SIGEVOlution Volume 3, Issue 3, Out Now!

The new issue of SIGEVOlution is now available for you to download from:
http://www.sigevolution.org

The issue features:

An Interview with John H. Holland with an introduction by Lashon Booker
It’s Not Junk! by Clare Bates Congdon, H. Rex Gaskins, Gerardo M. Nava & Carolyn Mattingly
car racing @ CIG-2008
GECCO-2009 competitions
new issues of journals
calls & calendar

The new issue of SIGEVOlution is now available for you to download from:
http://www.sigevolution.org

The issue features:

  • An Interview with John H. Holland with an introduction by Lashon Booker
  • It’s Not Junk! by Clare Bates Congdon, H. Rex Gaskins, Gerardo M. Nava & Carolyn Mattingly
  • car racing @ CIG-2008
  • GECCO-2009 competitions
  • new issues of journals
  • calls & calendar

Beyond Homemade Artificial Data Sets in HAIS 2009

Find below the presentation of the paper Beyond Homemade Artificial Data Sets by Núria Macià, Albert Orriols-Puig, and Ester Bernadó-Mansilla in the 2009 Hybrid Artificial Intelligence Systems (HAIS’09).

This work aims at creating boundedly difficult problems for data classification whose complexity moves through different dimensions. For this purpose, this work proposes the use of a multi-objective […]

Find below the presentation of the paper Beyond Homemade Artificial Data Sets by Núria Macià, Albert Orriols-Puig, and Ester Bernadó-Mansilla in the 2009 Hybrid Artificial Intelligence Systems (HAIS’09).

This work aims at creating boundedly difficult problems for data classification whose complexity moves through different dimensions. For this purpose, this work proposes the use of a multi-objective optimization procedure to create data sets that satisfy different criteria of complexity. Please, refer to a preprint of the paper for more information.

John Holland to give a keynote at GECCO-2009 in Montreal, Canada

John H. Holland will give a keynote speech at GECCO-2009 on July 12, 2009 (Sunday), 10:40am-11:40am. The talk is entitled Genetic Algorithms: Long Ago [Past] and Far Away [Future] and the abstract of the talk follows:

It was in the mid-50’s of the 20th century when I realized that Fisher’s fundamental theorem could be extended […]

John H. Holland

John H. Holland will give a keynote speech at GECCO-2009 on July 12, 2009 (Sunday), 10:40am-11:40am. The talk is entitled Genetic Algorithms: Long Ago [Past] and Far Away [Future] and the abstract of the talk follows:

It was in the mid-50’s of the 20th century when I realized that Fisher’s fundamental theorem could be extended from individual alleles to co-adapted sets of alleles, without linearization. That led to a realization that recombination, rather than mutation, was the main mechanism providing grist for the natural selection mill. There was little theory concerning recombination in those days, but now recombination is a standard explanation for biological innovations, such as swine flu.

Much later, in the early 1990’s, GA’s provided the “adaptive” part of rule-based models of complex adaptive systems (CAS), such as the artificial stock market pioneered at the Santa Fe Institute. Tag-based signal processing occurs in systems as different as biological cells, language acquisition, and ecosystems. CAS models offer a unified way to study the on-going co-evolution of boundary and tag networks in these systems.

Another keynote speaker at GECCO-2009 is Demetri Terzopoulos, who will give the talk Artificial Life Simulation of Humans and Lower Animals: From Biomechanics to Intelligence on July 11 (Saturday) at 4.10pm-5.50pm. As if this wasn’t enough, GECCO-2009 will also feature an invited talk of Hans-Paul Schwefel at the Learning from Failures in Evolutionary Computation (LFFEC) Workshop, which is entitled Failures as stepping stones to success or per aspera ad astra.

More details can be found on GECCO-2009 webpage.

