### lee-1.3 README file

    ==========================
    LEE release 1.1
    Latent Energy Environments
    ==========================

    This directory contains materials related to the Latent Energy
    Environments (LEE) software package. LEE is an artificial life
    simulator which can be used to evolve populations of neural
    networks adapting to environments of increasing complexity.

    The files in this directory are maintained by fil@ucsd.edu
    and correspond to the latest LEE Release. The same source code
    (written in C) works for both the Unix and Macintosh platforms.
    The only difference is that the Macintosh version requires a
    few extra files.

    Below follows a descriptions of the files in the directory.
    You must use the Unix 'unshar' utility to retrieve the source
    and/or executable files.

    LEE is (c) University of California, San Diego.
    Authors: Richard Belew and Filippo Menczer. Please send
    important comments, suggestions, and bugs to the latter
    (fil@ucsd.edu). You may freely copy/distribute the software,
    except for commercial purposes, and as long and the notices
    in the source headers are preserved.

    Filename         Format                 Content
    ----------------------------------------------------------------
    README           ASCII                  general info (this file)
    lee.doc          ASCII                  documentation
    pinep.ps.Z       compressed PostScript  LEE model/results paper
    lee11.Unix.sh    ASCII shar archive     LEE 1.1 Unix source
    lee11.Mac.sh     mixed shar archive     LEE 1.1 Mac add'l source
    lee11exe.Mac.sh  binhexed shar archive  LEE 1.1 Mac executables
    ----------------------------------------------------------------

    LIST OF RELATED PAPERS (as of February 1994)
    ============================================

    Menczer F and Belew RK 'Latent Energy Environments: A Model
    for Artificial Life Complexity' Technical Report CS93-298,
    July 1993, University of California, San Diego

    Menczer F and Belew RK 'Latent Energy Environments: A Tool
    for Artificial Life Simulations' Technical Report CS93-301,
    July 1993, University of California, San Diego

    Menczer F 'Changing Latent Energy Environments: A Case
    for the Evolution of Plasticity' Technical Report CS94-336,
    January 1994, University of California, San Diego

    (*) Menczer F and Belew RK 'Latent Energy Environments' to appear
    in "Plastic Individuals in Evolving Populations", Santa Fe
    Institute Studies in the Sciences of Complexity, Addison-Wesley

    (*) This paper is available on this ftp site as
        'pinep.ps.Z'. You can use 'uncompress paper.ps' to get
        the Postscript format, and 'lpr paper.ps' to print.
        An abstract follows:

    A novel ALife model and simulator, called LEE, is introduced
    and described. The motivation lies in the need for a measure
    of complexity across different ALife experiments. This goal is
    achieved through a careful characterization of environments in
    which different forms of energy are well-defined and
    conserved. A steady-state genetic algorithm is used to model
    the evolutionary process. Organisms in the population are
    modeled by neural networks with non-Lamarckian learning during
    life. Behaviors are shown to be crucial in the interactions
    between organisms and their environment. The flexibility of
    LEE for the study of a variety of problems related to complex
    evolutionary systems is illustrated by some general emerging
    properties of the model, and by preliminary results of a
    number of experiment currently under way.

    	===
            Filippo Menczer and Richard K. Belew
    	Cognitive Computer Science Research Group
    	Dept. of Computer Science and Engineering, 0114
    	University of California, San Diego
    	La Jolla, CA 92093-0114 USA
    	Fax: (619)534-7029
    	Email: fil@ucsd.edu
    	===