Prof. Goldberg’s interview by “El Mundo”

Two weeks ago, one of the most important researchers in evolutionary computation visited the GRSI. After 25 years of an intense and extensive research on genetic algorithms, our guest, Prof. David E. Goldberg, focuses his interest on a new field, the entrepreneurship, where he displays his creativity to explore which non-technical skills an […]

Two weeks ago, one of the most important researchers in evolutionary computation visited the GRSI. After 25 years of an intense and extensive research on genetic algorithms, our guest, Prof. David E. Goldberg, focuses his interest on a new field, the entrepreneurship, where he displays his creativity to explore which non-technical skills an […]

Rubén’s and Núria’s tipping point on their way toward completion

 

Today, Núria Macià  and Rubén Nicolàs, two of the most promising PhD students in our lab, have set and explained the basis of the work that will result, with no doubt,  in two fantastic PhD thesis in little time. Please, join me in congratulating both Rubén and Núria as well as their supervisors Elisabet Golobardes and […]

 

Today, Núria Macià  and Rubén Nicolàs, two of the most promising PhD students in our lab, have set and explained the basis of the work that will result, with no doubt,  in two fantastic PhD thesis in little time. Please, join me in congratulating both Rubén and Núria as well as their supervisors Elisabet Golobardes and […]

Congratulations Dr. Giovanni E. Pazienza

Yesterday, Giovanni Pazienza received his PhD degree. The examining committee awarded the thesis and the presentation, entitled Aspects of algorithms and dynamics of cellular paradigms, with an Excellent Cum Laude. They also promised him a brilliant research career for his talent, dynamism, energy, and for many other of his qualities such as… “universality […]

Yesterday, Giovanni Pazienza received his PhD degree. The examining committee awarded the thesis and the presentation, entitled Aspects of algorithms and dynamics of cellular paradigms, with an Excellent Cum Laude. They also promised him a brilliant research career for his talent, dynamism, energy, and for many other of his qualities such as… “universality […]

Many congrats Dr. Albert Orriols-Puig

On Friday 12, Albert Orriols received his PhD degree. He presented his work entitled New challenges in learning classifier systems: Mining rarities and evolving fuzzy models with a magnificent mise-en-scène which deserved the most sincere congratulations of the examining committee, especially from Prof. Goldberg who remarked that it was one of the best dissertation […]

On Friday 12, Albert Orriols received his PhD degree. He presented his work entitled New challenges in learning classifier systems: Mining rarities and evolving fuzzy models with a magnificent mise-en-scène which deserved the most sincere congratulations of the examining committee, especially from Prof. Goldberg who remarked that it was one of the best dissertation […]

A little participation at ICPR 2008

The International Conference on Pattern Recognition finished last Thursday in Tampa, Florida. 1631 papers by 3556 authors from 47 countries were submitted of which 1006 were accepted and grouped into 74 regular and 16 poster sessions. In one of the latter, we found a work on synthetic data set generation based on […]

The International Conference on Pattern Recognition finished last Thursday in Tampa, Florida. 1631 papers by 3556 authors from 47 countries were submitted of which 1006 were accepted and grouped into 74 regular and 16 poster sessions. In one of the latter, we found a work on synthetic data set generation based on […]

Incorporating characteristics of human creativity into an evolutionary art algorithm

Abstract  A perceived limitation of evolutionary art and design algorithms is that they rely on human intervention; the artist selects
the most aesthetically pleasing variants of one generation to produce the next. This paper discusses how c…

Abstract  A perceived limitation of evolutionary art and design algorithms is that they rely on human intervention; the artist selects
the most aesthetically pleasing variants of one generation to produce the next. This paper discusses how computer generated
art and design can become more creatively human-like with respect to both process and outcome. As an example of a step in
this direction, we present an algorithm that overcomes the above limitation by employing an automatic fitness function. The
goal is to evolve abstract portraits of Darwin, using our 2nd generation fitness function which rewards genomes that not just
produce a likeness of Darwin but exhibit certain strategies characteristic of human artists. We note that in human creativity,
change is less choosing amongst randomly generated variants and more capitalizing on the associative structure of a conceptual
network to hone in on a vision. We discuss how to achieve this fluidity algorithmically.

  • Content Type Journal Article
  • Category Original Paper
  • DOI 10.1007/s10710-008-9074-x
  • Authors
    • Steve DiPaola, Simon Fraser University Surrey BC Canada
    • Liane Gabora, University of British Columbia Kelowna BC Canada