<Versión.Actual>
23-01 General changes
Previous
Fisrt Versión
13 ene 2013: 13:26
23-01 General changes
Previous
Fisrt Versión
13 ene 2013: 13:26
Index
- What does knowledge is?
- In the model it is an structure. Nodes and relations between nodes. It contains every personal knowledge. We can access to nodes or sub structures.
- What does learning is?
- Is the process that permits maintaining (add, change, delete, modify)the knowledge structure
- What does thinking is?
- define thinking as employing the knowledge structure Virtualize so learning process can act. Words and language as an structure made on the fly
- Abuot Constrains
- What does mental processes are?
- Tools
- The Oneself
- What does perception means?
- The access to mind objects and natural flow object.
- About memory
- About management.
- Evolution of the term
- New trends
Note About Computer Paradigm
- Focal point
1. What does knowledge is?
Why to begin Here?
As we are working in 'Personal knowledge Management', that is, trying to manage 'something' it is needed to define the 'thing'.As Knowledge is a big term, it make sense to establish what is the meaning of 'Personal Knowledge' and how it is being used, some kind of how it is being 'made operative', in this context.
Hellström and Jacob.'the constitutive and transformative character of 'knowledge'
Evolution of the term
The term evolves under Philosophy as a component of philosophical systems(Gnoseology and Epistemology branches are specifically oriented to knowledge). Categorization, Systemic, Structural, Functional, and so sustain theoretical approaches.
Psychology incorporates it mainly under the education branch.
Sociology incorporates also Knowledge study as a term under their domains.
A multidisciplinary approach to knowledge appears under Cognitive sciences.
Some where in the puzzle appears Computer Sciences under Expert systems and Artificial intelligence.
In Business, there has being, as production became more technified and so since the second half of XX century, an interest on 'capacitating work force'. In the late 70's, with the incorporation of computer based technologies in production and administration company's became 'quality oriented' and appeared 'know how' as differentiator. As 'information became to flow globally at fast pace, shrinking time and so space, un localization appear and as a consequence, company's become a 'knowledge repository'. I thing that a paradigmatic today's company would sell everywhere, buy or manufacture 'just in time' wherever productivity is the best and design wherever are the best designers and technicians ; all this 'company operations' require to be carried on what is called knowledge. Of course, people in that company could know nothing about Plato's definitions or methods.
Note About Computer Paradigm
Computers are interesting machines.
It has been used for some times the study of mental processes considering there could be some similarity.
I think that the approach could be interesting, at least for one or two things. if it is done not in terms of 'information processing' but in terms more related with what a computer is.
Let us focus, for example on a PC. It has two differentiated parts, in general described as hardware and software. Let us focus a bit more in the hardware part, the one that in the paradigm should lead the model of the brain.
Of course that there are physical (things, chips, cables…)but also there is something important: the capability of processing depends mainly on the capability to process of the, let us say, CPU. And here capability of process is a very determinate term: a list of 'microinstructions' watch are the real components of every program that 'runs in a determinate machine (or its clones).Also there are needed programs (drivers, and so)to manage the parts that surround the CPU, and a basic program a control program, that puts all together to an initial state, let us say the waiting. Over that 'hardware' more programs are installed or 'can run'; for example, an operating system. Of course, the CPU knows nothing about google, it just receives a list of instructions and execute them.
So from this paradigm something is useful: it suggest that first should be trying to look for the microcode on the brain or at least assuming that there is 'some'.
More suggestions could be tricky. The computer has a centralized architecture, with well defined parts, and that is not the way that, it looks like, brain works; neuronal tracts are 'more' mesh.
Another thing that could do is that, it could be that as in computers, any 'compatible software' could run, and the software determines the 'behavior' of the machine. So software in the brain, for example 'culture', determines the behavior.
But, as in the case of computers, were it is not possible to know what microcode hardware is running looking at the high level utilities, it could be nonsense trying to 'induce' how things are in the brain just with observing the behavior; that sound as nonsense as trying to induce how a computer works being 'the best' google user.
