Thesis topic proposals (Abschlussarbeitenthemenvorschläge)

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The following are some proposals for master thesis topics which I am willing to supervise. It is not necessary to address all goals listed for a given topic. Only one or some may be sufficient for a master or a bachelor thesis, depending on which ones and in how much depth they are treated. Contact me to talk about the details: lukasz.czajka at tu-dortmund.de (can be in German if you like).

It is also possible to propose your own topic, or I can invent a topic not listed here, in the following broad areas: functional programming, programming languages (theory and implementation), proof assistants, logic and type theory, automated theorem proving, deductive program verification.

Some paper links below require a subscription and are therefore accessible only through the university network.

Formalization (or implementation) of functional data structures

Choose some of your favourite functional data structures (e.g. from [1]) and formalize them in Coq [2] or Isabelle/HOL. For a bachelor thesis, only a good implementation of a nontrivial functional data structure in Haskell or OCaml may be sufficient.

References

  1. C. Okasaki: Purely functional data structures
  2. Y. Bertot: Coq in a hurry

Prerequisites

Suggested courses

Machine-learning premise selection for dependent type theory

Hammers [3] are automated reasoning tools for proof assistants [1], which combine machine-learning with automated theorem proving. A typical use is to prove relatively simple goals using available lemmas. The problem is to find appropriate lemmas in a large collection of all accessible lemmas and combine them to prove the goal.

The machine-learning component of a hammer, called premise selection, tries to solve the following problem: given a large library of lemma statements together with their proofs, and a goal statement G, predict which lemmas are likely useful for proving G. For machine-learning purposes, proofs are usually reduced to a set of dependencies. A dependency of a lemma L is any lemma which is used in a proof of L. Hence, given a large dataset of lemma statements with their dependencies, we want to predict an over-approximation of the set of dependencies of a new statement.

CoqHammer [4,5] is a hammer tool for Coq [1] -- a proof assistant based on dependent type theory. The goal of a thesis would be to improve premise selection in CoqHammer by adapting the work done for other proof assistants.

Goals

  1. Design a better set of features, basing on [6].
  2. Implement more machine-learning methods and compare them [3, Section 2].
  3. Investigate adapting a deep learning approach [7].
A Bachelor thesis for this topic could concentrate only on the first goal: better feature design.

References

  1. H. Geuvers: Proof Assistants: History, Ideas and Future
  2. Y. Bertot: Coq in a hurry
  3. J. Blanchette, C. Kaliszyk, L. Paulson, J. Urban: Hammering towards QED
  4. CoqHammer
  5. Ł. Czajka, C. Kaliszyk: Hammer for Coq: Automation for Dependent Type Theory
  6. C. Kaliszyk, J. Urban, J. Vyskocil: Efficient Semantic Features for Automated Reasoning over Large Theories
  7. A. Alemi, F. Chollet, N. Elen, G. Irving, C. Szegedy, J. Urban: DeepMath - Deep Sequence Models for Premise Selection

Prerequisites

Suggested courses

Improvements of CoqHammer

CoqHammer [1,2] (see also the previous topic) is an automated reasoning tool for Coq - currently the most recognisable and popular such tool for Coq. However, there are many aspects of CoqHammer that could be improved. See the TODO file for a list of current problems. Some of these problems are suitable as topics for a Master thesis. A good and ambitious student could also base a Bachelor thesis on a (partial) solution to one of the problems. If you're interested in contributing to a cutting-edge research software project used by many people, ask me about the details.

References

  1. CoqHammer
  2. Ł. Czajka, C. Kaliszyk: Hammer for Coq: Automation for Dependent Type Theory

Prerequisites

Suggested courses

Proof search in intuitionistic first-order logic

The goal of a thesis would be to generalise slightly some results from the literature [1,2,3] on the decidability of certain fragments of intuitionistic first-order logic and implement decision procedures for these fragments. Also implement an extension of the Intuition prover [4], which searches for proofs in minimal first-order logic (i.e. the universal-implicational fragment of intuitionistic logic), to handle all connectives.

Goals

  1. Extend the result from [1] on EXPSPACE-completeness of the negative fragment of minimal first-order logic without function symbols to handle all connectives and function symbols with the restriction that the size of each individual term occurring in a proof must be bounded by a constant. Analogously, extend the result from [1] on the co-NEXPTIME-completeness of the arity-bounded negative fragment of minimal first-order logic without function symbols.
  2. Adapt the results of [7] to show EXPTIME-completeness of the Horn fragment (i.e. derivability of an atom from a set of Horn clauses) with restrictions as in the previous point.
  3. Implement the above decision procedures.
  4. Extend Intuition [4] to handle all connectives, basing on [5]. The paper [5] and the current procedure of Intuition are based on an extension of the automata-theoretic algorithm from [6].
  5. Implement a decision procedure for the positive fragment [2,3]. This goal is hard and could constitute a Master thesis by itself if done in sufficient depth.
A Bachelor thesis for this topic could concentrate only on the implementation, possibly only for the universal-implicational variants of the fragments without function symbols.

References

  1. A. Schubert, P. Urzyczyn, K. Zdanowski: On the Mints Hierarchy in First-Order Intuitionistic Logic
  2. G. Mints: Solvability of the problem of deducibility in LJ for a class of formulas not containing negative occurrences of quantifiers
  3. G. Dowek, Y. Jiang: Eigenvariables, bracketing and the decidability of positive minimal intuitionistic logic
  4. Intuition prover
  5. M. Zielenkiewicz, A. Schubert: Automata Theory Approach to Predicate Intuitionistic Logic
  6. A. Schubert, W. Dekkers, H. Barendregt: Automata Theoretic Account of Proof Search
  7. B. Düdder, M. Moritz, J. Rehof, P. Urzyczyn: Bounded Combinatory Logic

Prerequisites

Suggested courses

Proof search in Pure Type Systems

The goal of a thesis would be to compare and/or implement the proof search procedures for Pure Type Systems (or the Lambda-Cube) from the papers [1,2].

References

  1. G. Dowek: A Complete Proof Synthesis Method for the Cube of Type Systems
  2. S. Lengrand, R. Dyckhoff, J. McKinna: A Focused Sequent Calculus Framework for Proof Search in Pure Type Systems

Prerequisites

Suggested courses

back to main page Last updated 23 Apr 2020 by Łukasz Czajka