基本信息
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职业迁徙
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Research interests
Keywords: Logic, Formal Methods, Foundations of Synthesis and Planning, Finite and Algorithmic Model Theory.
Dr Sasha Rubin investigates how the discipline of Logic can be applied to enhance our understanding digital processes, with the aim of supplying analytical tools for reasoning about computer systems.
“I am interested in extending the scope of logic to supply rigorous foundations to various areas of computer science. Logic is sometimes called the ‘calculus of computer science’, since it plays a role in computer science similar to that of calculus in traditional engineering disciplines. Logic features in a variety of areas in computer science, including computer architecture (Boolean circuits), software engineering (design, verification, synthesis, validation), programming languages (semantics), databases (query languages), artificial intelligence (automated reasoning, symbolic AI, reasoning about action, planning), algorithms (complexity and expressiveness), and the theory of computation (models of computation).
“Currently, I am working on supplying logical foundations for controlling and reasoning about single- and multi-agent systems in uncertain environments. This is made challenging because we would like to reason about how agent behaviour changes over time, what different agents ‘know’ about the world, and how they may coordinate or compete in order to achieve their goals."
Keywords: Logic, Formal Methods, Foundations of Synthesis and Planning, Finite and Algorithmic Model Theory.
Dr Sasha Rubin investigates how the discipline of Logic can be applied to enhance our understanding digital processes, with the aim of supplying analytical tools for reasoning about computer systems.
“I am interested in extending the scope of logic to supply rigorous foundations to various areas of computer science. Logic is sometimes called the ‘calculus of computer science’, since it plays a role in computer science similar to that of calculus in traditional engineering disciplines. Logic features in a variety of areas in computer science, including computer architecture (Boolean circuits), software engineering (design, verification, synthesis, validation), programming languages (semantics), databases (query languages), artificial intelligence (automated reasoning, symbolic AI, reasoning about action, planning), algorithms (complexity and expressiveness), and the theory of computation (models of computation).
“Currently, I am working on supplying logical foundations for controlling and reasoning about single- and multi-agent systems in uncertain environments. This is made challenging because we would like to reason about how agent behaviour changes over time, what different agents ‘know’ about the world, and how they may coordinate or compete in order to achieve their goals."
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