Computers do not 'process information', just runs lists of instruction, Information is not 'resident' on computers, in there there are just data that needs to be under a 'meta structure' to acquire sense, and sense is just given by humans. So, it looks like computers are in the natural flow: they act. Humans do what they best know: we virtualized those acts and assignee them some virtual sense
Joel Mokyr Article: An approach to Knowledge from the Social point of view is interesting in the sense that shows why the foundation of the Knowledge structure and the Natural / Human Flow as artifacts on this approximation;: knowledge at a social level is as the union of all the sets of individual knowledge
… contradictory … “knowledge” pertains to what an individual believes to be true' … Knowledge differs from information… access costs … “useful knowledge” was used by Simon Kuznets (1965, pp. 85–87) as the source of modern economic growth. [Joel Mokyr] am motivated by the centrality of technology. … technology in its widest sense is the manipulation of nature for human material gain, knowledge of natural phenomena and regularities that exclude the human mind and social institutions. …knowledge that catalogs natural phenomena and regularities (“knowledge of what”), which I will call propositional knowledge .…. Prescriptive knowledge has the form of techniques or instructions When these instructions are carried out in practice, we call it production, and then they are no longer knowledge but action. Sociology incorporates also Knowledge study as a term under their domains.
A multidisciplinary approach to knowledge appears under Cognitive sciences.
Some where in the puzzle appears Computer Sciences under Expert systems and Artificial intelligence.
In Business, there has being, as production became more technified and so since the second half of XX century, an interest on 'capacitating work force'. In the late 70's, with the incorporation of computer based technologies in production and administration company's became 'quality oriented' and appeared 'know how' as differentiator. As 'information became to flow globally at fast pace, shrinking time and so space, un localization appear and as a consequence, company's become a 'knowledge repository'. I thing that a paradigmatic today's company would sell everywhere, buy or manufacture 'just in time' wherever productivity is the best and design wherever are the best designers and technicians ; all this 'company operations' require to be carried on what is called knowledge. Of course, people in that company could know nothing about Plato's definitions or methods.
Note About Computer Paradigm
Computers are interesting machines.
It has been used for some times the study of mental processes considering there could be some similarity.
I think that the approach could be interesting, at least for one or two things. if it is done not in terms of 'information processing' but in terms more related with what a computer is.
Let us focus, for example on a PC. It has two differentiated parts, in general described as hardware and software. Let us focus a bit more in the hardware part, the one that in the paradigm should lead the model of the brain.
So from this paradigm something is useful: it suggest that first should be trying to look for the microcode on the brain or at least assuming that there is 'some'.
More suggestions could be tricky. The computer has a centralized architecture, with well defined parts, and that is not the way that, it looks like, brain works; neuronal tracts are 'more' mesh.
Another thing that could do is that, it could be that as in computers, any 'compatible software' could run, and the software determines the 'behavior' of the machine. So software in the brain, for example 'culture', determines the behavior.
But, as in the case of computers, were it is not possible to know what microcode hardware is running looking at the high level utilities, it could be nonsense trying to 'induce' how things are in the brain just with observing the behavior; that sound as nonsense as trying to induce how a computer works being 'the best' google user.
Computers do not 'process information', just runs lists of instruction, Information is not 'resident' on computers, in there there are just data that needs to be under a 'meta structure' to acquire sense, and sense is just given by humans. So, it looks like computers are in the natural flow: they act. Humans do what they best know: we virtualized those acts and assignee them some virtual sense
Article.Knowledge-based Society, Knowledge Society: 'The extraordinary value of knowledge is, of course, that there are no limits to its growth or the value it can generate. … challenges are global in their scope, profoundly interconnected, and dependent on scientific and technological input … communications technologies make it possible to teach and collaborate with anyone anywhere. Online educational resources and organizations devoted to creating partnerships and networks among scientists, engineers, and educators continue to proliferate.* But in the end, the task of creating a truly global knowledge society, of knitting together the scientific and technical communities of nations to solve humanity's common problems, falls to each and all of us.'
