Advances in Mathematical Logic:
Giorgi Japaridze (乔治。札帕日泽)
Giorgi Japaridze holds two PhDs, one in philosophy (logic) from Moscow State University and the other in computer science from the University of Pennsylvania. Currently he works in the Computer Science Department of Villanova University, USA. The primary area of his research interests is logic and its applications in computer science. Computability logic - the subject of the present course - is an approach introduced by him.
乔治.札帕日泽 拥有两个博士学位：逻辑学(莫斯科大学) 和 计算机科学(宾夕法尼亚大学）。现在是美国维拉诺瓦大学计算机科学系的教授。主要研究领域：逻辑学以及逻辑学在计算机科学中的应用。可计算性逻辑 （这次课程的题目）-- 是他提出来的。
Computability is one of the most interesting and fundamental concepts in mathematics, philosophy and computer science, and it is natural to ask what logic it induces. This is where Computability Logic (CoL) comes in. It is a formal theory of computability in the same sense as classical logic is a formal theory of truth. In a broader and more proper sense, CoL is not just a particular theory but an ambitious and challenging program for redeveloping logic following the scheme “from truth to computability”.
Under the approach of CoL, logical operators stand for operations on computational problems, formulas represent such problems, and their “truth” is seen as algorithmic solvability. In turn, computational problems --- understood in their most general, interactive sense --- are defined as games played by a machine against its environment, with “algorithmic solvability” meaning existence of a machine which wins the game against any possible behavior of the environment. With this semantics, CoL provides a systematic answer to the question “what can be computed?”, just like classical logic is a systematic tool for telling what is true. Furthermore, as it happens, in positive cases “what can be computed” always allows itself to be replaced by “how can be computed”, which makes CoL of potential interest in not only theoretical computer science, but many applied areas as well, including constructive applied theories, interactive knowledge base systems, resource oriented systems for planning and action, or declarative programming languages. On the philosophical side, CoL provides new insights into the foundations of logic and constructivism.
Currently CoL is still at an early stage of development, with open problems prevailing over answered questions. For this reason it offers plenty of research opportunities, with good chances of interesting findings, for those with interests in logic and its applications in computer science.
Computability Logic Homepage (a comprehensive online overview of the subject).
计算和可计算问题在可计算性逻辑中被最普遍地理解为交互的，它们被当作一种博弈。博弈的一方是机器（计算机、智能体、机器人），另一方是环境（用户、自然、或者魔鬼本身 ），问题的可计算性意味着存在一个机器总能赢得这个博弈，逻辑运算表示在可计算问题上的操作，一个逻辑公式的有效性表示它存在“总是可计算的”问题。 由于这一语义，可计算性逻辑提供系统性的答案，“什么是可以计算的”的问题。就象经典逻辑是告诉我们“什么是真理”的系统性的工具。并且，可计算性逻辑的实例不仅是关于“什么是能计算的”，相同程度的也关于“如何被计算”。这个让可计算性逻辑不但在计算理论方面，而且许多应用领域也有潜在的优势。包括构造的应用理论、交互知识库系统、或者宣告式编程。在哲学方面，可计算性逻辑为逻辑的基础和构成主义提供新的视角。
Meeting times and place 授课时间：周三19:00-21:00, 周四19:00-21:00. 课室: 学术报告庁
There is no textbook for this course. All written materials that you may need (including lecture notes) will be made available through this web site.
Topics: Turing machines; The Church-Turing thesis; The traditional notions of computability, decidability, recursive enumerability; The fundamental limitations of algorithmic methods; Mapping reducibility; Turing reducibility; Kolmogorov complexity; Games as universal models of an agent's interaction with the environment; Static vs. dynamic games; Interactive Turing machines; Interactive computability; Interactive version of the Church-Turing thesis; Game operations (negation; choice, parallel, blind and recurrence operations); Computational meanings of logical formulas; "Truth" as computability; Logical versus non-logical validity; Cirquent calculus; System CL4; Knowledgebase systems, planning systems and applied theories based on computability logic.
