Schema is a fluid outline – as distinct from a geometrically defined outline/pattern which is rigid.(You can geometrically define a moving wavy line – but it’s “rigidly/fixedly wavy”). The outline of a real waterdrop is a fluid outline. The outline of your hand grasping or your body moving is a fluid outline. They’re actually moving/changing – so you know that any shape they may have at a given moment is fluid and about to change.
Another way to think of it is to look at any cartoon: https://www.google.com/search?num=10&hl=en&safe=off&site=imghp&tbm=isch&source=hp&biw=1362&bih=692&q=obama+cartoon&oq=obama+cartoon&gs_l=img.3..0l10.1269.3112.0.3741.13.9.0.2.2.0.131.589.8j1.9.0...0.0...1ac.1.YShcABKFARI We understand when we look at a cartoon outline of say Obama that that is an outline to be interpreted "*fluidly* and not literally. We understand that that outline is to be understood as saying “the lines of the real object are “SOMETHING LIKE” these (but not exactly and not in any way that can be precisely defined). Those outlines, you could say, stand in relation to the real thing, rather like the outline of a waterdrop or hand a few seconds ago, stands in relation to their outlines now. The brain *demonstrably* works with fluid outlines. Every icon you see: http://www.clipartlab.com/clipart_preview/clipart/icons3-2.gif is evidently not a literal rendering of the outlines of the real objects, but to be interpreted fluidly. So if the conscious brain evidently works with fluid outlines, then the unconscious brain must be able to. But this requires a whole different mentality from the geometric/logical mentality – there, things have to be precise. You can’t understand a point as being loosely round about a given location. You can’t understand a given logical symbol as meaning “loosely something like this object”. If you do all your equations and deductions will be buggered. And if you just llsten to people here, they continually (naturally given their tools) crave precision, single, unambiguous meanings, correct answers. The fluid mentality is: “hang loose, dude; don’t be so uptight; go with the flow” - it’s fluid and adaptable, and continuously changing with unlimited potential to change further and produce multiple-to-infinite versions (within certain constraints).. Algorithms are utterly rigid and haven’t produced and never will a produce a single new element – or new fluid conformation. From: Mike Archbold Sent: Tuesday, October 30, 2012 4:13 PM To: AGI Subject: Re: [agi] The Fundamental Misunderstanding in AGI [was Superficiality] On Tue, Oct 30, 2012 at 6:16 AM, Mike Tintner <[email protected]> wrote: Mike A: All of Mike T's arguments seem to me to stem from a standpoint of extreme empiricism. He doesn't seem to acknowledge anything other than precisely what is under consideration. Even though a chair top can look different in all cases, in all cases there IS a constant, and that is that the essence of a chair persists. Philosophers have long fought with these issues, and as most know it was Kant who came closest (arguably) to reconciling the empiricists and the rationalizers. No I’m not a pure empiricist. (The philosophical/psychological background is loosely important – recent comments seem unaware that this is one of the most controversial areas). The difference is indeed about rationality – about what *kind* of schema/classificatory devices the mind (human or any real world mind) must impose on its images of objects. Rationality – and everyone here, except for me, is in effect a rationalist – presupposes a CONSTANT schema – just as you have said, and just as Plato implied 2,500 years ago. That’s because you are still intellectually living in the age of text, where everything you see is constant and unchanging. You wouldn't even be able to communicate at all if there were no constants. I'm not sure what you by schema in this context but I think you mean some kind of form or set-of-properties relevant to some object or thing. Nobody says you have to have 100% constants. Indeed, that is ridiculous. But, you are arguing using a false dichotomy, it seems to me: either CONSTANTS or FLUID, or roughtly rationalist vs. empiricist. The reality is however that both are needed to process reality, the constant and the changing/unique, and it doesn't matter if we are talking about language, thought, or physical objects. Move into the new millennium of movies, which are now a sine qua non, and you realise that everything is FLUID/MOVING – and different individual versions of things are different from (and in effect fluid versions of) others. There is no constant, essential waterdrop or human being, or chair or apple – especially in a world in which all things may be and usually are transformed by external means in all kinds of way – like being stepped on, smashed, burned or fragmented - if you just look, that lack of a constant is self-evident. But you don’t look – you a priori seek to impose the constant frameworks of language, maths and logic on a fluid world – determined to defend them to the death – despite the fact that they obviously are a complete, never failing to fail, bust for conceptualisation/recognition and anything AGI. For a fluid, transformational world and objects, you need fluid, transformational schemas – but there is nothing in the “languages” you know about them, and you’re not open to new ideas. I get the continuous feeling that you think that just because we express something as an algorithm or in conversational language nothing further can emerge from it.... is that right??? Fluid schemas are doubly essential because – the other thing that all here forget – an AGI of any kind must get to know and classify objects *piecemeal/gradually*, developmentally. The first chair or dog you see may not be at all a typical or common one. All the current approaches to AGI assume a *full knowledge/fully developed mind* - with well structured concept graphs and a fully developed grammar - which has in effect already learned more or less all it really needs to know - quite, quite absurd. Every approach in the field is only appropriate to a fully knowledgeable narrow AI routine/subsystem, not to a real world AGI, complete system gradually, fluidly getting to know the world. 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