Jon, you might be interested in George Mobus' Adaptrode model for neural nets. His work originally caught my attention by virtue of it being based in an associative learning algorithm: http://faculty.washington.edu/gmobus/Adaptrode/Adaptrode1/adaptrode.html A lot of neural-net architectures are based in what Barto and Anandan (1985) describe as an Associative Reward-Penalty algorithm, which received its inspiration from the work of A. Klopf (The Hedonistic Neuron). The idea being to develop automata (neurons) that are goal-directed and learn by association. Goal-directed? Associative learning? There is scope here to relate back to Peirce's categories.
sj -----Original Message----- From: Jon Awbrey [mailto:[email protected]] Sent: Friday, 12 September 2014 3:24 AM To: Stephen Jarosek Cc: 'Howard Pattee'; [email protected]; 'Peirce List' Subject: Re: Knowing how to be • through the eyes of a child Thread: StJ:http://permalink.gmane.org/gmane.science.philosophy.peirce/14024 SCR:http://permalink.gmane.org/gmane.science.philosophy.peirce/14025 StJ:http://permalink.gmane.org/gmane.science.philosophy.peirce/14026 JA:http://permalink.gmane.org/gmane.science.philosophy.peirce/14027 HP:http://permalink.gmane.org/gmane.science.philosophy.peirce/14029 JA:http://permalink.gmane.org/gmane.science.philosophy.peirce/14030 StJ:http://permalink.gmane.org/gmane.science.philosophy.peirce/14031 JA:http://permalink.gmane.org/gmane.science.philosophy.peirce/14032 Stephens, Howard, List, I spent one of parallel lives through the entire decade of the 1980s writing a single program, beginning in Lisp on a monster mainframe and porting over to Pascal on various vintages of various vendors' microcomputers. The hardest part of the nut I had to hack was the problem of integrating what programmers would call data-driven versus concept-driven styles of processing and philosophy students would recognize as empiricist versus rationalist approaches to knowledge. I did manage to get a Masters in psych out of the work, applying the resulting program to "protocol analysis" and the exploratory analysis of sequential observation data in a family interaction research study. Susan Awbrey and I wrote up a guidebook that documented the philosophical sources of the program. Aristotle and Peirce figured prominently, as I'm sure everyone can guess, and there was in addition the work of Gerald Edelman on neural embryology that may be relevant to our present discussions. The data structures that I crafted for my program bear some analogy to the "growth cones" that figure in neural development. ☞ https://www.academia.edu/5211369/Theme_One_Program_User_Guide | Edelman, Gerald M. (1988), | Topobiology : An Introduction to Molecular Embryology, Basic Books, | New York, NY. Regards, Jon Jon Awbrey wrote: > Stephens, Howard, & All, > > The literatures that have been brought to bear and might be brought to > bear on this area are indeed deep in their historical roots and richly > ramified in disciplines and perspectives. I sampled some of this > feast through the 80s and early 90s, in connection with my graduate > studies in quantitative psychology and later statistical consulting, > and I maintained a special interest in the application of > mathematical, statistical, AI and systems models to family interaction > dynamics. > > Have to run ... > More, later ... > > Jon > -- academia: http://independent.academia.edu/JonAwbrey my word press blog: http://inquiryintoinquiry.com/ inquiry list: http://stderr.org/pipermail/inquiry/ isw: http://intersci.ss.uci.edu/wiki/index.php/JLA oeiswiki: http://www.oeis.org/wiki/User:Jon_Awbrey facebook page: https://www.facebook.com/JonnyCache
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