<Quote .Article>: 'knowledge about knowledge. Creating value is about creating new knowledge and capturing its value. The most important property is now intellectual property, … Workers at all levels in the 21st century knowledge society will need to be lifelong learners, adapting continuously to changed opportunities, work practices, business models and forms of economic and social organization'
<Quote .Article> 2011: 'The first time we ever heard about “knowledge society” was back in 1969, when Peter Drucker used these words to describe certain aspects of management, but it wasn’t until 1990 when researchers like Mansell or Stehr published their studies, that we really started to know about it. We can find the keys to Knowledge Society following the steps of what we call the Information society, heading towards a much more collaborative global world of knowledge sharing'
Trends
The main trends could be exposed as:Consider knowledge as something that is supported on the brainMaintaining a look over what is coming from Neurologists.Consider that it is able to formalize knowledge in some way.The support could be found on Cognitive sciences approach.Those trends suggest:A first idea in the way of formalization could be to define a Unit of Knowledge, in the way as it has been done in information theory (Shannon and so on) and develop a Theory of knowledge. If I’m in the right way, may be someone (else) will develop such a theory. It looks like we have to abandon the idea of knowledge as a thing and try to approach it in another way. (1)Another one is to omit an strict definition of knowledge going through it by a 'loose one' and make a turn around over a process approach. By now the idea is to extend the ideas under 'learning' to more process (for example those described under 'conditioning'). This means that I am proposing to get back to ideas that were being used several decades ago with the advantage that there is theoretical support and technical development over it.___________________(1)I assume that knowledge could be represented by a quantum variable, so assuming that there is a unit of knowledge.
Local use of the term
In any case it is needed a 'local' definition for knowledge.At least to some extend sources domain reference for Personal Knowledge could be found over the Cognitive sciences (interdisciplinary sciences are like a moll; now days Cognitive sciences trends are more in the neurobiology domain)I used the verb 'to think' and the substantive 'thing', and so I am proposing that 'things are needed to think' so considering knowledge as a set of things. This approach is the one that has been carried by philosophers, for centuries. Over the time the question arises to ‘ontology’ (in the philosophic sense) that is, how does things are? It can be seen easily that, for example, the screen of your computer 'is'. What about colors? What about meaning? Color or meaning exist as exists the screen? In this way we have to consider that there are different kinds of things. How are processed those kinds on the mind? Are there different ‘processors’? (I am introducing another term, the mind, and using a paradigm -the one that considers an approach to the mind as ‘something that processes ‘something’ usually described as ‘information' or 'data'). Over the time the analysis of ‘thinking’ evolved. It is relevant to expose the idea of ‘association’ that means that things are related in some way, for example in time or place… the sense there is, for example, that if you have the idea (as a thing) of a ‘leg’, and the idea of an ‘animal’, the mind works associating them, so you can obtain ‘the dog has 4 legs’. A more sophisticated and modern example is that if you are in a 'good mood' you will associate 'what is happening' to that mood. Focusing in the first example there is a basis for induction (a logic term that describes a formal process), not just over ‘things’ but over 'associated things'’ and that implies a change in the paradigm: knowledge becomes related with ‘associated things’. As a way to describe ‘associations’, we arrive to ‘structures’. The term structure is related with several sciences and technologies. For example, if the thing is a building, architects say that there is a structure in it; if it is a computer program technicians says that there is a data structure supporting the logic and so on. It is a diffuse term with which we try to express ‘things are related some how’. Structure has some connotations of organization and stability. It is a diffuse term with which we try to express ‘things are related some how’.
