion theory and learning theory.

Keller Hall 303

This week the Sporadic Logic Seminar will be Mushfeq Khan speaking on

“Turing degrees and Muchnik degrees of recursively

bounded DNR functions”.

Summary:

This talk is based on a forthcoming paper by Steve Simpson. It contains

some results that shed light on a part of the Muchnik lattice that remains

poorly understood: the various degrees of recursively bounded DNR functions

obtained by varying the recursive bound.

Keller 303

I will give a tutorial talk, how to use LEAN and Coq/MathCopm.SSReflect, which are famous proof assistant systems.

Keller 303

This week Mushfeq Khan is continuing his

seminar from 2 weeks ago on

“Turing degrees and Muchnik degrees of recursively bounded DNR functions”.

Summary:

This talk is based on a forthcoming paper by Steve Simpson. It contains

some results that shed light on a part of the Muchnik lattice that remains

poorly understood: the various degrees of recursively bounded DNR functions

obtained by varying the recursive bound.

Keller Hall 303

TITLE: The Algebraic Approach to Determining the Complexity of Constraint Satisfaction Problems

SPEAKER: William DeMeo

ABSTRACT: The “CSP-dichotomy conjecture” of Feder and Vardi asserts that every constraint satisfaction problem (CSP) is in P or is NP-complete. Sometime around the late 1990′s it was observed that a CSP is naturally associated with a general (universal) algebra via a certain Galois connection, and that this connection makes it possible to use algebraic methods to determine the complexity class of a CSP. This led to the “algebraic CSP-dichotomy conjecture” which, after more than a decade of substantial research, has been reduced to the following conjecture: the CSP associated with a finite idempotent algebra A is tractable if and only if the variety generated by A has a Taylor term.

In this talk we try to give most of the background required to understand the algebraic approach to CSP. We give some concrete examples that demonstrate how one uses properties of a universal algebra to determine the complexity class of a CSP. If time permits, we will highlight some of our most recent discoveries that have helped resolve the dichotomy conjecture for most idempotent varieties.

The talk should be fairly self-contained for anyone greater than or equal to a math or cs graduate student. Roughly speaking, if you have heard of the complexity classes P and NP and if you know what a universal algebra is, then you should understand most of this talk.

TITLE: Asymptotic Fixed Points, Part I.

ABSTRACT: By a standard exercise, a uniform contraction on a complete metric

space has a fixed point. Easy examples show that this fails if the

contraction is not uniform. I will discuss some recent results where the

uniform property is replaced by asymptotic conditions on the contraction.

These results are most easily framed and proved using methods from

nonstandard analysis, so I will also briefly brief review those methods. If

there is interest, I will actually prove some of the fixed-point results in

a second seminar (hence the “Part I.”)

Keller 303

Introduction for grad students and other beginners, as a prequel to Thursday’s talk.

Speaker: André Nies (University of Auckland), Fellow of the Royal Society of New Zealand

Title: Structure within the class of $K$-trivial sets

Abstract: The $K$-trivial sets are antirandom in the sense that the initial segment complexity in terms of prefix-free Kolmogorov complexity $K$ grows as slowly as possible. Since 2002, many alternative characterisations of this class have been found: properties such as low for $K$, low for Martin-Löf (ML) randomness, and basis for ML randomness, which state in one way or the other that the set is close to computable.

Initially the class looked quite amorphous. More recently, internal structure has been found. Bienvenu et al. (JEMS 2016) showed that there is a “smart” $K$-trivial set, in the sense that any ML-random computing it must compute all $K$-trivials. Greenberg, Miller and Nies (submitted) showed that there is a dense hierarchy of subclasses. Even more recent results with Turetsky combine the two approaches using cost functions.

The talk gives an overview and ends with open questions (of which there remain many).

Location: Keller Hall 303