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A Path to Artificial General Intelligence

A Path to Artificial General Intelligence. Sunday, September 20, 2015. Comparison with other solvers. I have recently came across an AGI conference 2015 paper [Schmid2015] comparing various programs solving number series problems. A detailed investigation was held on. IGOR2 program and Artificial Neural Networks (ANN) approach. As series of 20 numerical tests were conducted. I reran these tests on IQSolver and it scored better (twice less failures). Here is the table of results copied from. 2,5,8,11,14.

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A Path to Artificial General Intelligence | iqsolver.blogspot.com Reviews
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A Path to Artificial General Intelligence. Sunday, September 20, 2015. Comparison with other solvers. I have recently came across an AGI conference 2015 paper [Schmid2015] comparing various programs solving number series problems. A detailed investigation was held on. IGOR2 program and Artificial Neural Networks (ANN) approach. As series of 20 numerical tests were conducted. I reran these tests on IQSolver and it scored better (twice less failures). Here is the table of results copied from. 2,5,8,11,14.
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6 match
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A Path to Artificial General Intelligence | iqsolver.blogspot.com Reviews

https://iqsolver.blogspot.com

A Path to Artificial General Intelligence. Sunday, September 20, 2015. Comparison with other solvers. I have recently came across an AGI conference 2015 paper [Schmid2015] comparing various programs solving number series problems. A detailed investigation was held on. IGOR2 program and Artificial Neural Networks (ANN) approach. As series of 20 numerical tests were conducted. I reran these tests on IQSolver and it scored better (twice less failures). Here is the table of results copied from. 2,5,8,11,14.

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1

A Path to Artificial General Intelligence: Comparison with other solvers

http://iqsolver.blogspot.com/2015/09/comparison-with-other-solvers.html

A Path to Artificial General Intelligence. Sunday, September 20, 2015. Comparison with other solvers. I have recently came across an AGI conference 2015 paper [Schmid2015] comparing various programs solving number series problems. A detailed investigation was held on. IGOR2 program and Artificial Neural Networks (ANN) approach. As series of 20 numerical tests were conducted. I reran these tests on IQSolver and it scored better (twice less failures). Here is the table of results copied from. 2,5,8,11,14.

2

A Path to Artificial General Intelligence: Why this approach?

http://iqsolver.blogspot.com/2015/08/why-this-approach.html

A Path to Artificial General Intelligence. Monday, August 3, 2015. In this post I want to explain the rationale behind the chosen approach. Another question "My neighbour claims he keeps whale in his house, should I believe him? As far as I know even semantic networks cannot cope with such a questions, but if you know of such implementation - please post a link to page where we can test such AI engine. I think that it is much easier for AI to gain common-sense in virtual worlds of for example computer ga...

3

A Path to Artificial General Intelligence: Generating knowledge

http://iqsolver.blogspot.com/2015/09/generating-knowledge.html

A Path to Artificial General Intelligence. Monday, September 14, 2015. IQSolver generates conjectures about data. Some of them are justified by 1 observation (entries), others by many. This is similar to truth value in PLN. Thus, AI should make detailed analyses in this cases but do not reject the general rule. So what should be done if q is not always true? Maybe for conjecture q. There is another conjecture p. So that always p = q. If so, a new complex conjecture will be created stating that p = q.

4

A Path to Artificial General Intelligence: August 2015

http://iqsolver.blogspot.com/2015_08_01_archive.html

A Path to Artificial General Intelligence. Monday, August 3, 2015. In this post I want to explain the rationale behind the chosen approach. Another question "My neighbour claims he keeps whale in his house, should I believe him? As far as I know even semantic networks cannot cope with such a questions, but if you know of such implementation - please post a link to page where we can test such AI engine. I think that it is much easier for AI to gain common-sense in virtual worlds of for example computer ga...

5

A Path to Artificial General Intelligence: Potential applications

http://iqsolver.blogspot.com/2015/09/potential-applications.html

A Path to Artificial General Intelligence. Wednesday, September 16, 2015. After this AI for performing induction in a human-like style is created, it could be used in many application, which require now man's work. And it is sometimes easier to understand the game if you have some knowledge about the domain it refers to (for example Agricola. Is much less intuitive when you have no idea about farming). But generally games are worlds in their own. Transformation Builder. Building transformation betwee...

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Machine Learning a Super Mario Bros | SmarterPoland.pl

http://smarterpoland.pl/index.php/2015/07/machine-learning-a-super-mario-bros

Nagrania z ICML 2016. Liczba medali na olimpiadzie w Rio a wielkość kraju. BetaBit#3: nowa mini gra dla przyjaciół funkcji lm(). O Statystyk na wakacjach. O Statystyk na wakacjach. O Statystyk na wakacjach. O Statystyk na wakacjach. O Statystyk na wakacjach. Machine Learning a Super Mario Bros. Świetne wprowadzenie opisujące algorytm grający w Super Mario Bros jest przedstawione na poniższym filmie. 2 myśli na temat “Machine Learning a Super Mario Bros”. 31 lipca 2015 o 22:01. Osobiście mam pomysł na inn...

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A Path to Artificial General Intelligence

A Path to Artificial General Intelligence. Sunday, September 20, 2015. Comparison with other solvers. I have recently came across an AGI conference 2015 paper [Schmid2015] comparing various programs solving number series problems. A detailed investigation was held on. IGOR2 program and Artificial Neural Networks (ANN) approach. As series of 20 numerical tests were conducted. I reran these tests on IQSolver and it scored better (twice less failures). Here is the table of results copied from. 2,5,8,11,14.

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