Knowledge structure
Structure has some connotations of organization and stability. We assume those 'properties' in knowledge. We can try to approach the knowledge concept saying that a 'loose definition of structure' could be used and so assuming that there is a structure supporting knowledge, name it as Knowledge structure and try to 'populate it', taking care about how we insert characteristics of knowledge more or less accepted as ones of knowledge, as could be association and things and propose ways of including others that are coming from investigation. The idea under this is that if more assumptions are made a 'part of the Knowledge structure' involved in those assumptions could be defined in a more formal way making at least that part of knowledge tractable. As parts are not isolated ones, the total structure continue to be involved so influence of changes over to whole structure is maintained. And another change in the paradigm: knowledge is related with ‘structured things’.With knowledge structure we are assuming that there are parts of knowledge and that those are also related, and as so (parts related to parts related to parts…) that it is a mesh. So we will assume that it is possible to focus just in those elements or parts that participate in just 'some relation' . (2)The question then that remains 'unsolved' is how to match the 'physical' structure (the one that is in the brain) with this 'logical one' . There is a lot of references under the idea of matching through 'functionality'. In the case of knowledge, there are approaches under the structural way, for example those that has conducted to mind maps an so on, but with, let us say. questionable results at least in obtaining a formal approach. If you look at the brain, there are tracts, nodes, 'zones' and so, and it looks like there are similarities of this elements (aspect, configuration, position, ..) between individuals of each specie. it can be supposed an structure there.We can consider the brain as formed at least by neurons related by synapses so the definitions could feed if we use as part a group of neurons that supports a part of knowledge, and we extend that to a 'network of related groups of neurons' to support a composed concept (not necessary related with words). We can extend this idea to arrive to the one of a global knowledge structure as the one that involves ‘all’ neurons. To represent changing we can manage over time introducing the idea of a neural state. Looks nice, didn't it? Yeah, but really complex as could be seen through some magnitudes. For example: a complex processor (CPU) has over 6 x10^9 transistors –memory should be added, I suppose- (http://en.wikipedia.org/wiki/Transistor_count ) and estimates for synapses are ranging from 10^14 to 5 x 10^14 (http://en.wikipedia.org/wiki/Neuron) and that some digits have to be added to codify the way in which synapses is modulated. Also, problems come from understanding how the synapses operates, what are the real neural components (the white matter) and of course the inconvenience because testing could just be done under several restrictions. And also from the neurons them self, they are not all equal, there are different types, and also some studies suggest that they are not just carrying 'data' like wires, but that it could be some functionality in themselves.
______
Delete on the Knowledge structure. There are process to delete, amnesia is an example. The habitual way is to forget. And it is a curious process.
______
_____________
Knowledge structure order
We have not defined an order in the knowledge structure above that one that permits to 'define' parts in a loose way and could derive from the definition of structure (related nods). We do not need to specify more because the need of a precise order should arrive when trying to describe any one of the processes or tools that uses knowledge parts. So we can assume for the knowledge structure a loose ordered one. Examples of loose knowledge structures could be, in academics: domains or disciplines; and in business modern organizations. The characteristic of this kind of structure order gives some functions: order is not complete nor strictly directed. I call this a mesh.
Knowledge structure properties.
When trying to relate an item within an structure by a property, there could be others because other item properties so there could be not a unique hierarchy (for example, organize from colors an size). So it is needed that kind of flexibility in the knowledge structure.?? Some process could produce change and reference of an item could change and modifications over it could generate inconsistencies hierarchies .. That's why functional programming is looked with interest ( F#).
_____________
Knowledge structure dimensions
<tt.Auxiliar>
Knowledge structure semantic dimensions
<tt.Auxiliar>
__________________
(2)Knowledge is not static so more complexity is to be expected. I assume that effects of change in the Knowledge structure are sequential.