HAIS 2009

The special session Knowledge extraction based on evolutionary learning, organized by Salvador García, Albert Orriols, and José Otero, was one of the opening sessions of the 4th international conference on […]

The special session Knowledge extraction based on evolutionary learning, organized by Salvador García, Albert Orriols, and José Otero, was one of the opening sessions of the 4th international conference on hybrid artificial intelligent systems (HAIS 2009).

Its program, full of interesting talks that discussed the new trends for knowledge extraction processes by means of evolutionary algorithms, included two contributions from the GRSI entitled: Multiobjective evolutionary clustering approach to security vulnerability assessments and Beyond homemade artificial data sets, presented by Guiomar Corral and Albert Orriols respectively.

Guiomar Corral introduced an evolutionary multiobjective approach to cluster the devices of a network with similar vulnerabilities. This technique provides analysts with a map which is helpful to detect malicious attacks or unauthorized changes in the network.

Albert Orriols, in turn, addressed a hot topic in machine learning: the artificial data sets generation. He explained the importance to work under a controlled experimental framework and pointed some ideas to build it.

Salamanca will be for one more day a forum to exchange new ideas and present recent developments in the field of artificial intelligence.

HAIS 2009

The special session Knowledge extraction based on evolutionary learning, organized by Salvador García, Albert Orriols, and José Otero, was one of the opening sessions of the 4th international conference on hybrid artificial intelligent systems (HAIS 2009). Its program, full of interesting talks that discussed the new trends for knowledge extraction processes by means of evolutionary […]

The special session Knowledge extraction based on evolutionary learning, organized by Salvador García, Albert Orriols, and José Otero, was one of the opening sessions of the 4th international conference on hybrid artificial intelligent systems (HAIS 2009).

Its program, full of interesting talks that discussed the new trends for knowledge extraction processes by means of evolutionary algorithms, included two contributions from the GRSI entitled: Multiobjective evolutionary clustering approach to security vulnerability assessments and Beyond homemade artificial data sets, presented by Guiomar Corral and Albert Orriols respectively.

Guiomar Corral introduced an evolutionary multiobjective approach to cluster the devices of a network with similar vulnerabilities. This technique provides analysts with a map which is helpful to detect malicious attacks or unauthorized changes in the network.

Albert Orriols, in turn, addressed a hot topic in machine learning: the artificial data sets generation. He explained the importance to work under a controlled experimental framework and pointed some ideas to build it.

Salamanca will be for one more day a forum to exchange new ideas and present recent developments in the field of artificial intelligence.

An Example of Learning by Doing

Here is a good example of learning by doing, which was experienced in ALE2009. You will never learn how to cook paella attending a class, reading a document and writing an exam. You will learn by doing it!

ALE2009 paella Here is a good example of learning by doing, which was experienced in ALE2009. You will never learn how to cook paella attending a class, reading a document and writing an exam. You will learn by doing it!

Getting ready for HAIS 2009

Tomorrow, the international Hybrid Artificial Intelligence Systems conference (HAIS) gets started in Salamanca with the special session of Knowledge Extraction based on Evolutionary Learning (KEEL). In this special session, the following 14 papers that use evolutionary algorithms for different purposes in the field of machine learning will be presented:

A hybrid bumble bees mating optimization […]

Tomorrow, the international Hybrid Artificial Intelligence Systems conference (HAIS) gets started in Salamanca with the special session of Knowledge Extraction based on Evolutionary Learning (KEEL). In this special session, the following 14 papers that use evolutionary algorithms for different purposes in the field of machine learning will be presented:

