Category Archives: Intelligent Systems

In the Way of Inquiry • Reconciling Accounts

The Reader may share with the Author a feeling of discontent at this point, attempting to reconcile the formal intentions of this inquiry with the cardinal contentions of experience.  Let me try to express the difficulty in the form of … Continue reading

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In the Way of Inquiry • Material Exigency

Our survey of obstacles to inquiry has dealt at length with blocks arising from its formal aspects.  On the other hand, I have cast this project as an empirical inquiry, proposing to represent experimental hypotheses in the form of computer … Continue reading

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In the Way of Inquiry • Formal Apology

Using form in the sense of abstract structure, the focus of my interest in this investigation is limited to the formal properties of the inquiry process.  Among its chief constituents are numbered all the thinking and unthinking processes supporting the … Continue reading

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In the Way of Inquiry • Justification Trap

There is a particular type of “justification trap” a person can fall into, of trying to prove the scientific method by solely deductive means, that is, of trying to show the scientific method is a good method by starting from … Continue reading

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In the Way of Inquiry • Initial Unpleasantness

Clouds and thunder: The image of Difficulty at the Beginning. Thus the superior man Brings order out of confusion. — I Ching ䷂ Hexagram 3 Inquiry begins in doubt, a debit of certainty and a drought of information, never a … Continue reading

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In the Way of Inquiry • Obstacles

Upon this first, and in one sense this sole, rule of reason, that in order to learn you must desire to learn, and in so desiring not be satisfied with what you already incline to think, there follows one corollary … Continue reading

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In the Way of Inquiry • Recircus

I must lie down where all the ladders start In the foul rag and bone shop of the heart. — W.B. Yeats I have in mind circling back to a point in my project on Inquiry Driven Systems, namely, the chapter … Continue reading

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Theme One Program • Motivation 6

Comments I made in reply to a correspondent’s questions about delimiters and tokenizing in the Learner module may be worth sharing here. In one of the projects I submitted toward a Master’s in psychology I used the Theme One program to … Continue reading

Posted in Algorithms, Animata, Artificial Intelligence, Boolean Functions, C.S. Peirce, Cactus Graphs, Computation, Computational Complexity, Cybernetics, Data Structures, Differential Logic, Form, Formal Languages, Graph Theory, Inquiry, Inquiry Driven Systems, Intelligent Systems, Laws of Form, Learning, Logic, Logical Graphs, Mathematics, Minimal Negation Operators, Painted Cacti, Peirce, Pragmatics, Programming, Propositional Calculus, Propositional Equation Reasoning Systems, Reasoning, Semantics, Semiotics, Sign Relations, Spencer Brown, Syntax, Visualization | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | 1 Comment

Theme One Program • Motivation 5

Since I’m working from decades-old memories of first inklings I thought I might peruse the web for current information about Zipf’s Law.  I see there is now something called the Zipf–Mandelbrot (and sometimes –Pareto) Law and that was interesting because … Continue reading

Posted in Algorithms, Animata, Artificial Intelligence, Boolean Functions, C.S. Peirce, Cactus Graphs, Computation, Computational Complexity, Cybernetics, Data Structures, Differential Logic, Form, Formal Languages, Graph Theory, Inquiry, Inquiry Driven Systems, Intelligent Systems, Laws of Form, Learning, Logic, Logical Graphs, Mathematics, Minimal Negation Operators, Painted Cacti, Peirce, Pragmatics, Programming, Propositional Calculus, Propositional Equation Reasoning Systems, Reasoning, Semantics, Semiotics, Sign Relations, Spencer Brown, Syntax, Visualization | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | 1 Comment

Theme One Program • Motivation 4

From Zipf’s Law and the category of “things that vary inversely with frequency” I got my first brush with the idea that keeping track of usage frequencies is part and parcel of building efficient codes. In its first application the … Continue reading

Posted in Algorithms, Animata, Artificial Intelligence, Boolean Functions, C.S. Peirce, Cactus Graphs, Computation, Computational Complexity, Cybernetics, Data Structures, Differential Logic, Form, Formal Languages, Graph Theory, Inquiry, Inquiry Driven Systems, Intelligent Systems, Laws of Form, Learning, Logic, Logical Graphs, Mathematics, Minimal Negation Operators, Painted Cacti, Peirce, Pragmatics, Programming, Propositional Calculus, Propositional Equation Reasoning Systems, Reasoning, Semantics, Semiotics, Sign Relations, Spencer Brown, Syntax, Visualization | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | 1 Comment