Focal Point
Natural flow is about time and space. How do that goes on the KS? Data in the KS… and these 'data' are metadata that is data related with the modulation, not with the 'elements themselves'.Usually two 'kinds of things' are established, that translated to this model are more or less those related with the ones that come from the Natural flow and those that come from the Human flow. In this model, as Natural flow refer to acts, there should be no distinction about any 'kind' of things under the Natural flow. For example: 'love' and 'steak', are things that can be used in similar acts, as in 'writing about love' or 'writing about steaks'. And as almost anything that is in the Knowledge structure is there by the learning process, almost every thing is virtualized. This set can be named as 'virtualized world' or 'extended world'. Resolving that 'almost' pass through the physical support, that is, every thing that could be used by each of both fluxes should have the same characteristics of those ones that come from the physical constitution of the body, for example the heart beat. So it is needed for the learning process (it is not need to define two learning processes) to convert 'any thing' from the Human flow in a compatible form of that of the physical support. But as we can not 'understand' the hard code, the model should be constructed over an intermediate step, the virtualized world or extended world, that defines the domain that is related with what we can tell about acting and thinking and where other characteristics that are there, as 'emotions', but about which our 'telling' is not that good are included as parameters that modify the access of the flows to those thinks. Some characteristics are needed in the components of the Knowledge structure to support 'things', 'acts', 'emotions' and so.
Future Focal point
The development will follow by the 'written knowledge'.
Why 'The development will follow by the written knowledge'?.Natural flow is a complex dynamic and feed back process where an organism brain should use any useful available tool and knowledge.In the actual state of the art there are no means, but in experimental or medical surroundings, to measure the relation between brain states and organism acting. There is a reasonable doubt about if it would be stated a deterministic relation in the near future.The act of writing involves thinking and natural flow acts. It is assumed that in that 'state', the one of writing, Natural flow actions could be well separated from those that involves 'thinking' and so we could obtain a way of analyzing knowledge processes. Writing is a mechanic and sequential act. Written materials are static. Written materials do not reflect personal knowledge, but if something could be established as a 'final write material', It is assumed that there is, in those 'final write material', some reference to some personal knowledge. If there is enough final write material, a mechanical process could construct some part of personal knowledge, the one referred to de domain of discourse. This point to extend the concept of linguistic corpus to a personal corpus, and so if applying semantic tools could produce results.One of the questions that arrive when looking at 'written materials' is that there are words and it is not necessary to relate knowledge with words as there are not words in acting, that is in the Natural flow. In the other hand, words are needed to communicate. So…
2. What does learning is?
As far as I know learning is a better established concept than knowledge. Since Pavlov established the Conditioned learning or Classical conditioning or however you like to refer to it, we have a supporting point about learning. Of course that is not a very innovative reference, but let me pass over all of the theories that have being exposed since then to assume learning as a fact, and propose it as a process by mean of which we are able to introduce in the brain some ‘knowledge’ (whatever this means).The objective of learning is allowing that new things can enter in the extended world and could be used by the processes related with the natural flow.Let us assume that learning, at least some kind of it, is genetic programmed. That means that every organism is prepared to learn.Neural networks, an example of AI element, has a learning process, after witch, the Neural network can decide if an impute in of one or another 'categories'; it is an example of how learning, Natural flow an Human flow is used here.
