![]() ![]() For philosophers of science, it is an account of the working and reasoning process of field which is not commonly studied. Integrating with model or proof theory alone is not enough. For logicians, it is an example of success by integrating engineering needs into both model theory and proof theory. The result is a case study with multiple uses. ![]() Specifically, we follow Separation Logic, a development within theoretical computer science firmly established by O’Hearn and Pym ( 1999), Ishtiaq and O’Hearn ( 2001), and Reynolds ( 2002). ![]() This paper focuses on logic as a technology by reflecting on the achievements in verification of computer programs using logics as tools. We provide three contributions: an exploration of the extent of models merging that is necessary for success in computer science an introduction to the technical details of Separation Logic, which can be used for reasoning about other exhaustible resources and an introduction to (a subset of) the problems, process, and results of computer scientists for those outside the field. Furthermore, the history of Separation Logic for analysing programs provides a novel case for philosophers of science of how software engineers and computer scientists develop models and the components of such models. ![]() Seeking this intersection of two different senses of model provides a strategy for how computer scientists and logicians may be successful. When this occurs, both the logic and engineering benefit greatly. For these two senses of model-the engineering/conceptual and the logical-to merge in a genuine sense, each must maintain their norms of use from their home disciplines. Separation Logic is an interesting case because of its widespread success in verification tools. Scalability is a central problem, and some would even say the central problem, in appli- cations of logic in computer science. Separation Logic works because it merges the software engineer’s conceptual model of a program’s manipulation of computer memory with the logical model that interprets what sentences in the logic are true, and because it has a proof theory which aids in the crucial problem of scaling the reasoning task. Through the case of the history of Separation Logic, we explore how this assertion is more than idle poetry. Logicworks may also be known as or be related to Logicworks, Logicworks Corporation and Logicworks Systems Corporation.One might poetically muse that computers have the essence both of logic and machines. The data presented on this page does not represent the view of Logicworks and its employees or that of Zippia. None of the information on this page has been provided or approved by Logicworks. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. The employee data is based on information from people who have self-reported their past or current employments at Logicworks. Zippia gives an in-depth look into the details of Logicworks, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Logicworks. ![]()
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