Bio-Inspired Artificial Intelligence: Theories, Methods, and by Dario Floreano, Claudio Mattiussi

By Dario Floreano, Claudio Mattiussi

A complete advent to new techniques in man made intelligence and robotics which are encouraged through self-organizing organic strategies and structures.

Traditionally man made intelligence has been all for trying to mirror the cognitive skills of the human mind. substitute techniques to man made intelligence take proposal from a much wider variety of organic procedures akin to evolution, networks of neurons and studying. In contemporary a long time there was an explosion of recent synthetic intelligence equipment encouraged by way of much more organic approaches, akin to the immune approach, colonies of ants, actual embodiment, improvement, coevolution, self-organization, and behavioral autonomy, to say quite a few. ‘‘Bio-Inspired man made Intelligence: Theories, tools, and Technologies’’, by means of Dario Floreano and Claudio Mattiussi, is a scientific and finished advent to the rising box that teams these kind of tools: biologically encouraged synthetic intelligence. accordingly, it discusses organic and synthetic platforms that function at a variety of time and house scales, yet manages to maneuver fluently from sluggish evolutionary time, to life-time studying, to actual time version. at the area scale, it is going from person cells and neurons, to multicellular organisms, and the entire solution to societies. i discovered this ebook amazing for a minimum of purposes. First, it presents a coherent highbrow framework to arrange these kind of computational advancements by means of grounding them of their organic nature and within the pervasiveness of evolution all through biology. moment, it offers a transparent, wellwritten, accomplished, and authoritative account of those advancements in an academic structure like minded for a school room. The authors be capable to do all of that during basically 659 pages, a good accomplishment contemplating the scope and intensity of this publication. The publication is equipped in seven chapters: evolutionary structures, mobile structures, neural platforms, developmental platforms, immune platforms, behavioral structures and collective structures. The chapters usually are not self sufficient yet intended to be learn so as

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Extra info for Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents series)

Example text

The authors of the winning entry instead used an evolutionary algorithm where the fitness function measured the properties of evolving antennas against the specifications given by the mission managers. The genotype used a tree-based representation where each node was an antenna-construction command from the following list: • Forward(length, radius): Add a wire with the specified length and radius from the current location and then change the current location to the end of the wire. • Rotate-x(angle): Change the current orientation around the x-axis by the specified amount.

Furthermore, it took only three months to pro- 42 1 Evolutionary Systems duce the final result versus five months for the human-designed antenna. This result was therefore considered human-competitive against criteria 5 and 7. Although evolved antennas are more difficult to manufacture than those produced by human design, they can be quickly re-evolved if the mission constraints change. Engineers at NASA took advantage of this rapid redesign feature when it was decided that the planned nanosatellites would orbit at a different orientation and altitude and thus require a new antenna design.

Although the number of observations for good schemas is increased along generations, selective reproduction introduces a strong observation bias toward an increasingly smaller subset of the genetic strings encompassed by that schema. In other words, as the population converges toward a few genetic strings, it no longer represents a uniform sample of the schemas. Another issue of concern is to what extent building blocks really exist for a given genetic representation. And even if they do exist, the crossover operator may not be properly designed to excise and recombine them in genotypes of higher fitness.

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