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The evolution of semantic systems.

William Sims Bainbridge¹

¹Division for Information and Intelligent Systems, National Science Foundation, 4201 Wilson Boulevard, Arlington, VA 22230, USA. wbainbri@nsf.gov

Annals of the New York Academy of Sciences

|June 15, 2004

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This study explores cultural genetics, applying evolutionary biology to understand how semantic systems evolve. It proposes a taxonomic system and hypotheses for analyzing cultural change, using examples from space programs and science fiction.

Area of Science:

Evolutionary Biology
Information Technology
Cultural Genetics

Background:

Semantic systems, like biological populations, evolve through meaningful relationships.
Understanding cultural evolution requires frameworks from evolutionary biology and information technology.

Purpose of the Study:

To explore research and engineering potential in the evolution of semantic systems.
To establish requirements for cultural genetics research: a robust taxonomic system and evolutionary hypotheses.

Main Methods:

Developing a rigorous, evolving taxonomic system for cultural artifacts.
Formulating hypotheses on processes driving cultural evolutionary change.
Illustrating systematic taxonomy with data from space programs, science fiction, and nanotechnology.

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Main Results:

Demonstrated systematic approaches to cultural taxonomy.
Provided examples using diverse datasets (space ideology, sci-fi, nanotechnology).

Conclusions:

Hypotheses derived from evolutionary and population biology can explain cultural evolution.
This framework facilitates research into the dynamics of semantic and cultural systems.