  1. A hybrid bumble bees mating optimization – GRASP algorithm for clustering by Yannis Marinakis, Magdalene Marinaki, and Nikolaos Matsatsinis
  2. A first study on the use of cooperative coevolution for instance and feature selection in classification with nearest neighbour rule by Joaquín Derrac, Salvador García, and Francisco Herrera
  3. Unsupervised feature selection in high dimensional spaces and uncertainty by José R. Villar, María R. Suárez, Javier Sedano, and Felipe Mateos
  4. Non-dominated multi-objective evolutionary algorithm based on fuzzy rules extraction for subgroup discovery by C. J. Carmona, P. González, M.J. del Jesus, and F. Herrera
  5. A first study on the use of interval-valued fuzzy sets with genetic tuning for classification with imbalanced data-sets by J. Sanz, A. Fernández, H. Bustince, and F. Herrera
  6. Feature construction and feature selection in presence of attribute interactions by Leila S. Shafti and Eduardo Pérez
  7. Multiobjective evolutionary clustering approach to security vulnerability assessments by Guiomar Corral, Àlvaro Garcia-Piquer, Albert Orriols-Puig, Albert Fornells, and Elisabet Golobardes
  8. Beyond homemade artificial data sets by Nuria Macià, Albert Orriols-Puig, and Ester Bernadó-Mansilla
  9. A three-objective evolutionary approach to generate Mamdani fuzzy rule-based systems by Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, and Francesco Marcelloni
  10. A new component selection algorithm based on metrics and fuzzy clustering analysis by Camelia Serban, Andreea Vescan, and Horia F. Pop
  11. Multilabel classification with gene expression programming by J. L. Ávila, E. L. Gibaja, and S. Ventura
  12. An evolutionary ensemble-based method for rule extraction with distributed data by Diego M. Escalante, Miguel Angel Rodriguez, and Antonio Peregrin
  13. Evolutionary extraction of association rules: A preliminary study on their effectiveness by Nicolò Flugy Papè, Jesús Alcalá-Fdez, Andrea Bonarini, and Francisco Herrera
  14. A minimum-risk genetic fuzzy classifier based on low quality data by Ana M. Palacios, Luciano Sánchez, and Inés Couso

We’ll have to wait until tomorrow to know more what these promising titles hide.

Active Learning in Engineering (ALE 2009)

ALE2009 workshop is held in Barcelona in June 2009. The workshop gathered educators engaged in engineering education which aim at promoting a different attitude about learning engineering among students but also among professors!
See one of the issues of the workshop:
What does it take for learning to happen?

Wanting to learn (i.e., motivation)
Learning by doing
Getting feedback
Digesting what […]

ALE2009 attendees
ALE2009 workshop is held in Barcelona in June 2009. The workshop gathered educators engaged in engineering education which aim at promoting a different attitude about learning engineering among students but also among professors!

See one of the issues of the workshop:
What does it take for learning to happen?

  • Wanting to learn (i.e., motivation)
  • Learning by doing
  • Getting feedback
  • Digesting what has been learnt

Some of the open questions we should reflect on as professors and educators: do we set the correct framework for learning? Are students motivated? Do we enforce learning by doing or just learning by reading and attending classes? Are we giving our students the right feedback, or are we just giving grades? Are we providing students with tools to digest and consolidate their knowlege, or are we just letting the students pass the exams?

NIGEL 2006 Part IV: Llorà vs. Casillas

Two more NIGEL 2006 talks are available at LCS & GBML Central. This week Xavier Llorà presents how linkage learning can be achieve in Pittsburgh LCS, whereas Jorge Casillas reviews his work using XCS and Fuzzy LCS.

Related posts:NIGEL 2006 Part III: Butz vs. BarryNIGEL 2006 Part II: Dasgupta vs. BookerNIGEL 2006 Part V: […]

Related posts:

  1. NIGEL 2006 Part III: Butz vs. Barry
  2. NIGEL 2006 Part II: Dasgupta vs. Booker
  3. NIGEL 2006 Part V: Bernardó vs. Lanzi

Two more NIGEL 2006 talks are available at LCS & GBML Central. This week Xavier Llorà presents how linkage learning can be achieve in Pittsburgh LCS, whereas Jorge Casillas reviews his work using XCS and Fuzzy LCS.

Related posts:

  1. NIGEL 2006 Part III: Butz vs. Barry
  2. NIGEL 2006 Part II: Dasgupta vs. Booker
  3. NIGEL 2006 Part V: Bernardó vs. Lanzi