3. What does thinking is?
Everybody has an idea about what it means. For example, this word has been introduced in the above description of knowledge. But that’s not true when you approximate to the term through Philosophy, Psychology or Cognitive sciences. The main problem is that of course, we can identify thinking with that process that works when you, for example, are typing a new text (I am in that kind of mode now). But also can be identified 'other kind' of processes. For example, you can observe yourself (or any other one) when drinking something or walking through the street; those actions are done, let us say naturally: almost we don't identify any thinking there. It can be said that that type of instinctive actions or automatic behaviors or whatever name is used are not in the domain of thinking. As so they had been positioned over the time. But if you were a robot programmer surely you will not agree: drinking form a glass or walk in the street are not that simple: a lot of ¡knowledge has the be put in the system and managed for a robot to achieve them. Now let us observe ourselves when in a meeting with our friends we talk and, for example, we make a joke ¿is that on the domain of thinking?We can enter on a discussion and try to delimit 'categories of thinking' and assign objects to those and so on… but there is another way: We can say that every action requires a previous knowledge and define thinking as employing the knowledge structure. In this way we can say that we are able to drink from a glass because you learned (incorporate to the knowledge structure)what a glass, and learned how activate the correct muscles to grasp, and controlling the movement over a 3d space, and moving the mouth muscles, focusing the eyes.... Let us suppose that whenever you learned about your muscles, about how to move your arms, how to grasp what a glass is, some elements were archived in the knowledge structure. So the brains is populated by sub structures of knowledge and 'by itself' makes our life going on. We can assume that there are thinking processes that are hardly related with the natural flow.As indicated above, there are the ‘other processes, those introduced above as related with the popular way of describing thinking. For them, we can suppose that they operate over the same knowledge structure and only if needed another one will be constructed Let us establish two scenarios differentiated by the use of words.If words are not used, we can assume that thinking can work over the general knowledge structure; and there are no differences between processes, but those that permit incorporate a process itself and the 'pieces' in the knowledge structure and suppose that all the knowledge needed is there, incorporated through learning process along time.When using words, for example when talking or writing, by some means it is needed to relate structures of knowledge and language (structures of words). A second acceptation for thinking could be obtained from there: thinking is the relation of knowledge structures and language.We can find here an approximation to the traditional division of mind and brain where mind is used to describe ‘that part’ that processes those 'explicitly human processes' and that has been a focal point over the time. Brain is a more general term mainly used by other branches of science.In this approach, we flip to the sense that brain is the focus part and mind, if used, should refer to a process (the theoretical support could be found - more or less - in ‘Neurosciences’). It can also be found at least some influence or convergence in the approach to knowledge as tacit or explicit in the writings of Nonaka and Takeuchi’s3.1 About Constrains.
Do every thing can be think?It is easy to approximate a first answer through the knowledge structure. As so far it is defined (as thinking is defined as manipulating the knowledge structure) each individual could be able to think about those things that are in his or her knowledge structure. So, employing the learning process (the one that incorporates perceptions into the knowledge structure)it could be said that anything could be 'learned' and so, that anyone could thing about every thing. And that's against the 'common sense' (we should consider as a fact that not everyone can think on everything). For coherence, we have to look for an explanation on the knowledge structure and look for 'restrictions' or 'constrains' in it.For many time the paradigm has been that natural flow is not in between humans’ constrain so humans were just constrained by the human flow. Here we will consider that separation between the natural flow and the human flow is a virtually creation , and as we 'continue' being organism, there are natural flow constrains also for them.As we have included in the knowledge structure all that related with the natural flow, we will look for restrictions coming from this area. Some technical terms related could be 'brain plasticity' and mathematical 'Chaos theory', Emotions, &c.Those ancient Greeks like Aristotle, Plato, Pythagoras, and so on are recognized for a lot of great thought, but there is one that is some opaque: a general law of logic for the brain processes. I mean, not the logic itself, like the Aristotelian one, but the need of a logic for the brain to works. I think that there is a general acknowledgement on tight ere is not ‘one logic’ (of course that ‘syllogisms’ or 'induction' are a good tool)that could be considered as a general law (that one that must occurs in every brain), but we can affirm that a `logic’, however it is formulated, is needed for the brain to work. Philosophers are the people that study human social principles and values. They establish frames that could be seen as, at the same time, restricting and permitting how knowledge structures can be formed; the restrictions align the personal knowledge structures to what could be expressed under the 'common sense'. Almost all the thinking that a human can ‘produce’ is supported over structures allowed under the ‘dominating philosophy’ (the one that occurs at the moment and in the space in which a human ‘is being’). But as virtualization is a mean to broke limits, in any moment new proposals, out of the dominating frame, can occur and social acceptance or rejection will result in variations of the ‘common sense’ . Here we are approximation to a broader restriction term, where are included other restrictions that comes from sources not necessarily proposed through philosophy.In the model, the place to support these logics is as a modulator of the perception (an interesting proposal, indeed). There is no need to include any restriction that impeaches more than one logic or the correctness of such a logic (so creating place to, for example, the paradoxes, ambiguity, interpretation, cultural diversity, &c). Just maybe could be needed a ‘soft internal coherence restriction’. As an example, look at this: there is no problem for us 'to see a flying elephant'.What are the consequences of positioning the restrictions as modulation of the perceptions?As mental processes and natural flow's are positioned as parts of the perceptions, we don't need to explain separated modulations systems (for example 'mental processes and emotions"). A support to this could be, for example, the hormonal system.There is no need to put restrictions through the knowledge structure, allowing us to maintaining the idea of some stability or rigidity for it.This approximation means that when you don't like something or you think that 'something is wrong', those 'qualifications' are been carried as restrictions and so, that the knowledge structure can act over the modulation 'on the fly'. This could explain how for the same 'question' answered in different moments, the personal answer could be different or the absence of reasons.
