Complex Insight - Understanding our world
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A few things the Symbol Research team are reading.  Complex Insight is curated by Phillip Trotter (www.linkedin.com/in/phillip-trotter) from Symbol Research
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Adaptive Computation: The Multidisciplinary Legacy of John H. Holland

Adaptive Computation: The Multidisciplinary Legacy of John H. Holland | Complex Insight - Understanding our world | Scoop.it
From cacm.acm.org - August 8, 2016 5:13 AM
John H. Holland's general theories of adaptive processes apply across biological, cognitive, social, and computational systems.
Phillip Trotter's insight:
I first came across John Holland's work in a an article while I was at High School some 30 years ago. A few years later he kindly answered my questions in an out of the blue phone call and then over the years in conversations at conferences and in emails.  I have always been in awe of the breadth of his vision and interests, intrigued by his ideas and appreciated the fact he would take time to encourage research and passionate discussion. Sadly with his passing last year - we lost a truly original insight. Stephanie Forrest and Melanie Mitchells article for the ACM captures the breadth of his interests, his wonderful legacy of ideas and perhaps more importantly  the example he set in his humanity and generosity. Well worth reading.
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I Contain Multitudes | Quanta Magazine

I Contain Multitudes | Quanta Magazine | Complex Insight - Understanding our world | Scoop.it
From www.simonsfoundation.org - August 21, 2014 4:11 PM
Our bodies are a genetic patchwork, possessing variation from cell to cell. Is that a good thing?
Phillip Trotter's insight:

With new methods of single cell DNA sequencing becoming available - biologists are beginning to look a the degrees of variations that exist across cells and the extent of cell to cell diversity and what this implies for biological adaptation.

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Toward a unifying framework for evolutionary processes

From www.sciencedirect.com - October 22, 2015 4:59 AM

The theory of population genetics and evolutionary computation have been evolving separately for nearly 30 years. Many results have been independently obtained in both fields and many others are unique to its respective field. We aim to bridge this gap by developing a unifying framework for evolutionary processes that allows both evolutionary algorithms and population genetics models to be cast in the same formal framework.

 

Toward a unifying framework for evolutionary processes
Tiago Paixão, et al.

Journal of Theoretical Biology
Volume 383, 21 October 2015, Pages 28–43

http://dx.doi.org/10.1016/j.jtbi.2015.07.011


Via Complexity Digest
Phillip Trotter's insight:

Interesting paper - however any paper discussing an approach to a unifying evolutionary process that discusses genetic algorithms is somewhat of a remis when doing a recap and missing John H Holland's pioneering work.   That said still worth reading.

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Software through the lens of evolutionary biology | Theory, Evolution ...

Software through the lens of evolutionary biology | Theory, Evolution ... | Complex Insight - Understanding our world | Scoop.it
From egtheory.wordpress.com - October 22, 2013 3:02 PM
My preferred job title is 'theorist', but that is often too ambiguous in casual and non-academic conversation, so I often settle for 'computer scientist'. Unfortunately, it seems that the overwhelming majority of people equate ...
Phillip Trotter's insight:

 Artem Kaznatcheev, a researcher in theoretical computer science - i.e. the ideas that underpin computing - has a wonderful write up of Stephanie Forrest's Stannislaw Ulam lecture at the SFI on using inspiration from Biology to address challenges in Software industry. The Ulam lecture is available in video - but its a few hours long - through seriously worth watching and covers modern developments in genetic programming and other approaches. If you need an abbrieviated write up of the key ideas underpinning the Professor Forrest's lecture - then Artem's write up is an awesomely succinct. Worth reading (and the lectures  linked in his article - are worth watching!) 

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