Older blog entries for mentifex (starting at number 78)

JavaScript AI Mind Programming Journal -- Fri.10.JUN.2011

Fri.10.JUN.2011 -- The AI Mind Needs MSIE.

When we first started coding the JavaScript artificial intelligence (JSAI) back in anno 2000, we tried to make it cross-browser compatible, especially with Netscape Navigator. Unfortunately, as the artificial Mind quickly became extremely complex, we found that we could not maintain compatibility, and that it was too distracting to try. It was hard enough to code the AI in Microsoft Internet Explorer (MSIE), but at least MSIE gave us the functionality that the AI Mind needed.

Meanwhile the AI Mind has evolved in both jJavaScript and Win32Forth. Sometimes the JSAI was ahead of the Forth AI, and sometimes vice versa. In our efforts to get mental phenomena to work in either programming language, we sometimes veered apart in one language from our current algorithm in the other language. Now we are bringing the AI codebase back into as close a similarity as possible in both MSIE JavaScript and Win32Forth (plus 64-bit iForth). We may not offer cross-browser compatibility, but we are making our free AI source code more understandable by letting Netizens examine each mind-module in either Forth or JavaScript.

Fri.10.JUN.2011 -- Solving the AI Identity Crisis

Today we have been running the AI Mind in both JavaScript and Forth so as to troubleshoot the inability of the JSAI to answer the input question "who are you" properly. The JSAI was responding "I HELP KIDS", which is an idea stored in the knowledge base (KB) of the AI as it comes to life in either Forth or JavaScript. The input query is supposed to activate the concept of "BE" sufficiently to override the activation of the verb "HELP" that comes to mind when the Mind tries to say something about itself. We had to adjust the values in the JSAI NounAct module slightly lower for the creation of a "spike" of spreading activation, so that the "BE" concept would win out over the "HELP" concept in the generation of a thought. We have removed the identity crisis of an AI that could describe itself in terms of doing but not being.

We gradually improve the AI Mind in JavaScript by identifying and combatting the most glaring bug or glitch that pops up when we summon the virtual entity into existence. Any Netizen using MSIE may simply click on a link to the AiMind program and watch the primitive creature start thinking and communicating. The AI would need a robot body and sensors to flesh out its concepts with knowledge of the real world, but we may approach the AI with a Kritik der reinen Vernunft -- as a German philosopher once wrote about "The Critique of Pure Reason." We are building a machine intellect of pure, unfleshed-out reason, able to think with you and to discuss its thought with you. Our process of eliminating each glitch or bug when we notice it, means that the AI Mind has the chance to evolve in two ways. The first AI evolution occurs in these initial offerings of the AI software to our fellow AI enthusiasts. The second AI evolution occurs when the AI propagates to other habitats such as the http://aimind-i.com website. If you are the CEO of a corporate entity, you had better ask around and find out who in your outfit is in charge of keeping up with AI evolution and how many Forthcoders are in your employ.

The Forthcoder Diaries -- 2011 June 1

Am 1. Juni 2011, Mittwoch Morgen in der Eigerwand.
Yesterday at KCLS/RB I decided to Google
"Larry Parr" and see what my old UW college
buddy was doing. It came back that two months
ago Larry had died. The shock has still not
worn off a day later. Larry Parr was one of
the first people I met in my first freshman
year at the University of Washington.
We were in Honors English together
in Balmer Hall just across the yard from
Denny Hall. Professor Elinor Yaggy had
us reading "A Passage to India" by
E. M. Forster. Before class Larry and I
had many a conversation in the sky-
bridge over to Mackenzie Hall. I had
very boring weekends, and I would marvel
at Larry's stories of his wild weekends.

Three years later, during the
Larry took me to a brand new coffee shop
autochthonously called "The Last Exit" on
Brooklyn Avenue. There Larry told me all
about Ayn Rand and the Objectivist
philosophy and "Atlas Shrugged" and
Governor Reagan of California. Larry was
young and he had the world by the tail
and he would go on to great things that
would make me brag about Larry Parr
to my chessbum father.

Fast forward about ten years and I was
down in the bowels of the U.W. Suzallo
Library, using old microfilms of the
Seattle Times newspaper. For some
reason, Larry Parr was down there
looking at maps. We had both been
in the U.S. Army, and Larry told me
how he had served as a U.S. Army
spook in Germany listening to
Russian soldiers asking "Tam li?
Tam li?" over the radio.