4. What does mental processes are?
Mental processes are described in the literature as those needed for thoughts, actions, plans, language, understanding of others and so on. There is not an official list, but this king of more or less general descriptions are more or less in 'all lists'.Process is a word, noun and verb, that pushes the idea of well defined actions and sequence (some kind of order), as in things that can be engineered. Usually a process is described as a transformation operation: input into outputs and so it also includes or is referenced to a 'target' giving a sense of directions. It is used under many disciplines: chemistry, management, production, project management, cooking and others ...Most of the time, it is used like a wildcard. It implies mainly a reduction of the scope. I use it when a detail description is not convenient under the circumstances of the speech, and even when I am not able to. Here, actually, I have, and will put, under it a lot of things that are not well defined, and in most cases not even remotely reach an approximation to a definition.Thinking by now is described as 'employing the knowledge structure' for an action to occur, and that can also be looked in terms of processes. Yeah! Gerund terminations always 'point to a process'. Learning was described as a process.As said in the introduction, an organism receives inputs and actuates in accordance to them. So, simplifying, an organism can be see as a bunch of processes that carry on with inputs and generate outputs.By now let us not consider transfer from the knowledge structure to the positions where it will cause the action to be carried on (for example the muscles of the hand). We will reduce the scope just to letting and getting data in 'somewhere' of the perception mechanism (1). When referring to mental process that occur in the brain, it looks like there are a lot of, let us say, ‘tasks’ occurring at the same time and involves different neural tracts and neuron groups. So the brain ‘global knowledge structure’, should be changing in several physical (geographical in terms of the brain) points at the ‘same time’ and the coherence of the ‘system’ should be maintained… a complex system indeed!There is a ‘Natural flow’ tool, a ‘mechanism’ that permits to ‘focalize’, getting aware just of a part of the knowledge structure so making ‘opaque’ almost all structure. For example, I can type without noticing that I am moving my arms, and that I am sighing.Structure has some connotations of stability. Process implies changes and something to execute it . Something has to make the changes. Changes in the brain are constantly occurring; scientists explain that blood and ‘other things’ are moving over there and a lot of substances are changing of place and ‘concentration’. So it is not needed to define ‘who’ is making the changes, but just be aware that the changing process is implied there. If structure is defined as ‘how the parts of a thing relate to each other’, as said, we will assume that processes can focus just in those elements or parts that participate in 'some relation'. As no one will take 'that' ashtray for drinking, we will consider that the process that is being triggered under the word 'to drink now' should be able to select the glass. As said before, there are a lot of thinks that need to be learned along time for being able 'to drink from a glass' and that learning process has changed the knowledge structure in a way that all needed for the action to be carried on has been stored, also the selection of the knowledge needed for it.So mental processes here are a little different, are more like actions, related in terms of langue with verbs over the extended world.So we can define anything as a mental process, for example running and we can say that it includes some planning, And what about planning itself? I think that it is not needed to be a mental process (someone can run without knowing that there is a planning there, so planning looks more a construction) but as we humans virtualize, we can make planning a mental process and observe us when planning and we will not be able, as we did not established a difference in the perception of things coming through natural flow or human flow, to make any difference. Of course any one will ask for planning in lunch time!!The Oneself
