WorldCat Identities

Harvey, Inman

Works: 22 works in 44 publications in 1 language and 793 library holdings
Genres: Conference proceedings 
Roles: Editor, Author
Classifications: QH324.2, 005.8
Publication Timeline
Most widely held works by Inman Harvey
SmartData : privacy meets evolutionary robotics ( )
4 editions published in 2013 in English and held by 350 WorldCat member libraries worldwide
SmartData empowers personal data by wrapping it in a cloak of intelligence such that it now becomes the individual's virtual proxy in cyberspace. No longer will personal data be shared or stored in the cloud as merely data, encrypted or otherwise; it will now be stored and shared as a constituent of the binary string specifying the entire SmartData agent. This agent proactively builds-in privacy, security and user preferences, right from the outset, not as an afterthought. SmartData: Privacy Meets Evolutionary Robotics includes the advances made in the technology of simulating virtual worlds, together with the ideas emerging from fields of evolutionary robotics and embodied cognition within a framework of dynamical systems as an approach toward this ultimate goal. The book brings together top researchers in the field and addresses current personal data privacy challenges in the online-world.--[Source inconnue]
The horizons of evolutionary robotics ( Book )
4 editions published in 2014 in English and held by 169 WorldCat member libraries worldwide
Evolutionary robotics (ER) aims to apply evolutionary computation techniques to thedesign of both real and simulated autonomous robots. This book soffers an authoritative overview of this rapidly developing field, presentingstate-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotics engineers, neuroscientists, and philosophers. The contributors discuss incorporating principles from neuroscience into ER; dynamical analysis ofevolved agents; constructing appropriate evolutionary pathways; spatial cognition; the coevolutionof robot brains and bodies; group behavior; the evolution of communication; translating evolvedbehavior into design principles; the development of an evolutionary robotics based methodology forshedding light on neural processes; an incremental approach to complex tasks; and the notion of mindless intelligence, complex processes from immune systems to social networks -- as a way forward for artificial intelligence
Fourth European Conference on Artificial Life by European Conference on Artificial Life( Book )
6 editions published in 1997 in English and held by 140 WorldCat member libraries worldwide
Advances in artificial life 9th European conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007 : proceedings by European Conference on Artificial Life( )
3 editions published in 2007 in English and held by 25 WorldCat member libraries worldwide
Genetic convergence in a species of evolved robot control architectures by Inman Harvey( Book )
1 edition published in 1993 in English and held by 8 WorldCat member libraries worldwide
Analysis of evolved sensory-motor controllers by Dave Cliff( Book )
1 edition published in 1992 in English and held by 7 WorldCat member libraries worldwide
Unconstrained evolution and hard consequences by Adrian Thompson( Book )
3 editions published in 1995 in English and held by 7 WorldCat member libraries worldwide
Abstract: "Artificial evolution as a design methodology for hardware frees many of the simplifying constraints normally imposed to make design by humans tractable. However, this freedom comes at some cost, and a whole fresh set of issues must be considered. Standard genetic algorithms are not generally appropriate for hardware evolution when the number of components need not be predetermined. The use of simulations is problematic, and robustness in the presence of noise or hardware faults is important. We present theoretical arguments, and illustrate with a physical piece of hardware evolved in the real-world ('intrinsically evolved' hardware). A simple asynchronous digital circuit controls a real robot, using a minimal sensorimotor control system of 32 bits of RAM and a few flip-flops to co-ordinate sonar pulses and motor pulses with no further processing. This circuit is tolerant to single-stuck-at-faults in the RAM. The methodology is applicable to many types of hardware, including Field-Programmable Gate Arrays (FPGA's)."