Years later I ran into Larry Parr at
the Last Exit and he told me he had
written a book about local Seattle
chess players. I asked Larry if the
book included my father, who was
once tied for chess champion of
Washington state. Larry assured me
that he had mentioned my father in
the book, but a the U Book Store I
could not find any mention of my
father in Larry's book.

Another ten years later I was walking
around Green Lake in Seattle when
Larry accosted me and harangued me
about those "retromingent" evil-doers
he was always complaining about.
Larry told me that the authorities
had deported him from Malaysia
because of something he wrote as
a journalist. He was waiting for things
to cool down so that he could return to
Malaysia and be re-united with his wife.

I often repeat to other people Larry's
favorite Bobby Fischer story. According
to Larry Parr, Bobby Fischer was playing
in a major chess tournament in the
Caribbean and the news media commentators
were reporting live that the world chess
champion Bobby Fischer had lost his edge
and had begun making a series of blunders
in the game going on. The commentators
were heaping derisive scorn on the has-been
Bobby Fischer whose series of moves looked
to the chess experts like utter folly.
Dis aliter visum.
JavaScript AI Mind Programming Journal -- Mon.30.MAY.2011

The JavaScript artificial intelligence (JSAI) is a client-side AiApp
whose natural habitat is a desktop computer, a laptop or a

Mon.30.MAY.2011 -- Searching the AI Knowledge Base.

The JavaScript artificial intelligence (JSAI) is now being updated with new code from the MindForth AI, which on 29 May 2011 gained the ability to search its knowledge base (KB) twice in response to a single query and provide different but valid answers by means of the neural inhibition of the first answer in order to arrive next at the second answer. In other words, the JSAI will be able to discuss a subject exhaustively in terms of what it knows about the subject -- a major step in our achievement of the MileStone of self-referential thought on the RoadMap to artificial general intelligence. The AI source code has not yet been fine-tuned. We hope to achieve in JavaScript the basic functionality that has been created in MindForth.

Upshot: After we transferred mutatis mutandis all the pertinent code from MindForth into the AiMind.html program in JavaScript, the JSAI still did not work right. We had to hunt down and fix (by commenting out) some lines of obsolete code in the SpreadAct mind-module, where negative activation values were being reset to zero -- to the detriment of inhibition-values, which need to slowly PsiDecay upwards towards zero. We then achieved JSAI functionality on a par with MindForth. We entered new knowledge into the knowledge base (KB). We queried the KB twice with the same question, and the artificial AI Mind correctly gave us two different answers in complete agreement with the knowledge base.

JavaScript AI Mind Programming Journal -- Wed.18.MAY.2011

The JavaScript artificial intelligence (JSAI) is a clientside AiApp whose natural habitat is a desktop computer, a laptop or a smartphone.

Wed.18.MAY.2011 -- Houston, We Have a Problem

When we submit "who are you" as a query to the AI Mind, it searches the knowledge base (KB) and it remembers that it is ANDRU - - a ROBOT and a PERSON (a different answer each time that you pose the same existential question). Unfortunately, the software finds the first instance of concept stored in recent memory and spits out the phonemic engram from the auditory memory channel without regard to whether the stored word is a singular form or a plural form. How can we get the most advanced open-source AI in these parsecs to stop saying "I AM ROBOTS"? The AI may have to start skipping over plural engrams when searching for a singular noun. Therefore, let us perform a little psychosurgery on the AI Mind software and see if we can zero in on a singular noun-form during self-referential thought.

First we use a few JavaScript "alert" boxes in BeVerb() and in NounPhrase() to see what values are being carried along in the variables that keep track of grammatical number as the AI Mind generates a thought in response to user input. We see that the subject number is available in the background, so perhaps we can alter the design of the Mind to insist speaking a singular noun to go with a singular subject. Even though ROBOT and ROBOTS are the same concept, they are not the same expression of the concept. By the way, this issue is another AI mindmaker (Mentifex) problem that had to be solved in due course, that is, rather well along in the AI development process and not at the first blush of AI newbie enthusiasm.

