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Showing posts with label Lisp. Show all posts
Showing posts with label Lisp. Show all posts

Monday, March 06, 2017

Lisp, the Language

For some of our earliest AI applications we used the 'intelligent' language Lisp.   It was key for us to implement learning modules.   But have not seen much about it since then.    Was then intrigued to see this article about it.  Is there reason to consider it now for low level  AI applications?    In some cases, yes.  But does it have the support or libraries to leverage its use? Investigating that.  Someone out there know of current uses?

Thursday, March 17, 2016

Lucid and Cyc for Pattern Recognition

Description of Lucid, which combines pattern recognition and learned AI using Cyc,

The Next Step 
Artificial Intelligence Has Been Waiting For
Over 800 AIs can crunch your data. Only one can understand it. ... 

No way shown that I can yet test it.  Can someone give me access?  We tested Cyc in the 90s for potential enterprise use.

See also their blog and more information.

( Historical note.  It came to mind I had heard of Lucid before.  Looked them up and they had existed as a Lisp based AI company we worked with before they morphed into an OOP approach.  Then apparently had connections to early Amazon.    https://en.wikipedia.org/wiki/Lucid_Inc.  )

Thursday, January 01, 2015

Technical Experience Details

 Franz A. Dill

Substantial Consulting Considered in 2015

Data Decision Scientist.  In particular in application areas that use or combine data analytics, decision processes and cognitive interaction. Experienced in designing,evaluating and delivering systems in the enterprise to executives and decision makers in a Fortune100 company known for Analytics excellence. Experience with R, SAS, SPSS, Splunk, System Modeler, BPM systems, Tableau, Spotfire, Optimization Mathematics (CPlex). Lisp, Expert Systems ...   Managed the design, construction and delivery of dozens of systems that led to hundreds of millions of dollars in confirmed value. A sought out resource for the solution of the most wicked problems.  Consulting with IBM on the application of Watson based Advisory Systems.  A Writer, Explainer, Solver, Innovator.   Multiple University board and advisory connections. More in links below.


Franz A. Dill,   Retired Procter & Gamble
PKL Knowledge Partners LLC -  Data Decision Scientist
Cognitive Systems Institute
Advanced Analytics Consulting
Blog: http://eponymouspickle.blogspot.com
Short Bio: http://tinyurl.com/pabggc2
Phone:  (513) 405 7387
Twitter: @FranzD
Franzdill@gmail.com
Cincinnati, Ohio Area 

Monday, October 24, 2011

John McCarthy, Father of AI and Lisp Dies

We met John McCarthy at Stanford University, sometime in the 1980s.  He was a very enthusiastic promoter of AI and in particular the use of game playing systems to deliver 'intelligence'. Checkers and Chess were early implementations.  We used his language Lisp on Sun Workstations to implement knowledge based systems for Product development applications. More.

Sunday, July 31, 2011

The Hubble and Enterprise Planning

I have been reading Eric J Chaisson's Book: The Hubble Wars, a detailed view of the launch and operation of the Hubble Space Telescope. My background is in astrophysics, so the details of goals and scheduling ring true. My later career dealt with optimizing the large scale enterprise so some of Chaisson's descriptions of the Hubbell team using AI techniques to direct performance remind me of those heady intelligence times in the late 80s and early 90s. The shuttle is over now, but the Hubble is still there and there is still much need for doing things quickly and well in the enterprise. He writes about an environment written for the Hubble: . "Science Planning Intelligent Knowledge Environment. (SPIKE) a neural net, Lisp language based algorithm that includes the latest and sundry kind of smart software, expert systems and artificial intelligence techniques..... " We could use more of that kind of advanced help today. I am now taking closer look at what Spike did.

Friday, September 04, 2009

Revealing Slant in Mathematica

Jilyan Landon of Mathematica points me to a post in the Wolfram Blog. There something as mundane as an error message gives a hint to how well integrated Mathematica is. Reminds me of such arcane and now little-used languages like Lisp. Good example of why it could be used for applications like Wolfram-Alpha. The point may be lost on those without some computer science background, but it is a good one.