It is good for your health! This is the slogan to get or give hugs in Union Square. Scientifically proved, hugs have beneficial effects on blood pressure and decrease the risk of heart diseases. Besides, they make feel good and get a smile out of anyone. Such happiness led Juan Mann to give free hugs […]
Union Square, New York (USA)
It is good for your health! This is the slogan to get or give hugs in Union Square. Scientifically proved, hugs have beneficial effects on blood pressure and decrease the risk of heart diseases. Besides, they make feel good and get a smile out of anyone. Such happiness led Juan Mann to give free hugs to strangers, which quickly became an international movement. If you want to know more, see the official web page of the Free Hug Campaign
I agree with the positive benefits of hugs but, with the swine flu floating in the atmosphere, it is not really prudent to give hugs at will to everybody.
Anyway, I confess that, in my case, curiosity was stronger than caution and I hug the girl of the picture. I felt happy for a long while thinking of what a fun situation was.
Pier Luca Lanzi just posted a few video highlights from the Simulated Car Racing Competition at CEC-2009. The winner of the competition was Thies Lonneker and Martin Butz. Congratulations!
Here’s one of the posted videos:
See also Pier Luca’s post at IlliGAL Blogging.
Pier Luca Lanzi just posted a few video highlights from the Simulated Car Racing Competition at CEC-2009. The winner of the competition was Thies Lonneker and Martin Butz. Congratulations!
Thies Lonneker & Martin Butz won the simulated car racing competition held at CEC-2009.
The competition highlights for all the races are available on youtube:
Michigan Speedway
Corkscrew
Alpine 2
The competition is part of the Simulated Car Racing Championship 2009.
The next leg will be in GECCO-2009! We look forward to see new fastest opponents!
Related Posts
Thies Lonneker & Martin Butz won the simulated car racing competition held at CEC-2009.
The competition highlights for all the races are available on youtube:
It is well known that New York is a dirty place and, unfortunately, it is true. Despite good intentions of people, something else is necessary to keep clean the City.
Manhattan, New York (USA)
It is well known that New York is a dirty place and, unfortunately, it is true. Despite good intentions of people, something else is necessary to keep clean the City.
You can use the following forms to search for text in GPEM-related journals via Google Scholar. Google Scholar doesn’t make it easy to do this perfectly, so I have employed some tricks and you still may get some false hits. This should nonetheless be useful in helping you to find and cite related work.
You can use the following forms to search for text in GPEM-related journals via Google Scholar. Google Scholar doesn’t make it easy to do this perfectly, so I have employed some tricks and you still may get some false hits. This should nonetheless be useful in helping you to find and cite related work.
Abstract We present an approach to build sequential decision making problems which can test the generalization capabilities of classifier
systems. The approach can be applied to any sequential problem defined over a binary domain and it gen…
Abstract We present an approach to build sequential decision making problems which can test the generalization capabilities of classifier
systems. The approach can be applied to any sequential problem defined over a binary domain and it generates a new problem
with bounded sequential difficulty and bounded generalization difficulty. As an example, we applied the approach to generate
two problems with simple sequential structure, huge number of states (more than a million), and many generalizations. These
problems are used to compare a classifier system with effective generalization (XCS) and a learner without generalization
(Q-learning). The experimental results confirm what was previously found mainly using single-step problems: also in sequential
problems with huge state spaces, XCS can generalize effectively by detecting those substructures that are necessary for optimal
sequential behavior.
Content Type Journal Article
DOI 10.1007/s12065-009-0019-y
Authors
Martin V. Butz, University of Würzburg Röntgenring 11 97070 Würzburg Germany
Pier Luca Lanzi, Politecnico di Milano Dipartimento di Elettronica e Informazione Milan Italy
NIGEL 2006 talks is available at LCS & GBML Central. This week Martin Butz review reviews the state of the union of XCS, where as Alwyn Barry introduces the theoretical framework for LCS that he and Jan Drugowitsch worked on.
Related posts:NIGEL 2006 Part IV: Llorà vs. CasillasNIGEL 2006 Part II: Dasgupta vs. BookerNIGEL […]
NIGEL 2006 talks is available at LCS & GBML Central. This week Martin Butz review reviews the state of the union of XCS, where as Alwyn Barry introduces the theoretical framework for LCS that he and Jan Drugowitsch worked on.
A considerable amount of research in genetic and evolutionary computing is concerned to some degree with self-adaptation — that is, with the adaptation and improvement of an evolutionary system over evolutionary time. (Try searching for “self-adaptive” in the GPEM journal search and GP-bibliography search boxes on the left.) This work connects not only to research in evolutionary biology but also to research on the origins of life, since it is concerned with the ways in which adaptive systems can themselves arise and become more adaptive.
In this context it is interesting to see today’s announcement of an apparent breakthrough in origins of life research, on a possible scenario for the emergence of RNA on prebiotic Earth. This is work by Matthew W. Powner, Beatrice Gerland, and John D. Sutherland at the University of Manchester. There’s a write-up in the New York Times, and the full report and a commentary by Jack W. Szostak are available in today’s Nature (subscription required for full text).
Among the reasons this might interest GPEM readers is the fact that the discovery was made through an intensive search of the space of chemical reaction sequences. This may be a search space within which genetic and evolutionary computation can help to find new and interesting things, if the right kinds of computational chemistry simulation systems (of which there are many) can be used for fitness testing on with the right kinds of problems. Putting all of this together to make significant discoveries will be non-trivial, but it seems to me to have potential.
Incidentally, searching for “origins” or “chemistry” in the journal, using the top search box on the left, produces several items of related interest that were published previously in GPEM.