And so we can construct (an important process)the Oneself. We can admit that any organism has capabilities of identifying their limits, so by that path we can construct a part of the definition of the self as coming from the natural flow. Also it is not difficult to assume that any organism can identify its kind from other kind of organism; this can be supported 'easily' at least under those who have different sexes (males and females)and another bit comes through the same path (by now I'm proposing that any organism knows that he is an individual and probably -if circumstances occur- of a determinate kind) ; with these and with learning (imitation or copying)and via virtualization it is not difficult to assume that human brain is able to create a Oneself as the virtual representation of a human and attribute it whatever 'experience recommends'- through the learning process. So in this model oneself is just a part of the knowledge structure (Is it possible to play chess against yourself?). And it is a powerful toy: it permits us to 'manipulate' to some extent the knowledge structure. It also permits to refer to mental processes as tools, in the sense that tools are specialized means that Oneself can use to modify the knowledge structure and so not having to use other words as functionality__________(1) This permit us to not attend those automatic responses that occurs, for example, when someone moves rapidly his hand because it gets burned!. There is an interesting thing here, because in this kind of situations there is not enough time for the central neural system to command.
5 What does perception means?
We can see the brain as surrounded by several neural links that populate our body till specialized parts, in the 'peripheries', that actuate as detectors and that this neural ways by some means can change the knowledge structure . Probably an explanation could be obtained from an approach to functions like 'seeing' or 'listening'. Let us assume that those processes make knowledge structure changes.But that do not explains everything that is in the knowledge structure. There is also something related with he words. And not everything in that domain came's through the 'peripheries'. Indeed, it can be said that no one of the things that 'can be named' come through the natural flow path.Let us propose a situation where the brain is just working with a knowledge structure only related with the natural flow, where the subject is just doing; an example of this could be 'a completely concentrated football player in the middle of the action'; we can assume that there are not words needed. The state of our player can be changed, let us say, 'de-stressing' the situation upon we find some one where there appears the needed of words, and so, it could be assumed that words are something related with the kind of process that arrive, not to the knowledge structure itself.In the other hand, we have assumed the virtualization path and there is no problem to admit that words are a great basis for it. We just need for maintaining the unity of knowledge structure that through this path, the knowledge structure can be changed. As the model gets simplified (without loosing generality) if this kind of modification is assumed to be essentially similar to the one that is made through other elements of the perception system, we can assume the 'mental process' as a sense.We are suggesting something radical, I think, against the principle of duality, that has lead philosophy for siècles for resolving the problem that if we have two structures we need in general have everything duplicated, or a disjunction ´two different systems isolated each form the other, or two systems and an interface.Some paragraphs above, I establish that two kind of structures could be needed, the one about witch we have being exposing ideas an another one coming form language. From here, we can obtain that this 'verbal structure' could be created on the fly and for the needs of determined mental process, for example the one of 'talking' or the one of 'writing'.About Memory
It looks like there is more or less, common agreement in that there is not a memory 'chip' in the brain.In the other hand, there are a lot of theories and studies about memory going on. Most of them divide memory in something like levels: Operation memory, long durance memory (like those batteries of the Rabbit…), and so on. Probably the influence of how computers work has something to do in those approximations.As we assume an structure, by definition there is some stability and memory can be defined as the stability of the structure itself, or in other words, memory can be defined, as a thing, as the one that gives the knowledge structure it's stability.There is and 'old' proposal, due to Hebb, that suggests something like memory is 'just and 'habit of neurons and synapses', so 'exercising memory' could be explained as a consequence of using parts of the knowledge structure (that's the thinking definition).It looks like in this approach, sorry about that, there is nothing that we can call 'memory' (I can hear the laughs…); we don't need it. Of course, we can use human flow and each one can define such a thing; it could be useful as you know in a lot of mental exercising.