scholarly journals A Modal Proof Theory for Polynomial Coalgebras

2021 ◽  
Author(s):  
◽  
David Friggens

<p>The abstract mathematical structures known as coalgebras are of increasing interest in computer science for their use in modelling certain types of data structures and programs. Traditional algebraic methods describe objects in terms of their construction, whilst coalgebraic methods describe objects in terms of their decomposition, or observational behaviour. The latter techniques are particularly useful for modelling infinite data structures and providing semantics for object-oriented programming languages, such as Java. There have been many different logics developed for reasoning about coalgebras of particular functors, most involving modal logic. We define a modal logic for coalgebras of polynomial functors, extending Rößiger’s logic [33], whose proof theory was limited to using finite constant sets, by adding an operator from Goldblatt [11]. From the semantics we define a canonical coalgebra that provides a natural construction of a final coalgebra for the relevant functor. We then give an infinitary axiomatization and syntactic proof relation that is sound and complete for functors constructed from countable constant sets.</p>

2021 ◽  
Author(s):  
◽  
David Friggens

<p>The abstract mathematical structures known as coalgebras are of increasing interest in computer science for their use in modelling certain types of data structures and programs. Traditional algebraic methods describe objects in terms of their construction, whilst coalgebraic methods describe objects in terms of their decomposition, or observational behaviour. The latter techniques are particularly useful for modelling infinite data structures and providing semantics for object-oriented programming languages, such as Java. There have been many different logics developed for reasoning about coalgebras of particular functors, most involving modal logic. We define a modal logic for coalgebras of polynomial functors, extending Rößiger’s logic [33], whose proof theory was limited to using finite constant sets, by adding an operator from Goldblatt [11]. From the semantics we define a canonical coalgebra that provides a natural construction of a final coalgebra for the relevant functor. We then give an infinitary axiomatization and syntactic proof relation that is sound and complete for functors constructed from countable constant sets.</p>


2018 ◽  
Vol 60 (2) ◽  
pp. 69-77
Author(s):  
Marc Berges

Abstract The efforts around the world – CS4All in the U.S. or Computing At School in Great Britain – show that computing literacy is seen as important. One important part of computer science education deals with learning programming. So, object orientation should be in focus. But what is object orientation? Several different definitions are presented, and a definition of object orientation by its fundamental concepts is introduced. Furthermore, several educational “paradigms” are discussed. Additionally, a choice of object-oriented programming languages is presented. After all that theoretical background, some exemplary implementations of object orientation in national (German) and international curricula are shown. All in all, the article provides a broad overview of the topic of object-oriented programming in computer science education.


2015 ◽  
Vol 131 ◽  
pp. 333-342 ◽  
Author(s):  
Victor Berdonosov ◽  
Alena Zhivotova ◽  
Tatiana Sycheva

1999 ◽  
Vol 9 (3) ◽  
pp. 253-286 ◽  
Author(s):  
G. DELZANNO ◽  
D. GALMICHE ◽  
M. MARTELLI

This paper focuses on the use of linear logic as a specification language for the operational semantics of advanced concepts of programming such as concurrency and object-orientation. Our approach is based on a refinement of linear logic sequent calculi based on the proof-theoretic characterization of logic programming. A well-founded combination of higher-order logic programming and linear logic will be used to give an accurate encoding of the traditional features of concurrent object-oriented programming languages, whose corner-stone is the notion of encapsulation.


Author(s):  
Rahime Yilmaz ◽  
Anil Sezgin ◽  
Sefer Kurnaz ◽  
Yunus Ziya Arslan

A program is composed of commands, which runs within a computer or an electronic circuit. Programming is a mathematical methodology to write a program and to encode the algorithm into a notation. It can be classified into two groups such as system and application programming. System programming is a branch of the general programming that is composed of low level instructions which are used to operate and handle computer hardware. Application programming is considered as the improved version of the computer programs which can perform specific tasks. One of the application programming types is the object-oriented programming (OOP) which is about how information is represented in human mind. OOP is useful to provide easy modeling in design and developing real entities. This approach is aimed to model the entities and the relationships existing between them. OOP enables to define the required classes to create the objects and to apply modifications on them. The inherent properties of OOP are modularity, extensibility and reusability. This chapter provides a substantial survey of OOP.


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