WorldCat Identities

Husbands, Phil

Overview
Works: 36 works in 91 publications in 1 language and 3,030 library holdings
Genres: Conference papers and proceedings  History 
Roles: Author, Editor
Publication Timeline
.
Most widely held works by Phil Husbands
The mechanical mind in history by Phil Husbands( Book )

17 editions published in 2008 in English and held by 342 WorldCat member libraries worldwide

The idea of intelligent machines has become part of popular culture. Tracing the history of the actual science of machine intelligence reveals a rich network of cross-disciplinary contributions, and the origins of ideas now central to artifical intelligence, artificial life, cognitive science and neuroscience
Evolutionary robotics : First European Workshop, EvoRobot'98 : Paris, France, April 16-17, 1998 : proceedings by Phil Husbands( Book )

20 editions published in 1998 in English and Undetermined and held by 260 WorldCat member libraries worldwide

This book constitutes the thorougly refereed and revised post-workshop proceedings of the First European Workshop on Evolutionary Robotics, EvoRobot '98, held in Paris, France in April 1998. The 15 revised full papers presented outline the state of the art in this new interdisciplinary area of research and development. The introductory paper gives a survey of the use of evolutionary computing techniques for the automatic design of adaptive robots
Fourth European Conference on Artificial Life by European Conference on Artificial Life( Book )

8 editions published in 1997 in English and held by 150 WorldCat member libraries worldwide

The horizons of evolutionary robotics by Patricia A Vargas( Book )

6 editions published in 2014 in English and Undetermined and held by 140 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
Robots : the 500-year quest to make machines human by Owen Holland( Book )

2 editions published in 2017 in English and held by 67 WorldCat member libraries worldwide

Humanoid robots are some of the most wondrous machines ever built. By imagining and reconstructing ourselves in artificial bodies, we are able to discover what amazing machines we are. But while mirroring our humanity, robots also offer insights into how we have rationalized our technological ambitions, our sense of wonder at ourselves, and our position in a rapidly changing world. 'Robots: the 500-Year Quest to Make Machines Human' explores the surprisingly long history of our obsession with creating machines in human form, from 16th-century mechanized monks to the 'tin man' robots of the 1950s and cutting-edge robots from today's research labs. --Exhibition: The Science Museum, London, United Kingdom (08.02-03.09.2017)
Teaching and learning history : understanding the past 11-18 by Phil Husbands( Book )

2 editions published in 2011 in English and held by 14 WorldCat member libraries worldwide

Teaching and Learning Historyoffers a fresh and distinctive view on the teaching of history in schools at a time when the value of learning about the past is often questioned. Drawing together ideas from research, classroom practice and the voices of learners themselves, it sets out an imaginative and wide-ranging rationale for a view of history as an essential component in the learning of all young people. The book is organized around four underlying ideas: The place of history in the contemporary school curriculum The importance of inclusive practices The nature of successful history pedagogy The centrality of professionalism and innovation These four ideas interlock throughout the book as the authors review current practices, consider what history offers to all young people and offer practical guidance on developing outstanding practices for all learners. Beginning with an account of what it means to teach and learn history in schools, the authors go on to explore the main purposes
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

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

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."
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)."
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."
The application of a distributed genetic algorithm to a generic scheduling system by M McIlhagga( Book )

1 edition published in 1997 in English and held by 6 WorldCat member libraries worldwide

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."
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

An ecosystems model for integrated production planning by Phil Husbands( Book )

1 edition published in 1992 in English and held by 6 WorldCat member libraries worldwide

Abstract: "This paper re-evaluates the job-shop scheduling problem by showing how the standard definition is far more restrictive than necessary and by presenting a new technique capable of tackling a highly generalised version of the problem. This technique is based on a massively parallel distributed genetic algorithm and is capable of simultaneously optimising the process plans of a number of different components, at the same time a near-optimal schedule emerges. Underlying the evolutionary machinery is a specialised feature-based generative process planner."
A comparison of optimization techniques for integrated manufacturing planning and scheduling by M McIlhagga( Book )

1 edition published in 1996 in English and held by 5 WorldCat member libraries worldwide

Abstract: "We describe a comparison betwen Simulated Annealing (SA), Dispatch Rules (DR), and a Coevolutionary Distributed Genetic Algorithm (DGA) solving a random sample of integrated planning and scheduling (IPS) problems. We found that for a wide range of optimization criteria the DGA consistently outperformed SA and DR. The DGA finds 8-9 unique high quality solutions per run, whereas the other techniques find one. On average, each DGA solution is 10-15% better than SA solutions and 30-35% better than DR solutions."
From animals to animats 3 : proceedings of the Third International Conference on Simulation of Adaptive Behavior by Dave Cliff( Book )

1 edition published in 1994 in English and held by 5 WorldCat member libraries worldwide

Husbands and Wives by Phil Husbands( Book )

1 edition published in 1852 in English and held by 4 WorldCat member libraries worldwide

Survival of the sickest : a site-specific recombination operator for accelerated function optimization by Stephen Drake( Book )

1 edition published in 2001 in English and held by 3 WorldCat member libraries worldwide

 
moreShow More Titles
fewerShow Fewer Titles
Audience Level
0
Audience Level
1
  Kids General Special  
Audience level: 0.47 (from 0.03 for From anima ... to 0.85 for Husbands a ...)

The mechanical mind in history
Alternative Names
Husbands, P. 1961-

Husbands Phil

Husbands, Philip

Husbands, Philip 1961-

Phil Husbands English academic and computer scientist

Languages
English (70)

Covers
Evolutionary robotics : First European Workshop, EvoRobot'98 : Paris, France, April 16-17, 1998 : proceedingsFourth European Conference on Artificial LifeTeaching and learning history : understanding the past 11-18From animals to animats 3 : proceedings of the Third International Conference on Simulation of Adaptive Behavior