Untimed and misrepresented connectionism and the computer metaphor by Inman Harvey( Book )
1 edition published in 1992 in English and held by 7 WorldCat member libraries worldwide
Abstract: "The computer metaphor for the mind or brain has long outlived its usefulness, being based on Cartesian ideas. Connectionism has not broken free from this metaphor, and this has stunted the directions connectionist research has taken. The subordinate role of timing in computations has resulted in networks with real-value timelags on signals passing between nodes being ignored. The notion of representation in connectionism is generally confused; this can be clarified when at all times it is made explicit who or what Q and S are in the formula 'P is used by Q to represent R to S'. Frequently they may be layers or modules within a network, but the typical confusion is symptomatic of the computer metaphor which in practice favours feedforward and militates against arbitrarily connected networks. Rejecting this metaphor, an alternative paradigm is suggested of a brain as a complex dynamical system; investigating the dynamics of arbitrarily connected networks with real- valued timelags, specified so as to produce appropriate behaviour when they act as a nervous system for an organism or machine in continuous longterm interaction with its environment. The practical differences a change of metaphor makes are pointed out, and possible techniques for pursuing this line are indicated."
Incremental evolution of neural network architectures for adaptive behaviour by David Cliff( Book )
1 edition published in 1992 in English and held by 7 WorldCat member libraries worldwide
Abstract: "This paper describes aspects of our ongoing work in evolving recurrent dynamical artificial neural networks which act as sensory-motor controllers, generating adaptive behaviour in artificial agents. We start with a discussion of the rationale for our approach. Our approach involves the use of recurrent networks of artificial neurons with rich dynamics, resilience to noise (both internal and external); and separate excitation and inhibition channels. The networks allow artificial agents (simulated or robotic) to exhibit adaptive behaviour. The complexity of designing networks built from such units leads us to use our own extended form of genetic algorithm, which allows for incremental automatic evolution of controller-networks. Finally, we review some of our recent results, applying our methods to work with simple visually-guided robots. The genetic algorithm generates useful network architectures from an initial set of randomly-connected networks. During evolution, uniform noise was added to the activation of each neuron. After evolution, we studied two evolved networks, to see how their performance varied when the noise range was altered. Significantly, we discovered that when the noise was eliminated, the performance of the networks degraded: the networks use noise to operate efficiently."
Analysing recurrent dynamical networks evolved for robot control by Phil Husbands( Book )
1 edition published in 1993 in English and held by 7 WorldCat member libraries worldwide
Issues in evolutionary robotics by Inman Harvey( Book )
2 editions published in 1992 in English and held by 6 WorldCat member libraries worldwide
Abstract: "In this paper we propose and justify a methodology for the development of the control systems, or 'cognitive architectures', of autonomous mobile robots. We argue that the design by hand of such control systems becomes prohibitively difficult as complexity increases. We discuss an alternative approach, involving artificial evolution, where the basic building blocks for cognitive architectures are adaptive noise- tolerant dynamical neural networks, rather than programs. These networks may be recurrent, and should operate in real time. Evolution should be incremental, using an extended and modified version of genetic algorithms. We finally propose that, sooner rather than later, visual processing will be required in order for robots to engage in non-trivial navigation behaviours. Time constraints suggest that initial architecture evaluations should be largely done in simulation. The pitfalls of simulations compared with reality are discussed, together with the importance of incorporating noise. To support our claims and proposals, we present results from some preliminary experiments where robots which roam office- like environments are evolved."
General visual robot controller networks via artificial evolution by Dave Cliff( Book )
1 edition published in 1994 in English and held by 6 WorldCat member libraries worldwide
Adding species adaptation genetic algorithms : a basis for a continuing SAGA by Inman Harvey( Book )
1 edition published in 1992 in English and held by 6 WorldCat member libraries worldwide
Evolutionary robotics and SAGA : the case for hill crawling and tournament selection by Inman Harvey( Book )
2 editions published in 1992 in English and held by 6 WorldCat member libraries worldwide
Abstract: "This paper will look at an evolutionary approach to robotics; partly at pragmatic issues, but primarily at theoretical issues associated with the evolutionary algorithms which are appropriate. Genetic Algorithms (GAs) are not suitable in their usual form for the evolution of cognitive structures, which must be in an incremental fashion. SAGA -- Species Adaptation Genetic Algorithms -- is a conceptual framework for extending GAs to variable length genotypes, where evolution allows a species of individuals to evolve from simple to more complex. In the context of species evolution the metaphor of hill-crawling as opposed to hill-climbing is introduced, and appropriate mutation rates discussed. On both pragmatic and theoretical grounds, it will be suggested that there are good reasons for using Tournament Selection in evolutionary robotics."
