Speaker:     Sergey Ozernikov
Affiliation: The University of Auckland
Title:       Public-Key Infrastructure: trust metrics in the Web of Trust
Date:        Tuesday, 25 Mar 2014
Time:        5:00 pm
Location:    Room 412, Science Centre (303)

Public Key Insrastructure (PKI) is an arrangement that provides its users with means for confident and effective utilisation of public-key cryptography. An overview of non-hierarchical example of PKI – Pretty Good Privacy (PGP) – will be given, which uses the concept of a Web of Trust – a structure where any user can act as a certificate authority and assert validity of other users’ certificates.

A user A of PGP before sending a message to another user X must calculate the validity of the other user’s certificate using the public information about the network and their private information about the trustworthiness of the users on the certification paths from A to X. This is normally done on the basis of the so-called trust metric. Trust metrics and decision rules based on them are a field of active research – it is unlikely that anyone will invent a single perfect decision rule since there are many conflicting desiderata. In particular, it is desirable that such a decision rule
– be immune to various attacks;
– be easily computable;
– satisfy nice normative properties (axioms).

This is an introductory talk on this subject. No specific knowledge of cryptography will be assumed. Social networks people are especially invited.

Speaker:     Adam Clearwater
Affiliation: The University of Auckland
Title:       The single-crossing property on a tree
Date:        Tuesday, 11 Mar 2014
Time:        5:00 pm
Location:    Room 412, Science Centre (303)

We generalize the classical single-crossing property to single-crossing property on trees and obtain new ways to construct the so-called Condorcet domains which are sets of linear orders which possess the property that every profile composed from those orders have transitive majority relation. We prove that for any tree there exist profiles that are single-crossing on that tree; moreover, that tree is minimal in this respect for at least one such profile. Finally, we provide a polynomial-time algorithm to recognize whether or not a given profile is single-crossing with respect to some tree. We also show that finding winners for Chamberlin-Courant rule is polynomial  for profiles that are single-crossing on trees.

This paper is a product of Adam’s Summer Scholarship project. The research was conducted jointly with Clemens Puppe (KIT, Germany) and Arkadii Slinko.

Speaker:     Arkadii Slinko
Affiliation: The University of Ackland
Title:       Swensson’s theorem and its failed generalisations
Date:        Tuesday, 25 Feb 2014
Time:        5:00 pm
Location:    Room 412, Science Centre (303)

Swensson’s theorem is one of the many impossibility theorems in mathematical economics. These impossibility theorems give you an idea of what is possible and what is impossible to achieve. Imagine that you have to allocate state houses to families who need them and that those families have preferences on the set of houses. What should the allocation mechanism be? Swensson (1999) proved that if we impose just three simple desirable properties on the allocation mechanism we will be left only with a serial disctatorship under which a random queu (permutation) will be chosen and each family will be asked to choose their house when their term in the queue comes.

During Piotr Skowron’s visit in January we tried to generalise Swensson’s theorem to more general class of mechanisms called social assignment rules. We produced a bunch of counterexamples instead. In my talk I will prove Swensson’s theorem and present our counterexamples.

* What: informal CMSS workshop to discuss methodology for social network analysis, and try to build a community at UoA in this area
* Where/When: Monday 17 Feb in Room 303.561 (Maths/Physics Building, corner Wellesley St and Princes St)

* Advice for speakers: Informal talks without slides are OK. There is a whiteboard. Slides are also OK, in fact preferred slightly – please bring them on a flash drive or similar. The key idea is to find common ground for interdisciplinary research, so please focus on the questions and methodology, not your research results. Basic questions to answer: who are you, where are you from, where social networks arise in your research area, what methodology have you been using to study them, which methodological expertise that you don’t have would benefit your research?

