Titlebook: Unconventional Computation; 8th International Co Cristian S. Calude,José Félix Costa,Grzegorz Rozen Conference proceedings 2009 Springer-Ve

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书目名称Unconventional Computation影响因子(影响力)




书目名称Unconventional Computation影响因子(影响力)学科排名




书目名称Unconventional Computation网络公开度




书目名称Unconventional Computation网络公开度学科排名




书目名称Unconventional Computation被引频次




书目名称Unconventional Computation被引频次学科排名




书目名称Unconventional Computation年度引用




书目名称Unconventional Computation年度引用学科排名




书目名称Unconventional Computation读者反馈




书目名称Unconventional Computation读者反馈学科排名

jungle

供过于求

Using Physical Experiments as Oraclesxamine their properties when used as oracles. The fundamental ideas we have to introduce into oracles for this are the time taken to perform the experiment, and the possibility of error in the answer.

表示向前

A Tutorial on Analog Computation: Computing Functions over the Reals 1941 Claude Shannon showed that given a sufficient numbers of integrators the machines could, in theory, precisely generate the solutions of all differentially algebraic equations. Shannon’s mathematical model of the differential analyser is known as the GPAC.

left-ventricle

Computational Mechanics: Natural Computation and Self-organizationtorical information does a process store? (ii) In what architecture is that information stored? And (iii) how is the stored information used to produce future behavior? The answers to these questions tell one how a system intrinsically computes.

自然环境

Artifice, Interpretation and Nature: Key Categories in Radiology Worke because this is key to how radiologists work and think. In other words, the role that computer derived artifacts, correspondence theory and mimesis play in the clinical work of radiology will be discussed.

LARK

Developmental Computingse coupling of topology, geometry and computation constitutes a computing paradigm inspired by nature, termed developmental computing. We analyze distinctive features of this paradigm within and outside the realm of biological models.

谷物

JIBE

Random Number Selection in Self-assemblys. The second selector takes a user-specified parameter that guarantees the probabilities are arbitrarily close to uniform, at the cost of additional space. The third selector selects a random number with probability exactly 1/., and uses no more space than the first selector with high probability, but uses potentially unbounded space.

冷淡一切

Conference proceedings 2009rious applications. Typical topics are: natural computing including quantum; cellular, molecular, neural and evolutionary computing; chaos and dynamical system-based computing; and various proposals for computational mechanisms that go beyond the Turing model.