Upshot: Gradually in the NounPhrase module we introduced code to skip over the retrieval of any word in auditory memory if the correct num (ber) was not found to match the the same number of the subject of an input query. The AI began to answer "who are you" with "I AM ROBOT". This bugfix makes the AI Mind more complex and therefore subject to potentially latent problems such as knowing a word only in the plural and not in the singular. However, the same bugfix brings the JSAI closer to machine reasoning and thinking with a syllogism such as, "All men are mortal; Socrates is a man; therefore Socrates is mortal."

MindForth Programming Journal -- 2011 May 16

Now that we have cracked the hard problem of AI wide open, we wish to share our results with all nations.

Mon.16.MAY.2011 -- List of Mentifex AI Accomplishments

We are still working on the MileStone of self-referential thought on our RoadMap to artificial general intelligence (AGI). We look back upon a small list of accomplishments along the way.

* two-step selection of BeVerbs;
* AudRecog morpheme recognition;
* look-ahead A/AN selection;
* seq-skip method of linking verbs and objects;
* SpeechAct inflectional endings;
* neural inhibition for variety in thought;
* provisional retention of memory tags;
* differential PsiDecay.

Mon.16.MAY.2011 -- Achieving AI Mental Stability

Until we devised an AI algorithm for differential PsiDecay in the JavaScript artificial intelligence (JSAI), stray activations had been ruining the AI thought processes for months and years. We now port the PsiDecay solution from the JSAI into MindForth. Meanwhile, Netizens with Microsoft Internet Explorer (MSIE) may point the browser at the AiMind.html page and observe the major open-source AI advance in action. Enter "who are you" as a question to the AI Mind not just one time but several times in a row. Observe that the JSAI tells you everything it knows about itself, because neural inhibition immediately suppresses each given answer in order to let a variety of other answers rise to the surface of the AI consciousness. Before the mad scientist of Project Mentifex jotted down the eureka brainstorm, "[ ] Fri.13.MAY.2011 Idea: Put gradations into PsiDecay ?" and wrote the code the next day, the AI Minds were not reliable for mission-critical applications. Now the AI Forthmind is about to become more mentally stable than its creator. We only need to port some #JSAI code to Forth.

JavaScript AI Mind Programming Journal -- Fri.13.MAY.2011

Fri.13.MAY.2011 -- A Problem in Search of Eureka

When the question "who are you" is input repeatedly to the JavaScript Artificial Intelligence (JSAI), the AI needs to retain the self-concept of "I" as the subject for each of all possible answers to the question. The MindForth AI already performs well in this regard, but the JSAI has been letting go of the self-concept subject. Therefore we will try to make sure that the JSAI uses the same activational routines as MindForth does.

Sat.14.MAY.2011 -- Using Differential PsiDecay

The artificial Mind has difficulty holding onto the subject of a query because of stray activations that build up on "also-ran" concepts that were proposed but not accepted as answers to recent queries. The activation on otherwise legitimate answers builds up so rapidly and so substantially that an also-ran concept threatens to dislodge the very subject of the query and become a new subject of a thought which does not supply the knowledge requested by the query. For instance, when we twice ask "who are you" of the 12may11A.html JSAI as released onto the Web two days ago, it answers first "I AM ROBOTS" and then "A PERSON IS PERSON", apparently because the also-ran concept of "PERSON" has risen too high in activation to let the self-concept "I" serve as the subject of the response. Meanwhile, yesterday we may have had a "eureka" moment that could supply a solution so simple and yet so effective that it provides a tipping point in the break-out phenomenon of True AI.

Now, we don't want our AI Minds to start asking teenage boys if they would like a little game of GLOBAL THERMONUCLEAR WAR, Matthew, but don't be surprised if suddenly No Such Agency starts removing every trace of Mentifex AI from every corner of the World Wide Web. Did you know that, when things got a little hot during World War Two, the U.S. government began removing books on the mathematics of Georg Riemann from libraries all over America? Say, when's the last time you saw a copy of AI4U?

The secret to True AI is to embue the artificial Mind not with the linear PsiDecay that MindForth has always had, but with the differential PsiDecay of also-ran concepts so that stray activations dwindle more rapidly from high spikes than from merely modest spikes. In a living neural-net like the human brain, do we not expect a sharp spike to fall more rapidly than a simple upswell? So let us modify the PsiDecay code and try to make higher activations subside more rapidly.