Grading: There will be a comprehensive examination at the end of the course, contributing 70% toward your final grade. The remaining 30% will come from quizzes which will be given 2 to 6 times without warning, during the first 10 minutes of the class. Homework will be posted after every meeting. It will not be collected or graded. However, the questions asked on a quiz or examination will be mostly based on (or be identical with) homework questions. Students who listen actively, participate in discussions and volunteer answering questions may receive some extra credit at the time of deriving final grades.
1. Introduction What is computability logic. Computability logic versus classical logic. Unifying classical, “intuitionistic” and “linear” logics. The current state of development.
2. Mathematical and computability-theoretic preliminaries Sets. Sequences. Functions. Relations. Strings. Turing machines. The traditional concepts of computability, decidability and recursive enumerability. The limitations of the power of Turing machines. The Church-Turing thesis. Mapping reducibilty. Turing reducibility. Kolmogorov complexity
3. Constant games Games as models of interactive computational tasks.The two players. Moves, positions and runs. Constant games defined. Prefixation. Traditional computational problems as games. Departing from functionality. Departing from the input-output scheme. Departing from the depth-2 restriction. Classical propositions as games.
4. Not-necessarily-constant games Propositional versus first-order CoL. Constants and variables. Universes. Not-necessarily-constant games defined. Classical predicates and functions revisited. Predicates as elementary games. Unilegal runs and unistructural games. Visualizing unistructural games. Substituting functions for variables.
5. Negation and choice operations About the operations studied in computability logic. Negation. The double negation principle. Choice conjunction and disjunction. Choice quantifiers. DeMorgan's laws for choice operations. The constructive character of choice operations. Failure of the principle of the excluded middle for choice disjunction.
6. Parallel operations Parallel conjunction and disjunction. Free versus strict games. The law of the excluded middle for parallel disjunction. Resource-consciousness. Differences with linear logic. Parallel quantifiers. DeMorgan's laws for parallel operations. Evolution trees and evolution sequences.
7. Reduction The operation of reduction and the relation of reducibility. Examples of reductions. The variety of reduction concepts and their systematization in computability logic. Mapping reducibility is properly stronger than (simply) reducibility.
8. Blind quantifiers Unistructurality. The blind universal and existential quantifiers defined. DeMorgan's laws for blind quantifiers. The hierarchy of quantifiers. How blind quantification affects game trees.
9. Recurrence operations What the recurrences are all about. An informal look at the main types of recurrences. Parallel recurrence versus branching recurrence. Formal definition of parallel (co)recurrence. Evolution sequences for parallel recurrences. Rimplicative reductions. Primplicatively reducing multiplication to addition. Primplicatively reducing the RELATIVES problem to the PARENTS problem. Primplicatively reducing the Kolmogorov complexity problem to the halting problem. Brimplication: the ultimate concept of algorithmic reduction. Definition of branching (co)recurrence. Evolution sequences for branching recurrences. A look at some valid and invalid principles with recurrences. Alternative definition of branching (co)recurrence.
10. Static games Some intuitive characterizations of static games. Dynamic games. Pure computational problems = static games. Delays. Definition of static games.
11. Interactive computability Hard-play machines. Easy-play machines. Definition of interactive computability. The interactive version of the Church-Turing thesis.
12. The language and formal semantics of computability logic The formal language. Interpretations. Validity. Logical or nonlogical validity? Computability versus “knowability”. Closure under Modus Ponens. Other closure theorems. Uniform-constructive closure.
13. Cirquent calculus About cirquent calculus in general. The language of CL5. Cirquents. Cirquents as circuits. Formulas as cirquents. Operations on cirquents. The rules of inference of CL5. The soundness and completeness of CL5. A cirquent calculus system for classical logic. CL5 versus affine logic.
14. Logic CL4 The language of CL4. The rules of CL4. CL4 as a conservative extension of classical logic. The soundness and completeness of CL4. The decidability of the blind-quantifier-free fragment of CL4. Other axiomatizations (affine and intuitionistic logics).
15. Applied systems based on computability logic Computability logic as a problem-solving tool. Knowledgebase systems based on computability logic. Constructiveness, interactivity and resource-consciousness. Systems for planning and action based on computability logic. Applied theories based on computability logic. CoL-based arithmetic.