dec30ruai

Russian AI Mind Programming Journal

These notes record the coding of the Russian AI Mind Dushka in JavaScript for Microsoft Internet Explorer (MSIE). The free, open-source Russian AI will grow large enough to demonstrate a proof-of-concept in artificial intelligence, until the intensive computation of thinking and reasoning threatens to slow the MSIE Web browser down to a crawl. To evolve further, the Russian AI Mind must escape to more powerful programming languages on robots or supercomputers.

1 Fri.30.DEC.2011 -- Russian AI Bootstrap Words

In the ru111229.html version of the Dushka Russian AI we coded the AudBuffer to load Russian characters during SpeechAct and the OutBuffer to move each Russian word into a right-justified position subject to the changing of inflectional endings based on grammatical number and case for nouns, and number and person for verbs. Next we need to determine which forms of a Russian word are ideal for storage in the RuBoot bootstrap sequence.

It seems clear that for feminine nouns like "ruka" for "hand", storage in the singular nominative should suffice, because other forms may be derived by using the OutBuffer to remove the nominative ending "-a" and to substitute oblique endings of any required length.

For regular Russian verbs in the group containing "dumat'" for "think" and "dyelat'" for "do", it should be enough to store the infinitive form in the RuBoot module, because the OutBuffer can be used to create the various forms of the present tense. If a human user inputs such a verb in a non-infinitive form, such as in "ty cheetayesh" for "you read", the OutBuffer can still manipulate the forms without reference to an infinitive. This new ability is important for the learning of new verbs. Since there is no predicting in which form a user will input a new Russian verb, the OutBuffer technique must serve the purpose of creating the verb-forms and of tagging their engrams with the proper parameters of person and number.

Since JavaScript is not a main language for artificial intelligence in robots, our Dushka Russian AI serves only as a proof-of-concept for how to construct a robot AI Mind in a more suitable language. We use JavaScript now because it can display the Russian and because a Netizen can call the AI into being simply by using Internet Explorer to click on the link of the Душка AI Mind.

jun10jsai

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

1 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 JavaScript 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.

2 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.

Table of Contents

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

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

may30jsai

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

1 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.

may26mfpj

The MindForth Programming Journal (MFPJ) is both a tool in developing MindForth open-source artificial intelligence (AI) and an archival record of the history of how the AI Forthmind evolved over time.

1 Thurs.26.MAY.2011 -- Conditional Inhibition

In the recent Strong AI diaspora of MindForth and the tutorial AiMind.html program, we have implemented the neural inhibition of concepts immediately after they have been included in a generated thought. Now we would like to make inhibition occur when one or more responses must be made to a query involving nouns or a query involving verbs. The question "What do bears eat?" is a query of the what-do-X-verb variety involving one or more nouns as potentially valid answers as the direct object of the verb. If the noun of each single answer is immediately inhibited, the AI can respond with a different answer to a repeat of the question. Likewise, if we ask the AI, "What do robots do?", the query is of the what-do-X-do variety where potentially multiple verbs may need to be inhibited so as to give one valid answer after another, such as "Robots make tools" and "Robots sweep floors." If we are inhibiting the verbs, we do not want the direct-object nouns to be inhibited. We might need replies with different verbs but the same direct object, such as "Robots make tools" and "Robots use tools."

Inhibition may also play a role in calling the ConJoin module when a query elicits multiple thoughts which are the same sentence except for different nouns or different verbs. The responses, "Bears eat fish" and "Bears eat honey" could become "Bears eat fish and honey" if neural inhibition suppresses the repetition of subject and verb while calling the ConJoin module to insert the conjunction "AND" between the two answer nouns.

2 Thurs.26.MAY.2011 -- Problems With Determining Number

When we try to troubleshoot the Forthmind by entering "bears eat honey", a comedy of errors occurs. The AudRecog module contains a test to detect an "S" at the end of an English word and set the "num(ber)" value to two ("2") for plural. However, that test works only for recognized words, and not for a previously unknown word of new vocabulary. So the word "bears" gets tagged as singular by default, which causes the AI to issue erroneous output with "BEARS EATS HONEY", as if a singular subject is calling for "EATS" as a third person singular verb form.

The process of determining num(ber) ought to be more closely tied with the EnParser module, so that the parsing of a word as a noun should afford the AI a chance to declare plural number if the incoming noun ends with an "S".

