David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Minds and Machines 21 (2):301-322 (2011)
The increased interactivity and connectivity of computational devices along with the spreading of computational tools and computational thinking across the fields, has changed our understanding of the nature of computing. In the course of this development computing models have been extended from the initial abstract symbol manipulating mechanisms of stand-alone, discrete sequential machines, to the models of natural computing in the physical world, generally concurrent asynchronous processes capable of modelling living systems, their informational structures and dynamics on both symbolic and sub-symbolic information processing levels. Present account of models of computation highlights several topics of importance for the development of new understanding of computing and its role: natural computation and the relationship between the model and physical implementation, interactivity as fundamental for computational modelling of concurrent information processing systems such as living organisms and their networks, and the new developments in logic needed to support this generalized framework. Computing understood as information processing is closely related to natural sciences; it helps us recognize connections between sciences, and provides a unified approach for modeling and simulating of both living and non-living systems
|Keywords||Hypercomputing Models of computation Philosophy of computer science Philosophy of computing Philosophy of information Theory of computation|
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Citations of this work BETA
Robin K. Hill (2016). What an Algorithm Is. Philosophy and Technology 29 (1):35-59.
Amnon Eden (2011). Some Philosophical Issues in Computer Science. Minds and Machines 21 (2):123-133.
Bernardo Aguilera (2015). Behavioural Explanation in the Realm of Non-Mental Computing Agents. Minds and Machines 25 (1):37-56.
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