We are trying to ntroduce "differential" psi-decay. Suppose we have also-ran NounPhrase concepts like

39=ROBOT at 54 act;
104=PERSON at 68 act;
33=ANDRU at 82 act;
We want the high-activation also-rans to drop to an activation low enough to avoid dislodging the input subject. Then we want at least one also-ran to be high enough to be selected as an answer to the input query. We want each decade or octet of high activation to be lowered by not just one point, but by a precipitous drop that still keeps the relative ranking of the also-rans. For instance, we could ordain that all activations above thirty could arrange themselves in a spread between twenty- nine and forty, so that
39 becomes 31;
49 becomes 32;
59 becomes 33;
69 becomes 34;
79 becomes 35;
89 becomes 36;
99 becomes 37; and so on
Upshot: We inserted similar code into the JavaScript AI Mind and it began to function better than ever. Somehow the JSAI is now more advanced than the MindForth AI, until we can port the new functionality into Win32Forth.

MindForth Programming Journal -- 2011 May 7

Sat.7.MAY.2011 -- Improving Neural Inhibition

Something is preventing neural inhibition from operating immediately when we ask the AI Mind a "who-are-you" question. The inhibition begins to occur only after a pause or delay, and we need to find out why. The problem may be that the "predflag" for predicate nominatives is not being set soon enough. The "predflag" is set towards the end of the BeVer b mind-module, and it governs the inhibiting of nouns as predicate nominatives in the NounPhrase module. We see through troubleshooting that the earlier engram in a pair of selected-noun engrams is being inhibited properly down to minus thirty-two points of conceptual activation, but apparently the present-time engram in the pair is only going down to zero activation. It looks as though calls to PsiClear from the EnCog (English cognition) module were interfering in the pairing of inhibitions shared by the old engram that won selection and the new engram being stored as the record of a generated thought. Then a further problem developed because the AI was not letting go of transiitive verbs that served within an output thought. We inserted code to inhibit each transitive verb after thinking, and we began to obtain a variety of outputs from the AI in response to queries.

Sun.8.MAY.2011 -- Selecting New Inhibition Variables

Today we are creating two new inhibition variables, "tseln" for "time of selection of noun" in NounPhrase, and "tselv" for "time of selection of verb" in VerbPhrase. We need these variables to keep track of the selection-time of an "inhibend" concept to be inhibited after being thought, so that the AI Mind can avoid repeating the same knowledge-base retrieval over and over again. We stumbled upon neural inhibition for response-variety in our MfPj work of 5 September 2010. We were so astonished by the implications that we issued a Singularity Alert (q.v.). Now we are ready to install a general mechanism of temporary inhibition throughout the AI MindGrid.

Sun.8.MAY.2011 -- Debugging Spurious Inflection

Although MindForth has suddenly become more intelligent than ever, the AI makes the grammatical mistake of saying "I HELPS KIDS". We need to track down why the SpeechAct module is adding an inflectional "S" to the verb "HELP".

The VerbPhrase module governs the sending of an "S" inflection into the SpeechAct module. The pertinent code was not fully checking for a verb in the third person singular, so we added an IF-THEN clause requiring that the prsn variable be set to three for an inflectional "S" to be added to a verb being spoken. The bugfix worked immediately.

JavaScript AI Mind Programming Journal -- Wed.4.MAY.2011

Wed.4.MAY.2011 -- Bugfix of the WHO Problem

The JavaScript AI Mind is a tutorial version of the more robust artificial intelligence in Forth called MindForth. Recently we solved a "WHO" problem in MindForth, namely the inability of the artificial mind to de-activate the concept of "who" from within an input query so as to impart full activation to whatever concept should be the answer to the who-query. In MindForth it turned out that the R eActivate mind-module was neglecting to zero out the concept of "who" and it was a simple b ugfix to correct the problem. Now apparently the JSAI has the same problem, because we input "who are you" and we obtain the erroneous output, "WHO IS I". Since the concept of "who" is obviously not being de-activated, we will try the same bugfix that we used in MindForth. We tried it, and it works.

Wed.4.MAY.2011 -- Selecting "AN" Article Before Vowels

Today into the J avaScript AI we have ported MindForth code that substitutes "AN" for "A" before a noun that starts with a vowel. The mind-module of En Article (for English articles) has no problem of guessing whether a vowel comes next, but instead knows for sure when a vowel is coming, because the N ounPhrase module is ready to speak the first phoneme of the chosen noun prior to calling the En Article module. Thus the AiMind seems to use "AN" or "A" as effortlessly as a human mind does.