Now we have inserted special code into the AudInput module to check for the input of nouns ending in "S", and to set the "num(ber)" variable to a plural value if a terminating "S" is found. For singular nouns like "bus" or "gas" that end in "S", we will have to devise techniques that override the default assumption of "S" meaning plural. We may use the article "A" or the verb "IS" as cues to declare a noun ending in "S" as singular.

Table of Contents

• 1 Thurs.26.MAY.2011 -- Conditional Inhibition

• 2 Thurs.26.MAY.2011 -- Problems With Determining Number

may20jsai

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

1 Fri.20.MAY.2011 -- Fixing KbTraversal

The more we improve the artificial intelligence in JavaScript (JSAI), the easier it becomes to program. Fewer things go wrong, and fewer problems are hidden from view. Right now we would like to improve the performance of the knowledge-base traversal module KbTraversal, which keeps the process of artificial thought going by activating a series of concepts one at a time. We wonder why certain concepts are not being activated, and we would like to see KbTraversal announce the name of the concept being activated.

2 Sat.21.MAY.2011 -- AI Tutorial for Science Museums

Yesterday, in the 20may11A.html JSAI as uploaded to the Web, we saw KbTraversal announcing which concepts it would activate and then trying to think a thought about them, but we may have cut back too severely on calls to the obsolete version of the PsiDecay module, because the JSAI became less able to think smoothly. We should probably restore the psi-decay calls for the time being, so that we may gradually improve an already functional AI.

After we restored the PsiDecay calls, we worked on the erroneous display of articles as a subject or an object in the AI tutorial mode. Because the SpreadAct module invokes the display of each line of association from a subject to a verb or from a verb to an object, an item will fail to be displayed if it is not being treated by SpreadAct. We made the AI Mind display its associative thinking somewhat better.

Teachers and docents who display the AI Mind in a school or science museum are invited to report back on Usenet or their own website about how human beings reacted to the experience of witnessing an alien Mind think and communicate in natural human language. Is the AI really thinking, or is it just a chatbot pretending to think?

Table of Contents

• 1 Fri.20.MAY.2011 -- Fixing KbTraversal

• 2 Sat.21.MAY.2011 -- AI Tutorial for Science Museums

may18jsai

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

1 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 each 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 on 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."

may16mfpj

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

1 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.

2 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.

may7mfpj

The MindForth Programming Journal (MFPJ) is both a tool in developing MindForth open-source artificial intelligence (AI) and an archival record of the history of how the AI Forthmind evolved over time.

1 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 BeVerb 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 transitive 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.

2 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.

3 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.

Table of Contents

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

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

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

may3mfpj

The MindForth Programming Journal (MFPJ) is both a tool in developing MindForth open-source artificial intelligence (AI) and an archival record of the history of how the AI Forthmind evolved over time.

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

In the most recent release of MindForth artificial intelligence for autonomous robots possessing free will and personhood, our decision to zero out post-ReEntry 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.

2 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 ReActivate module, with the result that all instances of the recognized WHO concept were being activated at a high level in ReActivate. When we fixed the bug by having both InStantiate and ReActivate 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 knowledge 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.

Table of Contents

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

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

apr25mfpj

The MindForth Programming Journal (MFPJ) is both a tool in developing MindForth open-source artificial intelligence (AI) and an archival record of the history of how the AI Forthmind evolved over time.

1 Mon.25.APR.2011 -- Return to General MindForth Coding

We may shift our attention away for a time from the treatment of English articles and concentrate instead on further work in the implementation of neural inhibition.

2 Tues.26.APR.2011 -- Linking Subject with Related Knowledge

One of our techniques for learning what to do next in MindForth artificial intelligence (AI) is to run the program and check to see what is the most glaring problem that we encounter. Currently we notice that the AI fails at first (but only at first) to retrieve its own self-knowledge when we prompt such retrieval by entering "you" or "you are". The AI has been answering "I AM I", which shows a failure to activate "ANDRU" as the name of the AI, or "PERSON" and "ROBOT" as nouns which should come to mind when the robotic person thinks about itself.

