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Category Archives: Algorithm
sigmoid function fail
I thought this would be one of the easier things I had set out to do tonight. But does that look like a sigmoid function to you? Time for bed. [Update: Fixed. I am clueless with matplotlib. Need to learn. … Continue reading
Posted in Coding, Neural Networks
Tagged backpropagation, fail, matplotlib, neural network, python, sigmoid
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Consilience
Some weeks ago I finished Consilience, by EO Wilson. The book is grandly ambitious, informative, critical and didactic. And while few people would agree with everything that Wilson says, fewer still could claim that they are not better off for having read the book. First we are given sweeping overviews of the major disciplines of knowledge; a report of the condition, progress, and challenges of each discipline. This is then placed into a broad context, like approximate positioning of pieces at the start of a jigsaw puzzle. Finally, Wilson examines the gaps between these islands of human knowledge and argues that the greatest potential now lies there, in these gaps. Continue reading
Posted in Evolution, Pafnuties, Reading Log
Tagged algorithm, consilience, eo wilson, evolution, reading log
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Reading Log: Natural Language Generation by Genetic Programming
Today I read: “Language Generation for Conversational Agent by Evolution of Plan Trees with Genetic Programming” by Sungsoo Lim and Sung-Bae Cho.
The paper uses a population of (initially simple) sentences and joining operators to form new (initially more complex) sentences. They generated 20 sentences (population size), humans rated each on their quality (fitness score), and then used the fittest of these sentences to contribute to the next generation. 90 generations later, they ended up with sentences approximately 60% more fit than the first generation.
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Posted in Algorithm, Evolution, Reading Log
Tagged algorithm, evolution, evolutionary algorithm, Genetic algorithm, grammar, linguistics, pablo, publication
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Event: CIBCB 2010
“This symposium will bring together top researchers, practitioners, and students from around the world to discuss the latest advances in the field of Computational Intelligence and its application to real world problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering and related fields.” Continue reading
Anelka’s dilemma
In the Champions League Final 2008, Manchester United and Chelsea faced off in a dramatic game that ended in a penalty shootout. This was not just riveting soccer, but also fascinating game theory and economics. Economist Ignacio Palacios-Huerta had provided … Continue reading
From Bering in Mind: “If Darwin were a sports psychologist: Evolution and athletics”
via scientificamerican.com Surprisingly little evolutionarily informed research has been done on our species’ strange love affair with sports. Why do we care so much about such arbitrary and ostensibly functionless displays of physical and mental prowess? Although data derived directly … Continue reading
A Sculpture That Perpetually Sells Itself On eBay
Artist Caleb Larsen has created an art sculpture which, when connected to the Internet, perpetually attempts to sell itself on eBay. Combining Robert Morris’ Box With the Sound of Its Own Making with Baudrillard’s writing on the art auction this … Continue reading
Weightlifting ant is photo winner
Ants change the size of their feet to help them lift An amazing image of an ant lifting 100 times its body weight has won first prize in a science photography contest. The image shows an Asian weaver ant hanging … Continue reading
Link: 'Hello World' genetic algorithm
I enjoyed a post today at Hidden Clause talking about an attempt to generate the string ‘hello, world!’ using a genetic algorithm. In the first chapter of the documentation for the Watchmaker Framework Daniel W. Dyer presents an interesting genetic … Continue reading
Posted in Emergence
Tagged Emergence, fitness function, Genetic algorithm, hello world
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Link: Big Dog Robot by larvalsubjects
http://larvalsubjects.wordpress.com/2009/07/26/big-dog-robot/ …the advantage of legged robots such as this is that they can go just about anywhere. Where robots that use wheels and treads get bogged down in mud and rocky terrain, legged robots are able to tackle just about … Continue reading
Posted in Algorithm
Tagged artificial intelligence, legged robots, machine learning, robotics
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