Introduction to Milestones in Interactive Theorem Proving

On March 8, 2018, Tobias Nipkow celebrated his sixtieth birthday. In anticipation of the occasion, in January 2016, two of his former students, Gerwin Klein and Jasmin Blanchette, and one of his former postdocs, Andrei Popescu, approached the editorial board of the Journal of Automated Reasoning with a proposal to publish a surprise Festschrift issue in his honor. The e-mail was sent to twenty-six members of the board, leaving out one, for reasons that will become clear in a moment. It is a sign of the love and respect that Tobias commands from his colleagues that within two days every recipient of the e-mail had responded favorably and enthusiastically to the proposal

Discriminator varieties and symbolic computation

AbstractWe look at two aspects of discriminator varieties which could be of considerable interest in symbolic computation:1.discriminator varieties are unitary (i.e., there is always a most general unifier of two unifiable terms), and2.every mathematical problem can be routinely cast in the form†p1 ≈ q1, …, pk ≈ qk implies the equation x ≈ y.Item (l) offers possibilities for implementations in computational logic, and (2) shows that Birkhoff's five rules of inference for equational logic are all one needs to prove theorems in mathematics

Symmetry structure in discrete models of biochemical systems : natural subsystems and the weak control hierarchy in a new model of computation driven by interactions

© 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.Interaction Computing (IC) is inspired by the observation that cell metabolic/regulatory systems construct order dynamically, through constrained interactions between their components and based on a wide range of possible inputs and environmental conditions. The goals of this work are (1) to identify and understand mathematically the natural subsystems and hierarchical relations in natural systems enabling this, and (2) to use the resulting insights to define a new model of computation based on interactions that is useful for both biology and computation. The dynamical characteristics of the cellular pathways studied in Systems Biology relate, mathematically, to the computational characteristics of automata derived from them, and their internal symmetry structures to computational power. Finite discrete automata models of biological systems such as the lac operon, Krebs cycle, and p53-mdm2 genetic regulation constructed from Systems Biology models have canonically associated algebraic structures { transformation semigroups. These contain permutation groups (local substructures exhibiting symmetry) that correspond to "pools of reversibility". These natural subsystems are related to one another in a hierarchical manner by the notion of "weak control ". We present natural subsystems arising from several biological examples and their weak control hierarchies in detail. Finite simple non-abelian groups (SNAGs) are found in biological examples and can be harnessed to realize nitary universal computation. This allows ensembles of cells to achieve any desired finitary computational transformation, depending on external inputs, via suitably constrained interactions. Based on this, interaction machines that grow and change their structure recursively are introduced and applied, providing a natural model of computation driven by interactions.Peer reviewe

Universal Equivalence and Majority of Probabilistic Programs over Finite Fields

International audienceWe study decidability problems for equivalence of probabilistic programs for a core probabilistic programming language over finite fields of fixed characteristic. The programming language supports uniform sampling, addition, multiplication, and conditionals and thus is sufficiently expressive to encode Boolean and arithmetic circuits. We consider two variants of equivalence: The first one considers an interpretation over the finite field F q , while the second one, which we call universal equivalence, verifies equivalence over all extensions F q k of F q . The universal variant typically arises in provable cryptography when one wishes to prove equivalence for any length of bitstrings, i.e., elements of F 2 k for any k . While the first problem is obviously decidable, we establish its exact complexity, which lies in the counting hierarchy. To show decidability and a doubly exponential upper bound of the universal variant, we rely on results from algorithmic number theory and the possibility to compare local zeta functions associated to given polynomials. We then devise a general way to draw links between the universal probabilistic problems and widely studied problems on linear recurrence sequences. Finally, we study several variants of the equivalence problem, including a problem we call majority, motivated by differential privacy. We also define and provide some insights about program indistinguishability, proving that it is decidable for programs always returning 0 or 1

A class of theory-decidable inference systems

Tableau d’honneur de la Faculté des études supérieures et postdoctorales, 2004-2005Dans les deux dernières décennies, l’Internet a apporté une nouvelle dimension aux communications. Il est maintenant possible de communiquer avec n’importe qui, n’importe où, n’importe quand et ce, en quelques secondes. Alors que certains systèmes de communication distribués, comme le courriel, le chat, . . . , sont plutôt informels et ne nécessitent aucune sécurité, d’autres comme l’échange d’informations militaires ou encore médicales, le commerce électronique, . . . , sont très formels et nécessitent de très hauts niveaux de sécurité. Pour atteindre les objectifs de sécurité voulus, les protocoles cryptographiques sont souvent utilisés. Cependant, la création et l’analyse de ces protocoles sont très difficiles. Certains protocoles ont été montrés incorrects plusieurs années après leur conception. Nous savons maintenant que les méthodes formelles sont le seul espoir pour avoir des protocoles parfaitement corrects. Ce travail est une contribution dans le domaine de l’analyse des protocoles cryptographiques de la façon suivante: • Une classification des méthodes formelles utilisées pour l’analyse des protocoles cryptographiques. • L’utilisation des systèmes d’inférence pour la mod´elisation des protocoles cryptographiques. • La définition d’une classe de systèmes d’inférence qui ont une theorie décidable. • La proposition d’une procédure de décision pour une grande classe de protocoles cryptographiquesIn the last two decades, Internet brought a new dimension to communications. It is now possible to communicate with anyone, anywhere at anytime in few seconds. While some distributed communications, like e-mail, chat, . . . , are rather informal and require no security at all, others, like military or medical information exchange, electronic-commerce, . . . , are highly formal and require a quite strong security. To achieve security goals in distributed communications, it is common to use cryptographic protocols. However, the informal design and analysis of such protocols are error-prone. Some protocols were shown to be deficient many years after their conception. It is now well known that formal methods are the only hope of designing completely secure cryptographic protocols. This thesis is a contribution in the field of cryptographic protocols analysis in the following way: • A classification of the formal methods used in cryptographic protocols analysis. • The use of inference systems to model cryptographic protocols. • The definition of a class of theory-decidable inference systems. • The proposition of a decision procedure for a wide class of cryptographic protocols

Proceedings of Sixth International Workshop on Unification

Swiss National Science Foundation; Austrian Federal Ministry of Science and Research; Deutsche Forschungsgemeinschaft (SFB 314); Christ Church, Oxford; Oxford University Computing Laborator