idea1130

At about 1:11 p.m. today on 2018-11-30 we got the following idea.

If we want to have logical conditionals in the AI Mind involving the conjunction "IF", we can use the truth-value $tru to distinguish between outcomes. For instance, consider the following.

Computer: If you speak Russian, I need you.
Human: I speak English. I do not speak Russian.
Computer: I do not need you.

In some designated mind-module, we can trap the word "IF" and use it to assign a high $tru value to an expected input.

Just as we operated several years ago to answer questions with "yes" or "no" by testing for an associative chain, we can test for the associative chain specified by "IF" and instead of "yes" or "no" we can assign a high $tru value to the pay-off statement following the "IF" clause. It is then easy to flush out any statement having a high truth-value, or even having the highest among a cluster or group of competing truth-values.

These ideas could even apply to negated ideas, such as, "We need you if you do NOT speak Russian."

Now, here is where it gets Singularity-like and ASI-like, as in "Artificial Super Intelligence." Whereas a typical human brain would not be able to handle a whole medley of positive and negative conditionals, an AI Mind using "IF" and $tru could probably handle dozens of conditionals concurrently, either all at once or in a sequence.

pmpj0930

Ghost AI says when it does not know the answer to a query.

When the ghost.pl AI considers a what-query such as "what do kids make", some mind-module must call the SpreadAct() module to handle the what-query, but which module? We could say that the Indicative() module should make the call to SpreadAct() just before making a response in the indicative mood, but perhaps a response may need to be uttered in a mood other than indicative. The AI Mind might wish to answer the query with an imperative command like "DO NOT BOTHER ME". Or the AI might not understand the what-query and might want to ask a question about it. So perhaps we should have the Sensorium() module call SpreadAct() to respond to a what-query.

We have now introduced a new technique for answering "I DO NOT KNOW" in response to a what-query for which the AI Mind does not find an answer. The AI briefly elevates the $tru truth-value and the activation-level of the idea "I DO NOT KNOW" as stored in the MindBoot() knowledge base (KB), so that the Indicative() module expresses the momentarily true idea. Immediately afterward, the AI returns the $tru truth-value to zero.

pmpj0701

Debugging the InFerence Function in the ghost.pl First Working AGI.

The ghost264.pl Perlmind has a minor bug which causes logical inference not to work if the inference is not triggered immediately at the start of running the program. If we let the AI run a little and then we type in "anna is woman", the AI answers "DOES ERROR HAVE CHILD" instead of "DOES ANNA HAVE CHILD". In the psy concept array of the silent inference, we observe that a zero is being recorded instead of the concept number "502" for Anna. The AI MindBoot is designed with the concept of "ERROR" placed at the beginning of the boot sequence so that any fruitless search for a concept will result automatically in an "ERROR" message if no concept is found. We suspect that some variable in the InFerence module is not being loaded with the correct value when the ghost.pl AI has already started thinking various thoughts.

The pertinent item in the InFerence() module is the $subjnom or "subject nominative" variable which is set outside of the module before InFerence is even called. We discover that the variable is spelled wrong in the OldConcept module, and we correct the spelling. It then seems that InFerence() can be called at any time and still operate properly. We decide to run the JavaScript AI to see if an inference has any problems if it is not the first order of business at the outset of an AI session. Nothing goes wrong, so the problem must have been the misspelling in the OldConcept() module.

During this coding session we also make a change in the KbRetro() module for the retroactive adjustment of the knowledge base (KB). We insert some code to put an arbitrary value of eight (8) on the $tru(th)-value variable for the noun at the start of the silent inference, such as "ANNA" in the silent inference "ANNA HAVE CHILD". When the human user either confirms or invalidates the inference, the resulting knowledge ought to have a positive truth-value, because someone has vouched for the truth or the negation of the inferred idea. We envision that the $tru(th)-value will serve the purpose of letting an AI Mind restrict its thinking to ideas which it believes and not to mere assertions or to ideas which were true yesterday but not today. We expect the $tru(th)-value to become fully operative in a robotic AI Mind for which "Seeing is believing" when visual recognition from cameras serving as eyes provides reliable knowledge to which a high $tru(th)-value may be assigned.

jmpj0522

Expanding MindBoot with concepts to demonstrate AI functionality.

Today in the 22may18A.html version of the AI Mind in JavaScript (JSAI) for Microsoft Internet Explorer (MSIE), we wish to expand the MindBoot() module with a few English words and concepts necessary for the demonstration of the AI functionality. We first create a concept of "ANNA" as a woman, for two or three reasons. Firstly, we want the JSAI to be able to demonstrate automated reasoning with logical inference, and the MindBoot() sequence already contains the idea or premise that "Women have a child". Having created the Anna-concept, we typed in "anna is a woman" and the AI asked us, "DOES ANNA HAVE CHILD". If the concept of Anna were not yet known to the AI, we might instead get a query of "WHAT IS ANNA". Secondly, we want "Anna" as a name that works equally well in English or in Russian, because we may install the Russian language in the JSAI. In fact, we go beyond the mere concept of "Anna" and we insert the full sentence "ANNA SPEAKS RUSSIAN" into the MindBoot so that the AI knows something about Anna. We create 569=RUSSIAN for the Russian language, so that later we may have 169=RUSSIAN as an adjective. When we type in "you speak russian", eventually the AI outputs "I SPEAK RUSSIAN". A third reason why we install the concept 502=ANNA is for the sake of machine translation, in case we add the Russian language to the JSAI.

Next to the MindBoot() sequence we add "GOD DOES NOT PLAY DICE" in order to demonstrate negation of ideas and the use of the truth value, because we may safely assert in the AI Mind the famous Einsteinian claim about God and the universe. We type in "you know god" and the Ai responds "GOD DOES NOT PLAY DICE". Let us try "you know anna". The AI responds "ANNA SPEAKS RUSSIAN". Next we add the preposition "ABOUT" to the MindBoot so that we may ask the AI what it thinks about something or what it knows about something. We are trying to create a ruminating AI Mind that somewhat consciously thinks about its own existence and tries to communicate with the outside world.

pmpj0608

Adding $tru and $mtx to expanded and re-arranged @psy flag-panel.

Starting with ghost203.pl we want to implement our first new AI theory work in all the years we have been programming the AI based on the doubly original Theory of Mind -- original (meaning old) within our AI project, and original (meaning novel) outside of our AI project. We introduce a new $tru variable to hold dynamically the truth value of an idea as perceived by the conscious AI Mind. By default, ideas will tend to have a low or zero $tru value so that new code implementing the new theory may sparingly lend credence to ideas important only in the here and now, as the AI is forced to make decisions based on what it currently believes to be true. At the same time, we introduce a machine-translation $mtx transfer variable to let concepts being thought about in one language, such as English, cause the parallel activation of a similar concept in another natural language, such as German or Russian. With these new changes we are trying to create a ghost.pl software in Perl that SysAdmins and other persons may pass around from person to person, from computer to computer, and from website to website.

It would have been easy to simply add the new associative tags at the end of the pre-existing flag-panel for each concept in the Perl @psy array, but we seize the opportunity here not only to add two new elements to each row of the array, but also to re-arrange the order of the associative tags in the conceptual flag-panel so the tutorial presentation makes more sense and is more easily readable as the following sequence of variables

"$tru,$psi,$hlc,$act,$mtx, $jux,$pos,$dba,$num,$mfn, $pre,$iob,$seq,$tkb,$rv";