A considerable amount of research in genetic and evolutionary computing is concerned to some degree with self-adaptation — that is, with the adaptation and improvement of an evolutionary system over evolutionary time. (Try searching for “self-adaptive” in the GPEM journal search and GP-bibliography search boxes on the left.) This work connects not only to research in evolutionary biology but also to research on the origins of life, since it is concerned with the ways in which adaptive systems can themselves arise and become more adaptive.
In this context it is interesting to see today’s announcement of an apparent breakthrough in origins of life research, on a possible scenario for the emergence of RNA on prebiotic Earth. This is work by Matthew W. Powner, Beatrice Gerland, and John D. Sutherland at the University of Manchester. There’s a write-up in the New York Times, and the full report and a commentary by Jack W. Szostak are available in today’s Nature (subscription required for full text).
Among the reasons this might interest GPEM readers is the fact that the discovery was made through an intensive search of the space of chemical reaction sequences. This may be a search space within which genetic and evolutionary computation can help to find new and interesting things, if the right kinds of computational chemistry simulation systems (of which there are many) can be used for fitness testing on with the right kinds of problems. Putting all of this together to make significant discoveries will be non-trivial, but it seems to me to have potential.
Incidentally, searching for “origins” or “chemistry” in the journal, using the top search box on the left, produces several items of related interest that were published previously in GPEM.
Tenth Anniversary Special Issue on Progress in Genetic Programming and Evolvable Machines
(Revised May 19, 2009; please note revised title and deadlines. 2nd revision July 15, 2009. 3rd revision September 25, 2009; please note revised schedule)
Genetic Programming and Evolvable Machines is ten years old in 2010. To mark this, a prestigious special issue of the journal will be published. A number of articles by leading figures have already been commissioned:
“Theoretical Results in Genetic Programming: The next ten years?” by Riccardo Poli, William B. Langdon, Nic McPhee and Leonardo Vanneschi
“Human Competitive Results Using Genetic Programming” by John Koza
“Genetic Programming and Evolvable Machines: Ten Years of Reviews” by William B. Langdon and Steven Gustafson
Open submissions
We encourage the submission of high quality papers that review or analyze progress in the field, present the state-of-the-art in the evolution of software and hardware, describe promising new approaches or application areas, or foundational topics in genetic programming and evolvable machines.
Subjects include, but are not limited to:
– Theoretical understanding of Genetic Programming
– Important Application Areas of Genetic Programming and Evolvable Machines
– New approaches and paradigms
– Fundamental Issues
– Wide ranging reviews and/or analysis of Research in Genetic and Evolvable Machines
Important Dates
– Paper submission deadline: November 23, 2009
– Notification of acceptance: January 15, 2009
– Final manuscript: February 15, 2010
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.All open submissions will be peer reviewed subject to the standards of the journal. Manuscripts based on previously published conference papers must be extended substantially.
Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript.
Manuscripts should be submitted to: http://GENP.edmgr.com. This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats.
All enquiries on this special issue by prospective authors should be sent to the guest editors at the addresses below.
Guest editors
Julian Miller
Department of Electronics
University of York,
Heslington, York,
YO10 5DD, UK
jfm7@ohm.york.ac.uk
Riccardo Poli
School of Computer Science and Electronic Engineering,
University of Essex,
Wivenhoe Park, Colchester,
CO4 3SQ, UK
rpoli@essex.ac.uk
Editor-in-Chief: Lee Spector, Hampshire College
Founding Editor: Wolfgang Banzhaf, Memorial University of Newfoundland
Tenth Anniversary Special Issue on Progress in Genetic Programming and Evolvable Machines
(Revised May 19, 2009; please note revised title and deadlines. 2nd revision July 15, 2009. 3rd revision September 25, 2009; please note revised schedule)
Genetic Programming and Evolvable Machines is ten years old in 2010. To mark this, a prestigious special issue of the journal will be published. A number of articles by leading figures have already been commissioned:
“Theoretical Results in Genetic Programming: The next ten years?” by Riccardo Poli, William B. Langdon, Nic McPhee and Leonardo Vanneschi
“Human Competitive Results Using Genetic Programming” by John Koza
“Genetic Programming and Evolvable Machines: Ten Years of Reviews” by William B. Langdon and Steven Gustafson
Open submissions
We encourage the submission of high quality papers that review or analyze progress in the field, present the state-of-the-art in the evolution of software and hardware, describe promising new approaches or application areas, or foundational topics in genetic programming and evolvable machines.
Subjects include, but are not limited to:
– Theoretical understanding of Genetic Programming
– Important Application Areas of Genetic Programming and Evolvable Machines
– New approaches and paradigms
– Fundamental Issues
– Wide ranging reviews and/or analysis of Research in Genetic and Evolvable Machines
Important Dates
– Paper submission deadline: November 23, 2009
– Notification of acceptance: January 15, 2009
– Final manuscript: February 15, 2010
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.All open submissions will be peer reviewed subject to the standards of the journal. Manuscripts based on previously published conference papers must be extended substantially.
Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript.
Manuscripts should be submitted to: http://GENP.edmgr.com. This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats.
All enquiries on this special issue by prospective authors should be sent to the guest editors at the addresses below.
Guest editors
Julian Miller
Department of Electronics
University of York,
Heslington, York,
YO10 5DD, UK
jfm7@ohm.york.ac.uk
Riccardo Poli
School of Computer Science and Electronic Engineering,
University of Essex,
Wivenhoe Park, Colchester,
CO4 3SQ, UK
rpoli@essex.ac.uk
Editor-in-Chief: Lee Spector, Hampshire College
Founding Editor: Wolfgang
Banzhaf, Memorial University of Newfoundland
