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On the one hand he was the ultimate digital visionary: the mathematician, logician and voracious reader who in coining the very concepts of computation and algorithm in their current form transformed human existence.
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To overcome these limitations the concept of computation off-loading came forward.
It should be stressed that there is no relation between the original Church-Turing thesis and its physical version (Pitowsky and Shagrir 2003), and while the former concerns the concept of computation that is relevant to logic (since it is strongly tied to the notion of proof which requires validation), it does not analytically entail that all computations should be subject to validation.
We have surveyed various contrasting and sometimes overlapping conceptions of computation: classical computation, connectionist computation, neural computation, formal-syntactic computation, content-involving computation, information-processing computation, functional computation, structuralist computation, and mechanistic computation.
The formal-syntactic conception of computation.
We employ various concepts of interval computations to reduce degeneration of uncertain data.
In the first of these, the concept of parallel computation is paramount.
The concept of trust computation from record weight and trust of agents has been described in [59].
The first paper by Campbell et al. looks at the concept of assured computation in the context of large-scale, dynamic systems of systems, highlighting the importance of approaches that are both end-to-end and also cross-layered.
It is noteworthy that the calculation of the total energy has to rely on a centralized scheme of information collection that is apparently run contrary to the concept of distributed computation.
The paper introduces the concept of morphological computation in the context of robot morphology, discusses its potential role in the morphology and control trade-off, and then uses it as a basis to develop a heuristic for the design of robots with reduced control requirements.
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