Formal Analysis of Unmanned Aerial Vehicles Using Higher-Order-Logic Theorem Proving

2020 ◽  
Vol 17 (9) ◽  
pp. 481-495
Author(s):  
Sa’ed Abed ◽  
Adnan Rashid ◽  
Osman Hasan
2019 ◽  
Vol 61 (4) ◽  
pp. 187-191
Author(s):  
Alexander Steen

Abstract Automated theorem proving systems validate or refute whether a conjecture is a logical consequence of a given set of assumptions. Higher-order provers have been successfully applied in academic and industrial applications, such as planning, software and hardware verification, or knowledge-based systems. Recent studies moreover suggest that automation of higher-order logic, in particular, yields effective means for reasoning within expressive non-classical logics, enabling a whole new range of applications, including computer-assisted formal analysis of arguments in metaphysics. My work focuses on the theoretical foundations, effective implementation and practical application of higher-order theorem proving systems. This article briefly introduces higher-order reasoning in general and presents an overview of the design and implementation of the higher-order theorem prover Leo-III. In the second part, some example applications of Leo-III are discussed.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Jie Zhang ◽  
Danwen Mao ◽  
Yong Guan

Theorem proving is an important approach in formal verification. Higher-order logic is a form of predicate logic that is distinguished from first-order logic by additional quantifiers and stronger semantics. Higher-order logic is more expressive. This paper presents the formalization of the linear space theory in HOL4. A set of properties is characterized in HOL4. This result is used to build the underpinnings for the application of higher-order logic in a wider spectrum of engineering applications.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 27291-27307
Author(s):  
Adnan Rashid ◽  
Muhammad Umair ◽  
Osman Hasan ◽  
Mohamed H. Zaki

In this chapter, the authors first provide the overall methodology for the theorem proving formal probabilistic analysis followed by a brief introduction to the HOL4 theorem prover. The main focus of this book is to provide a comprehensive framework for formal probabilistic analysis as an alternative to less accurate techniques like simulation and paper-and-pencil methods and to other less scalable techniques like probabilistic model checking. For this purpose, the HOL4 theorem prover, which is a widely used higher-order-logic theorem prover, is used. The main reasons for this choice include the availability of foundational probabilistic analysis formalizations in HOL4 along with a very comprehensive support for real and set theoretic reasoning.


Sign in / Sign up

Export Citation Format

Share Document