Download Artificial Intelligence, Evolutionary Computing and by Roman V. Yampolskiy (auth.), Xin-She Yang (eds.) PDF

By Roman V. Yampolskiy (auth.), Xin-She Yang (eds.)

Alan Turing pioneered many examine parts akin to man made intelligence, computability, heuristics and development formation. these days on the details age, it's difficult to visualize how the area will be with no desktops and the web. with out Turing's paintings, specifically the middle idea of Turing Machine on the middle of each computing device, cellphone and microchip at the present time, such a lot of issues on which we're so based will be impossible.

2012 is the Alan Turing yr -- a centenary party of the existence and paintings of Alan Turing. To have fun Turing's legacy and keep on with the footsteps of this amazing brain, we take this golden chance to study the newest advancements in parts of synthetic intelligence, evolutionary computation and metaheuristics, and these kind of components will be traced again to Turing's pioneer paintings. subject matters comprise Turing attempt, Turing computing device, man made intelligence, cryptography, software program trying out, snapshot processing, neural networks, nature-inspired algorithms reminiscent of bat set of rules and cuckoo seek, and multiobjective optimization and plenty of functions. those reports and chapters not just supply a well timed photo of the state-of-art advancements, but in addition offer notion for younger researchers to hold out most likely ground-breaking study within the energetic, assorted learn parts in man made intelligence, cryptography, desktop studying, evolutionary computation, and nature-inspired metaheuristics.

This edited ebook can function a well timed reference for graduates, researchers and engineers in man made intelligence, desktop sciences, computational intelligence, tender computing, optimization, and utilized sciences.

Show description

Read or Download Artificial Intelligence, Evolutionary Computing and Metaheuristics: In the Footsteps of Alan Turing PDF

Best computing books

Prüfungstrainer Informatik: 500 Fragen und Antworten für das Bachelor-Studium (German Edition)

Es ist Prüfungszeit, und Sie müssen es wissen. Und Sie werden es wissen – wenn Sie es wissen wollen. Nutzen Sie den Prüfungstrainer, so wie ein Eisbrecher den Helikopter benutzt: Um von einem guten Überblick aus eine kraft– und zeitsparende course zu finden. Dies vermeidet allzu schweres Eis und damit ein Festfahren.

High Performance Computing and Applications: Second International Conference, HPCA 2009, Shanghai, China, August 10-12, 2009, Revised Selected Papers

This booklet constitutes the completely refereed post-conference court cases of the second one overseas convention on excessive functionality Computing and functions, HPCA 2009, held in Shangahi, China, in August 2009. The seventy one revised papers provided including 10 invited displays have been rigorously chosen from 324 submissions.

High Performance Computing for Computational Science - VECPAR 2006: 7th International Conference, Rio de Janeiro, Brazil, June 10-13, 2006, Revised Selected and Invited Papers

This publication constitutes the completely refereed post-proceedings of the seventh foreign convention on excessive functionality Computing for Computational technology, VECPAR 2006, held in Rio de Janeiro, Brazil, in June 2006. The forty four revised complete papers provided including one invited paper and 12 revised workshop papers have been rigorously chosen in the course of rounds of reviewing and development for inclusion within the booklet.

Pervasive Computing for Quality of Life Enhancement: 5th International Conference On Smart Homes and Health Telematics, ICOST 2007, Nara, Japan, June 21-23, 2007. Proceedings

This booklet constitutes the refereed complaints of the fifth overseas convention On clever houses and wellbeing and fitness Telematics, ICOST 2007, held in Nara, Japan in June 2007. The 25 revised complete papers provided have been rigorously reviewed and chosen from a complete of eighty one submissions. The papers deal with present examine in augmented environments being able to consolidate embedded desktops, details home equipment, micro/nano platforms, and multi-modal sensors to supply humans unheard of degrees of entry to info and the help of info and conversation know-how.

Additional resources for Artificial Intelligence, Evolutionary Computing and Metaheuristics: In the Footsteps of Alan Turing

Example text

In this variant, collective systems (artificial as well as natural ones) perform as one superorganism, more qualified than the sum of its parts’ qualifications. • immune – as living creatures are threatened by pathogens, being external exploiters, they developed protecting immune systems. In their artificial version they protect against external attacks, internal faults and to be used in various information processing tasks perceived from the perspective of system protection. • evolutionary – where the best (fitted to environment) individuals have a chance to survive and have more offspring.

However, in the latest years yet another idea to realize AI emerged. It aims at the creation of biologically inspired evolving processes, where simple random–driven algorithms, very often using multiple instances, might be thought to bring us closer to the real artificial intelligence. Hence, we would like to compare these two different ideas of AI and explain their assumptions, applications, advantages and disadvantages. Finally, we would like to highlight the directions of future development of AI by explaining how new findings in science, improvement of algorithms, and stimulation’s in software and hardware industries will lead us to further AI development.

The so far (2006) largest simulation of a full Hodgkin Huxley neuron network was performed on the IBM Watson Research Blue Gene supercomputer using the simulator SPLIT. It was a model of cortical minicolumns, consisting of 22 million 6-compartment neurons with 11 billion synapses, with spatial delays corresponding to a 16 cm2 cortex surface and a simulation length of one second real time. Most of the computational load was due to the synapses, each holding 3 state variables. 5 MFLOPS per neuron or 1045 FLOPS per synapse.

Download PDF sample

Rated 4.89 of 5 – based on 8 votes