* Approximate schedule:

0900-1030 session 1

Patrick Girard (Philosophy, School of Humanities)
Nelson Aguirre (School of Population Health)
David Welch (Department of Computer Science)
Lorenzo Ductor (Massey-Albany, School of Economics and Finance)
Jenny Long (Department of Psychology)

1030-1100 Informal discussion (catering provided)

1100-1230 session 2

Mark Wilson (CMSS, Dept of Computer Science)
Dion O’Neale (Department of Physics)
Holly Darling (Claremont Graduate University, Education)
Yun Sing Koh (Department of Computer Science)
Quentin Atkinson (Department of Psychology)

1230-1330 lunch (self-organized)

Afternoon (will include spontaneous breaks)

1330-1400 brainstorming
1400-1500 small group discussions
1500-1600 report back and wrap up

The CMSS is pleased to announce the programme for its 5th Summer Workshop.

The Workshop will take place on 10-11 December 2013 at the University of Auckland.  There is no registration fee for attending the Workshop — all are welcome.

 

FINAL PROGRAMME:

___________________________________________________________________________________________________________________

DAY 1 

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SESSION 1

Chair: Matthew Ryan

Approximate Implementation in Markovian Environments

Ludovic Renou (University of Essex) and Tristan Tomala (HEC, Paris and GREGHEC)

A Multi-Unit Dominant Strategy Double Auction

Simon Loertscher (University of Melbourne) and Claudio Mezzetti (University of Melbourne)

 

SESSION 2

Chair: John Hillas

Plasticity, Monotonicity, and Implementability

Juan Carlos Carbajal (UNSW) and Rudolf Müller (Maastricht University)

Fair Division with Random Demand

Jingyi Xue (Singapore Management University)

 

SESSION 3

Chair: Mark Wilson

Extension Theorems for the Price of Anarchy

Tim Roughgarden (Stanford University)

 

 SESSION 4

Chair: Arkadii Slinko

Implementation of Communication Equilibria by Cryptographic Cheap Talk

Peter Bardsley (University of Melbourne) and Vanessa Teague (University of Melbourne)

One-Way Interdependent Games

Andrés Abeliuk (NICTA and University of Melbourne), Gerardo Berbeglia (NICTA and Melbourne Business School) and Pascal van Hentenryck (NICTA and University of Melbourne)

Experimental Design to Persuade

Anton Kolotilin (UNSW)

___________________________________________________________________________________________________________________

DAY 2 

___________________________________________________________________________________________________________________

SESSION 1

Chair: Golbon Zakeri

Testing for Market Efficiency with Transactions Costs:  An Application to Convergence Bidding in Wholesale Electricity Markets

Akshaya Jha (Stanford University) and Frank Wolak (Stanford University)

The Competitive Price of Stored Water

Andy Philpott (University of Auckland)

 

SESSION 2

Chair: Golbon Zakeri

An Equilibrium Model of a Congested Oligopolistic Electricity Market with an Imperfect Cap and Trade Market for CO2 Permits

Shmuel Oren (UC Berkeley)

Vertical Structure and the Price Effects of Mergers

Jim Bushnell (UC Davis)

 

SESSION 3

Chair: Simona Fabrizi

Inefficiency in the Shadow of Unobservable Reservation Payoffs

Madhav Aney (Singapore Management University)

Learning, Entry and Competition with Uncertain Common Entry Costs

Francis Bloch (Paris School of Economics), Simona Fabrizi (Massey University) and Steffen Lippert (University of Otago)

Ex-post Efficiency with Random Participation

Murali Agastya (University of Sydney) and Oleksii Birulin (University of Sydney)

 

SESSION 4

Chair: Steffen Lippert

Edgeworth Equilibria Separable and Non-Separable Spaces

Anuj Bhowmik (ISI, Kolkata)

Voting Manipulation Games

Arkadii Slinko (University of Auckland)

Welfare Implications of Strategic Voting

Mark Wilson (University of Auckland)

 

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Venues

All sessions will be held in Room 315 of the Arts 1 Building (building number 206).

CAMPUS MAP

Registration, morning and afternoon teas will take place in the foyer outside 315.  Lunches will be served on the Level 6 airbridge in the Owen G. Glenn Building (building number 260).

Workshop Dinner

There will be a conference dinner on 10 December at Ima’s Bistro.  The following map has directions from campus.

The dinner is free for presenters.  Others wishing to join us for dinner should contact Matthew Ryan (m.ryan@auckland.ac.nz) to confirm availability of space and the attendance fee.