Evolving visually guided robots by David Cliff( Book )
1 edition published in 1992 in English and held by 6 WorldCat member libraries worldwide
Abstract: "We have developed a methodology grounded in two beliefs: that autonomous agents need visual processing capabilities, and that the approach of hand-designing control architectures for autonomous agents is likely to be superseded by methods involving the artificial evolution of comparable architectures. In this paper we present results which demonstrate that neural-network control architectures can be evolved for an accurate simulation model of a visually guided robot. The simulation system involves detailed models of the physics of a real robot built at Sussex; and the simulated vision involves ray-tracing computer graphics, using models of optical systems which could readily be constructed from discrete components. The control-network architecture is entirely under genetic control, as are parameters governing the optical system. Significantly, we demonstrate that robust visually-guided control systems evolve from evaluation functions which do not explicitly involve monitoring visual input. The latter part of the paper discusses work now under development, which allows us to engage in long-term fundamental experiments aimed at thoroughly exploring the possibilities of concurrently evolving control networks and visual sensors for navigational tasks. This involves the construction of specialised visual-robotic equipment which eliminates the need for simulated sensing."
Advances in Artificial Life: 9th European Conference, ECAL 2007 Lisbon, Portugal, September 10-14, 2007 Proceedings. Lecture Notes in Computer Science, Volume 4648 ( )
1 edition published in 2007 in English and held by 6 WorldCat member libraries worldwide
This book constitutes the refereed proceedings of the 9th European Conference on Artificial Life, ECAL 2007, held in Lisbon, Portugal, September 2007. The 125 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on conceptual articles, morphogenesis and development, robotics and autonomous agents, evolutionary computation and theory, cellular automata, models of biological systems and their applications, ant colony and swarm systems, evolution of communication, simulation of social interactions, self-replication, artificial chemistry, and posters
The puzzle of the persistent question marks : a case study of genetic drift by Inman Harvey( Book )
1 edition published in 1993 in English and held by 5 WorldCat member libraries worldwide
Abstract: "In an important paper, Hinton and Nowlan (1987) demonstrate the Baldwin effect in a simple Genetic Algorithm. The ability of the phenotype to adapt, coupled with the evolutionary process, allows behavioural goals to become over time genetically specified; this seems Lamarckian but is not. In that paper, as a subsidiary point, the slowness of fixation of the last few goals is commented on, and a later paper by Belew (1989) attempts an analysis. In this paper I show that genetic drift is the explanation for this slowness phenomenon. Using a diffusion equation approach, I give an analysis of genetic drift for genetic algorithms, where it is too often ignored. Critical relationships between mutation rate, population size, and forces of selection are given which decide whether genetic drift will be of significance or not."
Seeing the light : artificial evolution, real vision by Inman Harvey( Book )
2 editions published in 1994 in English and held by 5 WorldCat member libraries worldwide
Abstract: "This paper describes results from a specialised piece of visuo-robotic equipment which allows the artificial evolution of control systems for visually guided autonomous agents acting in the real world. Preliminary experiments with the equipment are described in which dynamical recurrent networks and visual sampling morphologies are concurrently evolved to allow agents to robustly perform simple visually guided tasks. Some of these control systems are shown to exhibit a surprising degree of adaptiveness when tested against generalised versions of the task for which they were evolved."
The artificial evolution of adaptive behaviour by Inman Harvey( Book )
3 editions published in 1995 in English and Undetermined and held by 4 WorldCat member libraries worldwide
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English (41)