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Symposia

A Ubiquity symposium is an organized debate around a proposition or point of view. It is a means to explore a complex issue from multiple perspectives. An early example of a symposium on teaching computer science appeared in Communications of the ACM (December 1989).

To organize a symposium, please read our guidelines.

 

New in Ubiquity Symposia:

Evolutionary Computation and the Processes of Life Table of Contents

  1. Evolutionary Computation and the Processes of Life, Opening Statement, by Mark Burgin and Eugene Eberbach

  2. Life Lessons Taught by Simulated Evolution, by Hans-Paul Schwefel

  3. The Essence of Evolutionary Computation, by Xin Yao

  4. On the Role of Evolutionary Models in Computing, by Max Garzon

  5. Evolutionary Computation as a Direction in Nature-inspired Computing, by Hongwei Mo

  6. The Emperor is Naked: Evolutionary Algorithms for Real-World Applications, by Zbigniew Michalewicz

  7. Darwinian Software Engineering, by Moshe Sipper

  8. Evolutionary Computation and Evolutionary Game Theory, by David Fogel

  9. Evolutionary Computation in the Physical World, by Lukas Sekanina

10. Some Aspects of Computation Essential to Evolution and Life, by Hector Zenil and James Marshall

11. Towards Synthesis of Computational Life-like Processes of Functional and Evolvable Proto-systems via Extending Evolutionary Computation, by Darko Roglic

12. What the No Free Lunch Theorems Really Mean: How to Improve Search Algorithms, David Wolpert

13. Information, Biological and Evolutionary Computing, by Walter Riofrio

14. Perspectives and Reality of Evolutionary Computation, Closing Statement, by Mark Burgin and Eugene Eberbach

 

The Science in Computer Science Table of Contents

  1. The Science In Computer Science Opening Statement, by Peter Denning

  2. Computer Science Revisited, Vinton Cerf

  3. ACM President's Letter: Performance Analysis: Experimental computer science as its best, by Peter Denning

  4. Broadening CS Enrollments: An interview with Jan Cuny, by Richard Snodgrass

  5. How to Talk About Science: Five Essential Insights, Shawn Carlson

  6. The Sixteen Character Traits of Science, by Philip Yaffe

  7. Why You Should Choose Math in High School, by Espen Andersen

  8. On Experimental Algorithmics: An Interview with Catherine Mcgeoch and Bernard Moret, by Espen Andersen

  9. Empirical Software Research: An Interview with Dag Sjøberg, University of Oslo, Norway, by Walter Tichy

  10. An Interview with Mark Guzdial, by Peter Denning

  11. An Interview with David Alderson: In search of the real network science, by Peter Denning

  12. Natural Computation, by Erol Gelenbe

  13. Where’s the Science in Software Engineering?, by Walter Tichy

  14. Toward a System Design Science, by Joseph Sifakis

  15. The Computing Sciences and STEM Education, by Paul Rosenbloom

  16. Unplugging Computer Science to Find the Science, by Tim Bell

  17. Closing Statement, by Rick Snodgrass and Peter Denning

 

  



2013

  • Ubiquity symposium: Evolutionary computation and the processes of life: some computational aspects of essential properties of evolution and life
    by Hector Zenil, James A. R. Marshall
    April 2013

    While evolution has inspired algorithmic methods of heuristic optimization, little has been done in the way of using concepts of computation to advance our understanding of salient aspects of biological phenomena. The authors argue under reasonable assumptions, interesting conclusions can be drawn that are of relevance to behavioral evolution. The authors will focus on two important features of life---robustness and fitness---which, they will argue, are related to algorithmic probability and to the thermodynamics of computation, disciplines that may be capable of modeling key features of living organisms, and which can be used in formulating new algorithms of evolutionary computation.