Accommodation

Popular hotels and serviced apartments in the vicinity of campus include:

The Quadrant

Waldorf Celestion

The Pullman

Quest Carlaw Park

Quest Parnell

The Langham

ATE Symposium

Attendees may also be interested in the following event, taking place at the Albany Campus of Massey University on 12-13 December:

1st ATE Symposium

Thanks!

Finally, thanks to our generous sponsors:

ATE Research Network (Massey University)

Department of Computer Science (University of Auckland)

Energy Centre (University of Auckland)

Electric Power Optimization Centre (University of Auckland)

University of Auckland Business School

 

 

Speaker: Andy Philpott (Department of Engineering Science)
Topic: A Primer on Supply-Function Equilibrium
When: 2:30-3:30, Tuesday 29 October
Where: Room 5115, OGGB
Abstract: Supply function equilibrium models arise when agents offer a schedule of prices and quantities to an auction for a single divisible good. They were first developed in the setting of treasury auctions, but have become useful models for studying auctions of electricity, where uncertainty plays a key role. This talk will attempt to give an elementary account of supply function equilibrium, focusing on the mathematics underlying the model.

Slides are available.

Speaker: Matthew Ryan (Department of Economics)
Topic: Belief Functions (Part II)
When: 2:30-3:30, Tuesday 22 October
Where: Room 5115, OGGB
Abstract:

Belief functions generalise the notion of probability by relaxing additivity, while retaining a weaker property called infinite monotonicity. Belief functions allow us to quantify beliefs in a manner which is sensitive to the strength of the evidential support. I’ll focus on how to update such beliefs; more generally, how to perform statistical inference when the prior is described by a belief function. Many puzzles and problems arise when considering the issue of updating/inference. This talk will be informal (i.e., ill-prepared!) and will raise questions rather than provide answers.

Speaker: Shaun White (PhD student, Department of Mathematics)
Topic: William Riker’s “Liberalism Against Populism”
When: 2:30-3:30, Tuesday 15 October
Where: Room 5115, OGGB
Abstract:

I will give an overview of William Riker’s “Liberalism Against Populism”. William Riker was a hugely influential political scientist. His “Liberalism Against Populism” (1982) is often said to be his seminal work. In it, Riker explores the implications of social choice theory for the theory of democracy. He argues that there are two ways to interpret voting. According to the liberal interpretation we vote merely to restrain elected officials. According to the populist interpretation we vote so that we can establish the general will of the electorate. Riker claims that the results of social choice theory imply that we must reject the populist interpretation. I will outline Riker’s reasoning. I will also discuss the very robust response made by Gerry Mackie (Democracy Defended, 2003).

Slides are available.

Speaker: Matthew Ryan (Economics)
Topic: Belief Functions (Part I)
When: 2:30-3:30, Tuesday 8 October
Where: Room 5115, OGGB
Abstract:

Belief functions are used to quantify degrees of belief. They provide a more flexible alternative to the usual (in Economics) quantification by probabilities. Any probability is a belief function, but not conversely. This talk will introduce belief functions and discuss an unexpected connection between the mathematics of belief functions and David Kreps’ (1979) famous axiomatisation of expected indirect utility. In a subsequent talk, I will discuss the updating of belief functions – how to perform statistical inference when the prior is described by a belief function.

********************************************
Speaker: Andrew Withy (Philosophy)
Topic: Truth is never enough.
When: 2:30-3:30, Tuesday 24 September
Where: Room 5115, OGGB
Abstract:

Humans always bear in mind more factors than simply truth when deciding what to say, which theorems to prove, or which conclusions to draw from a data set. Standard reasoning models treat all conclusions from valid arguments equally, while humans show distinct preferences for simple, consistent, and informative conclusions. I will introduce some formal information norms, and discuss their relationship with a class of intuitive syntactic preference relations over conclusions. One surprising ‘co-incidence’ is that the diverse and seemingly unrelated properties of ceteris paribus informativity, equilinear distributivity, propositional inclusion, and deductive finitude appear to be equivalent under these norms. Time permitting, some practical consequences of these norms will be sketched, as well as applications in linguistic pragmatics or philosophy of science, depending on audience interest.