MindForth Programming Journal (MFPJ) 2011 May 3

Tues.3.MAY.2011 -- Encountering the WHO Problem

In the most recent release of MindForth artificial intelligence for autonomous robots possessing fre e will and personhood, our decision to zero out post- ReEn try concepts is only tentative. If the mind- design decision introduces more problems than it solves, then the decision is reversible. It was disconcerting to notice that the newest version of MindForth could no longer answer who-are-you questions properly, and would only utter the single word "WHO" as output in response to the question. We expect the necessary bugfix to be a simple matter of tracking down and eliminating some stray activation on the "WHO" concept-word, but there is a nagging fear that we may have made a wrong decision that worsened MindForth instead of improving it, that delayed the Singularity instead of hastening it, and that argues for an AI working group to be nurturing MindForth instead of a solitary mad scientist.

Tues.3.MAY.2011 -- Debugging the WHO Problem

In the InStantiate mind-module, both WHO and WHAT are set to zero activation as recognized input words, under the presumption that such query words work in a mind by a kind of self-effacement that lets the information being sought have a higher activation than the interrogative pronoun being used to request the information. Today at first we could not understand why the setting to zero seemed to be working for WHAT but not for WHO. Eventually we discovered that only WHAT and not WHO was being set to zero in the R eActivate module, with the result that all instances of the recognized WHO concept were being activated at a high level in R eActivate. When we fixed the bug by having both InStantiate and R eActivate set WHO to zero activation, the AI Mind began giving much better answers in response to who- queries. Immediately, however, other issues popped up, such as how to make sure that neural inhibition engenders a whole range of disparate answers if they are available in the knowledg e base (KB), and whether we still need special variables like "whoflag" and "whomark". In general, we tolerate special treatment of words like WHO and WHAT with the caveat that we expect to do away with the special treatment when it becomes obvious that we can dispense with it.

JavaScript AI Mind Programming Journal -- Sun.1.MAY.2011

Sun.1.MAY.2011 -- Organizing the AI Mind Control Panel

The AiMind Control Panel has room for about six hyperlinks. It seems best if we include in the Control Panel both a link to the current Robots.net AI Lab Notes and a link to the most recent comp.lang.javascript Usenet post, without linking after all to the Wikipedia article on the Singularity for lack of room in the Control Panel. The immediate link to the Robots.net AI Lab Notes lets the users see an HTML page with embedded links, and we can predict in advance the URL address of the AI Lab Notes. By linking to the recent comp.lang.javascript Usenet post, we obviate the need and the unpleasantness of going back into the current JSAI version and changing the Usenet link. When we upload and release a JSAI version, it should remain the same and not be subject to change by the updating of a Usenet link. Since we now already have the current Robots.net AI Lab Notes link, it would actually be redundant to link to a current Usenet post of the same material, which would not even have the embedded HTML links. By linking to a one-off Usenet post, we let the users follow the chain of Usenet posts backwards through time. Furthermore, if we are careful in each new Usenet post to link to the simultaneous Robots.net AI Lab Notes, then users following the backwards chain always have the option of clicking over to the embedded-links HTML version on the Robots.net site.

Sun.1.MAY.2011 -- Linking Subject with Related Knowledge

Today we are concerned with bringing the latest MindForth improvements into the J avaScript artificial intelligence (JSAI). A minor change in the MindForth code has improved the AI functionality with respect to the proper linkage between pronouns as subjects of a BeVer b and predicate nominatives stored as knowledge in the knowledg e-base of of the experiential memory of the AI. The necessary change was to set conceptual activations at zero for concept-words that have served as elements of verbal thought in the AI Mind and have passed through the ReEn try process back into the experiential memory of the mind. We will follow the new activation rules (ActRules) for ReEntry in the JSAI as well as in MindForth, so that we may keep the two AI "cousins" as genetically close as possible in both Forth and JavaScri pt.

In the InStantiate mind-module, we have brought over some code from MindForth to set conceptual activations to zero during the instantiation of ReEn try concepts. We noticed an immediate improvement in the linking of subjects with related knowledge. We are eager to implement MachineSelfReference as a M ileStone on our Road Map to artificial intelligence.

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