2018-09-27: MindForth AI beeps to request input from any nearby human.
In AudMem we insert a Forth translation of the Perl code that stores the audpsi concept-number one array-row back before an "S" at the end of a word. MindForth begins to store words like "books" and "students" with a concept-number tagged to both the singular stem and to the plural word. We then clean up the AudRecog code and we fix a problem with nounlock that was interfering with answers to the query of "what do you think".
Next we implement the
Imperative module to enable
MindForth to sound a beep and to say to any nearby human user: "TEACH ME SOMETHING."
2019-10-05: MindForth resets associative tags before each operation of Indicative module.
In the MindForth artificial intelligence (AI) for robots, we will now start to display an apparatus of diagnostic messages at the start of the Indicative module to tell us the values being held in variables which serve the purpose of creating associative tags to interconnect the concepts being expressed as English words during the operation of the Indicative mind-module. Since the ConJoin module will often insert a conjunction between two thoughts being generated, the AI Mind Maintainer needs assurance that variable-values operative during one thought do not erroneously get carried over past a conjunction into the separate process of generating another thought.
Just by resetting the tsj time-of-subject variable to zero at the start of the Indicative module, we have made the Forthmind able to trigger repeated instances of logical InFerence. Each running of the Indicative module amounts to a fresh declaration of the associative tags in the conceptual flag-panel that supports the generation of ideas in the MindGrid. The following dialog still has a few problems, but it shows the repeated triggering of an inference.
john is a student DOES JOHN READ BOOKS no Indicative: tsj= 0 tvb= 0 tdo= 0 A JOHN DOES NOT READ BOOKS Indicative: tsj= 0 tvb= 0 tdo= 0 PROFESSORS TEACH THE STUDENTS AND Indicative: tsj= 0 tvb= 0 tdo= 0 STUDENTS READ THE BOOKS Indicative: tsj= 0 tvb= 0 tdo= 0 I UNDERSTAND YOU AND Indicative: tsj= 0 tvb= 0 tdo= 0 YOU ARE A MAGIC andru is student DOES ANDRU READ THE BOOKS no Indicative: tsj= 0 tvb= 0 tdo= 0 AN ANDRU DOES NOT READ THE BOOKS AND Indicative: tsj= 0 tvb= 0 tdo= 0 YOU READ THE BOOKS Indicative: tsj= 0 tvb= 0 tdo= 0 PROFESSORS TEACH THE STUDENTS AND Indicative: tsj= 0 tvb= 0 tdo= 0 STUDENTS READ THE BOOKS Indicative: tsj= 0 tvb= 0 tdo= 0 STUDENTS READ THE BOOKS AND Indicative: tsj= 0 tvb= 0 tdo= 0 I THINK
2019-10-28: Correcting a bug in the InStantiate module.
Something is putting activation on the object of a preposition, but what is it? It is coming from the actpsi area of SpreadAct. The InStantiate module was assigning each noun to the actpsi flag. When we comment out the assigning line, the AI stops making a faulty output of "MACHINE AM".
2019-10-29: Correcting a bug in the MindBoot sequence.
The agi00103C.F is erroneously saying "ME" instead of "AM" apparently because the "ME" in ROBOTS NEED ME" is being instantiated with an 8=verb instead of a 7=pronoun.
MindForth is recognizing "me" as concept #800 "BE" instead of #701 "I". Upshot: A "ME" in the MindBoot sequence at t=200 mistakenly had an audpsi of 800 ("BE") instead of 701 ("ME").