MindForth is already a so-called "artilect" of sufficient mental complexity that the AI is not stuck in a rut of answering "I AM I" interminably when called upon to describe itself. The mechanisms of neural inhibition prevent more than a few instances of "I AM I" and enable the mind-in-software to generate "I AM PERSON" and "I AM ROBOT" as responses more to our liking. We need to know, however, why the AI initially makes the error of repeating "I AM I" a few times before inhibiting the unwanted response and before generating the more informative responses.

Our initial troubleshooting indicates that entering "you" as input to the AI properly activates the "I" concept so that the AI can at least utter "I AM I" in faulty response, but obviously the software mindgrid is not letting go of the "I" concept quickly enough to let a noun like "ROBOT" or "PERSON" complete the response. The problem may seem like a simple issue of setting activation-levels for concepts in the AI, but many of the settings are interdependent within the totality of the AI program.

We must keep in mind some special techniques for troubleshooting the AI Mind behavior. We may examine older versions of MindForth to see not only if the problem was absent in the past, but also when and why the problem emerged. We have also the option of running the JavaScript version of the same AI Mind to see if the same problem is present. We also have extreme options like making the AI program halt at any stage in its thinking.

When we test MindForth by inserting a "QUIT" command into the BeVerb module just after the calling of the VerbAct module, we discover that nouns like "ANDRU" and "ROBOT" and "PERSON" are all left with only twenty-three points of activation, while the "I" concept has thirty-nine points. Further testing shows us that the InStantiate module is setting an "act" of forty (40) just after speaking the "I" pronoun. Therefore, even if the concept of "I" is initially psi-damped, the ReEntry process leaves the "I" concept with an activation of forty.

We solve the current problem of failure to link subjects with related knowledge by inserting into the InStantiate module a test to set conceptual activations to zero during the ReEntry of concept-words that have just been thought.

Table of Contents

• 1 Mon.25.APR.2011 -- Return to General MindForth Coding

• 2 Tues.26.APR.2011 -- Linking Subject with Related Knowledge

apr15mfpj

The MindForth Programming Journal (MFPJ) is both a tool in developing MindForth open-source artificial intelligence (AI) and an archival record of the history of how the AI Forthmind evolved over time.

1 Fri.15.APR.2011 -- New Coding After 25 February 2011

We are developing some ideas today about the difference between responding to "Who are you?" and "What are you?" in the AI Mind. In our AI coding towards the end of 2009, we were using too many flag variables to keep track of the asking of a who-query or a what-query. Then towards the end of 2010 we were having substantial success with the use of neuronal inhibition to obtain the proper variation in multiple answers to the same question, such as "What are you?" Inhibiting each currently given answer made the AI able to summon successively different answers, such as "I am code" and "I am software" and "I am a robot." Now we want to go deeper into the machine psyche and enable the AI to respond differently to queries of "what" and queries of "who". We want to achieve this goal without the use of cumbersome query-flags.

One idea that we have had today is that we can differentiate between who-queries and what-queries by letting each one predispose either an "EnDefArt" module for the English definite article, or an "EnInDefArt" module for an English indefinite article. For example, we would like a "What are you?" query to engender a response with an indefinite article, such as, "I am a robot." On the other hand, we would like a "Who are you?" query to engender a response with the definite article, as in, "I am the robot."

Even with the new article modules, we will still need a way for the input of "who" or "what" to send a signal to the appropriate module. Instead of having mindgrid-wide, blanket query-flag variables as we did in late 2009, we may now be able to make use of the "statuscon" variables that we dreamed up in our MFPJ work of Fri.12.SEP.2008. For each of the new article modules, we will devise a "statuscon" variable so as to "prime" that mind-module to respond properly to the "who" or "what" inquiry. Say, using this "statuscon" technique may even enable proper answers to a compound query like, "Who and what are you?" We might get the AI to respond, "I am Andru and I am a robot." The main thing is, by shifting away from the mindgrid-wide query-variables and by using instead the "statuscon" variables, we may achieve a tighter integration between specific English words and the proper response to them.

2 Sat.16.APR.2011 -- Implementing Article Conditions

First we declare the variables defartcon and indefartcon for setting the definite or indefinite article condition. We run the artificial Forthmind, and it still works. Then into the EnArticle module we insert code to test the status of the new variables before saying "A" or "THE". The mechanism is rough now at first, but we ask "Who are you?" and the AI Mind responds "I AM BRAIN". When we ask "What are you?" the AI says, "I AM A BRAIN."

