All Outputs (9)

Direct Lyapunov design - A synthesis procedure for motor schema using a second-order Lyapunov stability theorem (2002)
Conference Proceeding
Harper, C., & Winfield, A. (2002). Direct Lyapunov design - A synthesis procedure for motor schema using a second-order Lyapunov stability theorem. In IEEE/RSJ International Conference on Intelligent Robots and Systems (2085-2090). https://doi.org/10.1109/IRDS.2002.1041573

In this paper we propose a new procedure for construction of motor schema typically used in behaviour-based robotics. The procedure reverses the standard stability analysis approach by searching for a control function to fit a pre-defined Lyapunov f... Read More about Direct Lyapunov design - A synthesis procedure for motor schema using a second-order Lyapunov stability theorem.

Evaluating influences of a central automotive loudspeaker on perceived spatial attributes using a graphical assessment language (2002)
Conference Proceeding
Ford, N., Rumsey, F., & Nind, T. (2002). Evaluating influences of a central automotive loudspeaker on perceived spatial attributes using a graphical assessment language. In Audio Engineering Society Convention 113 (5707)

Managing the diffusion of innovation (2002)
Conference Proceeding
Nancarrow, C., & Oxley, M. (2002). Managing the diffusion of innovation

Subjective evaluation of perceived spatial differences in car audio systems using a graphical assessment language (2002)
Conference Proceeding
Ford, N., Rumsey, F. J., & Nind, T. (2002). Subjective evaluation of perceived spatial differences in car audio systems using a graphical assessment language. In Audio Engineering Society Convention 112 (5547)

Co-evolving memetic algorithms: Initial investigations (2002)
Conference Proceeding
Smith, J. (2002). Co-evolving memetic algorithms: Initial investigations. In J. J. M. Guervós, P. Adamidis, H. Beyer, H. Schwefel, & J. Fernández-Villacañas (Eds.), In Parallel Problem Solving from Nature — PPSN VII (537-546). https://doi.org/10.1007/3-540-45712-7_52

This paper presents and examines the behaviour of a system whereby the rules governing local search within a Memetic Algorithm are co-evolved alongside the problem representation. We describe the rationale for such a system, and the implementation of... Read More about Co-evolving memetic algorithms: Initial investigations.

A self-adaptive XCS (2002)
Conference Proceeding
Hurst, J., & Bull, L. (2002). A self-adaptive XCS. In P. L. Lanzi, W. Stolzmann, & S. W. Wilson (Eds.), In Advances in Learning Classifier Systems. , (57-73). https://doi.org/10.1007/3-540-48104-4_5

Self-adaptation has been used extensively to control parameters in various forms of evolutionary computation. The concept was first introduced with evolutionary strategies and it is now often used to control genetic algorithms. This paper describes t... Read More about A self-adaptive XCS.

Initial modifications to XCS for use in interactive evolutionary design (2002)
Conference Proceeding
Bull, L., Wyatt, D., & Parmee, I. (2002). Initial modifications to XCS for use in interactive evolutionary design. In J. J. Merelo, P. Adamidis, & H. Beyer (Eds.), Parallel Problem Solving from Nature—PPSN VII. , (568-577). https://doi.org/10.1007/3-540-45712-7_55

© Springer-Verlag Berlin Heidelberg 2002. Learning classifier systems represent a technique by which various characteristics of a given problem space may be deduced and presented to the user in a readable format. In this paper we present results from... Read More about Initial modifications to XCS for use in interactive evolutionary design.

Consideration of multiple objectives in neural learning classifier systems (2002)
Conference Proceeding
Bull, L., & Studley, M. (2002). Consideration of multiple objectives in neural learning classifier systems. In J. J. Merelo, P. Adamidis, & H. Beyer (Eds.), Parallel Problem Solving from Nature—PPSN VII. , (549-557). https://doi.org/10.1007/3-540-45712-7_53

© Springer-Verlag Berlin Heidelberg 2002. For effective use in a number of problem domains Learning Classifier Systems must be able to manage multiple objectives. This paper explicitly considers the case of developing the controller for a simulated m... Read More about Consideration of multiple objectives in neural learning classifier systems.

On using constructivism in neural classifier systems (2002)
Conference Proceeding
Bull, L. (2002). On using constructivism in neural classifier systems. In J. J. Merelo, P. Adamidis, & H. Beyer (Eds.), In Parallel Problem Solving from Nature — PPSN VII. , (558-567). https://doi.org/10.1007/3-540-45712-7_54

For artificial entities to achieve true autonomy and display complex life-like behaviour they will need to exploit appropriate adaptable learning algorithms. In this sense adaptability implies flexibility guided by the environment at any given time a... Read More about On using constructivism in neural classifier systems.