I'm a Senior Lecturer and Prize Fellow in the Mathematical Foundations group, Department of Computer Science, University of Bath.
My research is in the area of logic and proof theory, and has focused on canonical graphical representations of proof, commonly known as proof nets.
In this project we investigate the computational potential of deep-inference proof theory, via the Curry-Howard correspondence between intuitionistic logic and simple types for the lambda-calculus.
We investigate intersection types and resource lambda-calculi from the perspective of deep-inference proof theory. We give a single underlying type system that is parameterized in a choice of algebraic laws to represent different flavours of quantitative reasoning about lambda-calculi.
Probabilistic lambda-calculi are generally non-confluent, with call-by-name and call-by-value providing different results. Via a decomposition of the usual probabilistic sum into a generator that generates a probabilistic event and a choice that evaluates differently depending on a given event, we capture both reduction regimes, as well as many intermediate ones, in a single, confluent probabilistic lambda-calculus.
We investigate the computational side of the switch rule of deep-inference proof theory, and link it to end-of-scope operators and director strings in lambda-calculus. We use this to extend the atomic lambda-calculus, obtaining a more refined version of full laziness, spine duplication.
We give two flavours of proof nets for additive linear logic with first-order quantification: one where existential witnesses are recorded via explicit substitutions, attached to axiom links; and one where witness information is omitted, and reconstructed by unification.
We extend Hughes's classical Combinatorial Proofs to intuitionistic logic. We obtain a purely geometric, concrete semantics that has polynomial full completeness (no size explosion when translating from sequent calculus) and local canonicity (all non-duplicating permutations are factored out).
Bi-intuitionistic linear logic (BILL) combines the tensor and linear implication of intuitionistic linear logic (ILL) with their duals, par and subtraction, relating tensor and par through a linear distributivity. We give canonical proof nets for this proof-theoretically challenging logic, with correctness through both contractibility and switching.
We give a new notion of proof net for Multiplicative-Additive Linear Logic, that strikes a subtle balance between efficiency and canonicity. Conflict nets are canonical for all local rule commutations, which are those that do not incur a global duplication. As a consequence they have linear size compared to sequent proofs, avoiding the exponential growth of Hughes and Van Glabbeek's Slice Nets.
Proof equivalence in MLL with units is shown to be PSPACE-complete, by a reduction from the graphical formalism called Non-Deterministic Constraint Logic. This effectively rules out a satisfactory notion of proof net with units, as such a notion would constitute a tractable decision algorithm for proof equivalence.
We consider a notion of semi-star-autonomous category: star-autonomous categories without units, corresponding to Girard's proof nets for MLL. (Available online since November 2014.)
We give an effective correctness criterion for additive proof nets, which is naturally expressed in Petri nets, and is the equivalent of Danos contractibility for MLL. In addition we give simple proof search algorithms for additive linear logic with and without units and an effective correctness algorithm for additive proof nets with units, and we show that first-order additive linear logic is NP-complete.
Proof equivalence in MLL with units is shown to be PSPACE-complete, by a reduction from the graphical formalism called Non-Deterministic Constraint Logic. This effectively rules out a satisfactory notion of proof net with units, as such a notion would constitute a tractable decision algorithm for proof equivalence. (Superseded by the journal version Proof equivalence in MLL is PSPACE-complete.)
The atomic lambda-calculus is a typeable lambda-calculus with explicit sharing, which originates in a Curry-Howard interpretation of a deep-inference system for intuitionistic logic. In this paper we prove strong normalization of the typed atomic lambda-calculus using Tait's reducibility method.
The atomic lambda-calculus is a typeable lambda-calculus with explicit sharing, based on a Curry-Howard-style interpretation of the deep inference proof formalism. Duplication of subterms during reduction proceeds atomically, i.e. on individual constructors, similar to optimal graph reduction in the style of Lamping. The calculus preserves strong normalisation and achieves fully lazy sharing.
The paper describes canonical proof nets for additive linear logic, or sum-product logic, the internal language of categories with free finite products and co-products. Starting from existing proof nets, which disregard the unit laws, canonical nets are obtained by a simple rewriting algorithm, for which a substantial correctness proof is provided.
Awarded the LICS 2011 Kleene award for best student paper
The paper investigates cut-elimination in classical proof forests, a proof formalism for first-order classical logic based on Herbrand's Theorem and backtracking games in the style of Coquand. Cut-free classical proof forests were described by Miller, and are called Expansion Tree Proofs.
Superseded by A deep quantitative type system.
Superseded by Classical Proof Forestry.
Doctoral thesis: A lambda-calculus that achieves full laziness with spine duplication
A collection of educational computer games for logic in computer science, made by final-year undergraduate students.
A LaTeX package for drawing derivations in open deduction.
Folding instructions for a good-looking and reasonably-flying stealth paper airplane.
Department of Computer Science
University of Bath
Team Parsifal | LIX | École Polytechnique
Laboratory for the Foundations of Computer Science (LFCS) School of Informatics | University of Edinburgh
Doctoral thesis: Graphical Representation of Canonical Proof: Two case studies
Thesis advisor: Professor Alex Simpson
Department of Philosophy | Utrecht University
Winner of the Cognitive Artificial Intelligence thesis award 2007, Department of Philosophy, Utrecht University
Department of Computer Science 1 West 4.67 Claverton Down Bath BA2 7AY United Kingdom email@example.com