Philosophy and Computing
The development of Computing has already provoked many new philosophical ideas, particularly in theories of logic, language, and mind, as well as generating some entirely new Meta-Studies of Computing and Information Science. But its philosophical importance is perhaps even more fundamental, providing A New Paradigm of Explanation. Even for philosophers with no interest in Computing as a subject of study in its own right, computers are now indispensable tools of academic life, for example in text preparation, presentation, communication, research and analysis. They also have the potential to be wonderful tools for modelling, experimentation and analysis, especially of complex phenomena (such as social or biological interactions) that resist conventional treatment. Yet most of those who take a serious interest in philosophy are unable to exploit these possibilities, because such computer modelling requires a level of understanding and technical competence not easily acquired without formal training. (For more detail on these various points, see What Can Computing Offer Philosophers?)
Meanwhile, those who learn to program can become fascinated by the philosophical horizons of the intellectual world this opens up, as they develop their abilities to think abstractly about information, languages, algorithms, and proofs. Some of these issues are rather remote from practical concerns (see Hilbert, Gödel, and Turing). But others are of clear relevance to future software engineering, especially for developments in Artificial Intelligence (see Computational & Philosophical Issues). Likewise those who aspire to develop intelligent machines face a number of fundamental Philosophical Issues in Robot Design, while information engineers increasingly have to grapple with legal and Ethical Issues raised by the ubiquitous place of computer systems in modern society. Computer scientists can benefit from studying the work of philosophers in all of these areas, though again it can be hard to bridge the frontier between the disciplines, as most education for computer scientists is relatively narrow and technical, focused more on immediate economic utility than futuristic developments or intellectual excitement.
Pioneer of Computing and thinking machines. His historic 1936 paper invented the concept of a computing machine