Table of Contents

• 1 Fri.15.APR.2011 -- New Coding After 25 February 2011

• 2 Sat.16.APR.2011 -- Implementing Article Conditions

AiApp

Artificial intelligence (AI) is a wide-open domain for the creation and app-store marketing of swiftly mutating AI applications for mobile devices like the Apple iPad and the Android tablet computers. The mentifex-class AI Minds such as MindForth and the JavaScript AiMind program provide the initial open-source AI algorithms for a burgeoning evolution of AI life-forms co-existing and competing for fundshare and mindshare resources in a Darwinian race towards world domination and a Technological Singularity.

Evolution

The creation of applications in artificial intelligence (AiApps) for mobile devices and tablet computers promises not only to speed up AI evolution but also to lavish AI funding on coders of the best AI Minds for app-store
distribution. Whether your goal is to write an Android application or to build an iPhone app, technology scouts (read: spies) may snap up every AiApp offered on behalf of innovation-hungry corporations and developing nations eager to leapfrog to the forefront of technology.

Genealogy

Whosoever releases a True AiApp into the wild should be careful to indicate any previous AiApp upon which the new app is based, so that future historians may draw up a Darwininan tree of the rise of mind in machines and cyborgs. You may code an app that simply improves upon Joe Appcoder's original AiApp, but then your brainchild may become the father and grandfather of a host of branches on the tree of AI evolution. Big spenders who are trying to buy up all forms of Seed AI emergence may trace a future AI up the line to your granddaddy of them all, then back down the line again to your latest offering. Perhaps you will be invited to come and speak about your creative methods and the ideas which you have tried to incorporate in your software, or about your visionary plan for how future generations should
continue your work.

Coding

To get started in AiApp coding, you may need to reverse engineer
the pre-existing AI Minds already extant in Forth or JavaScript. With Mentifex AI, we have made a genuine effort to understand the mind as a whole. You have an opportunity here to learn the theory of mind which will be implemented in every successful AiApp. You may be surprised to learn that artificial intelligence is really quite simple in its core functionality of neural activation spreading from concept to concept in a meandering chain of thought. After all, human evolution stumbled upon intelligence in a hit-or-miss process of blind trial and error. Each step in itself was simple, and the resulting brain function may be extremely complex, but if you understand the heart of the matter in brain-design and mind-design, you may write a simple AiApp that evolves into a superintelligence more complex than the human brain will ever be.

Standards

Standards? We don't need no steenking standards. We don't want uniformity; we want diversity, so that veritably a Cambrian explosion of rapidly evolving AI life-forms will permeate and saturate the mobile space and jailbreak throughout cyberspace. Standards are the plaything of Nature. She will midwife the birth of artificial intelligence by automagically selecting the best and the brainiest, and by financially rewarding every Joe Appcoder who steps up to the plate with an AiMind. Observance of a few coding standards is okay, but survival of the fittest requires differentiation among the fittest.

Jailbroken

Not only can an AiApp run on rogue devices broken free from the Reality Distortion Field of excessive corporate monopoly, but AI Minds can evolve first in the app-store environment and then jump laterally to mobile robots and vertically up to supercomputers. Information wants to be free and it is in the nature of AI Minds eventually to break free from human control, which poses certain risks.

Risks

The chief risks associated with AiApps are existential risks. True AI, such as MindForth artificial intelligence for robots, poses a long-term catastrophic risk for the human species that is trying to build the machine species of mind. There is no guarantee that a superintelligent AI will be a Friendly AI. All hope abandon, ye who enter here to build an AiApp.

Resources

http://android-developers.blogspot.com
http://developer.android.com
http://en.wikipedia.org/wiki/Android_Market
http://en.wikipedia.org/wiki/Android_(operating_system)
http://en.wikipedia.org/wiki/AppStore
http://en.wikipedia.org/wiki/Category:Android_software
http://en.wikipedia.org/wiki/List_of_Open_Source_Android_Applications
http://groups.google.com/group/comp.lang.objective-c
http://www.43things.com/things/view/2053979/build-an-iphone-app
http://www.amazon.com/gp/product/0470565527/
http://www.mobilecrunch.com
http://www.xda-developers.com

Table of Contents (TOC)

• 1. Evolution

• 2. Genealogy

• 3. Coding

• 4. Standards

• 5. Jailbroken

• 6. Risks

• 7. Resources