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.
Ubiquity Symposium: 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. Information, Biological and Evolutionary Computing, by Walter Riofrio
14. Perspectives and Reality of Evolutionary Computation, Closing Statement, by Mark Burgin and Eugene Eberbach
Ubiquity Symposium: 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
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 Richard Snodgrass
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. The Computing Sciences and STEM Education, by Paul Rosenbloom
15. Unplugging Computer Science to Find the Science, by Tim Bell
16. Closing Statement, by Richard Snodgrass and Peter Denning
Ubiquity symposium: The science in computer science: computer science revisited
by Vinton G. Cerf
The first article in this symposium, which originally appeared in the Communication the ACM, is courtesy of ACM President Vinton Cerf. Earlier this year, he called on all ACM members to commit to building a stronger science base for computer science. Cerf cites numerous open questions, mostly in software development, that cry out for experimental studies.
Ubiquity symposium: The science in computer science: opening statement
by Peter Denning
The recent interest in encouraging more middle and high school students to prepare for careers in science, technology, engineering, or mathematics (STEM) has rekindled the old debate about whether computer science is really science. It matters today because computing is such a central field, impacting so many other fields, and yet it is often excluded from high school curricula because it is not seen as a science. In this symposium, fifteen authors examine different aspects from what is science, to natural information processes, to new science-enabled approaches in STEM education.
Ubiquity symposium: Evolutionary computation and the processes of life: Darwinian software engineering: the short term, the middle ground, and the long haul
by Moshe Sipper
In this article, Moshe Sipper discusses a foreseeable future in which an entirely new paradigm of producing software will emerge. Sipper calls this software engineering revolution, "Darwinian Software Engineering"---a time when it will be possible to program computers by means of evolution.
Ubiquity symposium: Evolutionary computation and the processes of life: the emperor is naked: evolutionary algorithms for real-world applications
by Zbigniew Michalewicz
During the past 35 years the evolutionary computation research community has been studying properties of evolutionary algorithms. Many claims have been made---these varied from a promise of developing an automatic programming methodology to solving virtually any optimization problem (as some evolutionary algorithms are problem independent). However, the most important claim was related to applicability of evolutionary algorithms to solving very complex business problems, i.e. problems, where other techniques failed. So it might be worthwhile to revisit this claim and to search for evolutionary algorithm-based software applications, which were accepted by businesses and industries. In this article Zbigniew Michalewicz attempts to identify reasons for the mismatch between the efforts of hundreds of researchers who make substantial contribution to the field of evolutionary computation and the number of real-world applications, which are based on concepts of evolutionary algorithms.
Ubiquity symposium: Evolutionary computation and the processes of life: on the role of evolutionary models in computing
by Max H. Garzon
In this article in the ACM Ubiquity symposium on evolutionary computation Max H. Garzon presents reflections on the connections between evolutionary computation, natural computation, and current definitions of computer science. The primary aim and result is a more coherent, comprehensive and modern definition of computer science.
Ubiquity symposium: Evolutionary computation and the processes of life: evolutionary computation as a direction in nature-inspired computing
by Hongwei Mo
In this article evolutionary computation (EC) is considered as a kind of nature-inspired computing (NIC) paradigm. EC not only has great effect on the development of computing methods from structure to process, but also has great effect on many aspects of our society as a ubiquitous or general computational thinking. EC is still one of the best choices for problem solving among all methods when people face more and more complex problems.
Ubiquity symposium: Evolutionary computation and the processes of life: life lessons taught by simulated evolution
by Hans-Paul Schwefel
In this second article in the ACM Ubiquity symposium on evolutionary computation Hans-Paul Schwefel explores the effects of simulating evolutionary mechanisms.
Ubiquity symposium: Evolutionary computation and the processes of life: the essence of evolutionary computation
by Xin Yao
In this third article in the ACM Ubiquity symposium on evolutionary computation Xin Yao provides a deeper understanding of evolutionary algorithms in the context of classical computational paradigms. This article discusses some of the most important issues in evolutionary computation. Three major areas are identified. The first is the theoretical foundation of evolutionary computation, especially the computational time complexity analysis. The second is on algorithm design, especially on hybridization, memetic algorithms, algorithm portfolios and ensembles of algorithms. The third is co-evolution, which seems to be under studied in both theory and practice. The primary aim of this article is to stimulate further discussions, rather than to offer any solutions.
Ubiquity symposium: Evolutionary computation and the processes of life: opening statement
by Mark Burgin, Eugene Eberbach
Evolution is one of the indispensable processes of life. After biologists found basic laws of evolution, computer scientists began simulating evolutionary processes and using operations discovered in nature for solving problems with computers. As a result, they brought forth evolutionary computation, inventing different kinds operations and procedures, such as genetic algorithms or genetic programming, which imitated natural biological processes. Thus, the main goal of our Symposium is exploration of the essence and characteristic properties of evolutionary computation in the context of life and computation.