1) Intelligence could be made of three major algorithms...a) a one based on which we perceive the world and b) based on which we figure out what to do? I think there is also a c) third 'sub-algorithm' or more correctly a super-algorithm which codes for or is an algorithm made up of our inner-most thoughts about our needs ,desires, goals and it also uses the above mentioned a) and b) algo. 

2) And each of the three algorithms has equivalent kinds of neurons/neuronal clusters? feeding it. I am going to use the word neuron but it could also be a neuronal cluster instead. The.... in no particular order ... what... where.... when... why... how...who....kinds of neurons. Each of the three algorithms has its own of these and depends on these kinds of neurons. And these in turn are first order, second order, third order and fourth order. From the lowest to the highest. ( Fourth order is a sometimes fuzzy order, whether our fourth order neurons work or how they work depends on our knowledge, insight, wisdom, age among other things for eg: some fourth order neurons might not be active in very young children). And all orders of the who, when, why etc neurons of a particular algorithm sometimes work together to form a composite imagine of the individual category (a composite who) and also work together to form a bigger composite image using the algorithm...the image here being who is doing, what, where, when, why and how.

3) Elaborating a bit more on these neuronal orders and their functions... eg: 'where' neurons of the 'a)' algorithm figure out where we are or where a place is? like it recognizes the street in which we are walking. And the second order 'where' determines stuff like which city we are in and the third order where neurons of this algorithm determine which state/country we are in and the fourth order determines....stuff like we are on planet earth/milky way galaxy. Similar with why, when, how, what, who neurons of the algorithm. But also... the second and above orders what, when, why, who neurons (not where though) are 'conceptual'. They think conceptually. For eg: The first order 'what' recognises objects, second order recognises 'activities' etc (an activity is a concept) while the third order 'what' neurons recognise 'what it means' . For eg: We see a football match on T.V. the first order sees the football, the second order sees activity (players running around it), third order determines 'what' it means...in this case a football match. And the fourth of what determines...that it is entertainment.

4) Similar with those of the b) algorithm... the algorithm using which we determine what/ how/where/when to do to get what we want. It also has corresponding first to fourth order neurons. For eg: the what of b) determines 'what to do' not 'what' is something. And c)'s first order 'who' recognizes who 'we' are a... living being and its second order who recognises the 'concept' of...our gender, race etc and similarly the third order 'who' recognise our occupation (for eg: if i am a software engineer it recognises that ) and fourth order of who we are...meaning our position in society, in the world etc

5) And c) algorithm determines our goals using the knowledge of the composite why, how , who etc of us and the composite picture of the output of all of them and achieves them based on and using the composite images/output of the above mentioned neurons of the a) and b) algorithims. 

The above is a very broad/basic description.

6) Every thought is a 'mental action of association'. For eg: The 'what' thought is a mental action (associating what with what) , the 'why' action (associating what with why etc). When we are trying to figure 'what' something is.... we instinctively are performing a mental action of association. We perform these five kinds of mental action...what where when why how while making sense of the world using the first algo, when figuring out what we need to do (the second algo) to figure what we need (the third algo).

At our most basic we automatically think along these five lines of associations. What where why how when. That is how when growing up.... babies and infants 'learn' as they think along these five lines automatically. For eg: When they are shown a picture of an apple and told its an apple, the 'what' neurons pick it up automatically instead of say their 'where' neurons. They associate the picture with an apple. The 'what' association. This is instinctive. And while growing up later during childhood we eventually are taught or learn the meanings of 'what' 'where' themselves etc and using these we learn to recognise objects or higher concepts by ourselves. Just like how the mind is taught basic 'whats' like apple, it is 'taught' at various stages.... higher whats (activities,events, concepts), and also stuff like where(places), when, why (needs, desires, ambitions), how (process concepts) etc. Otherwise IMO it wont recognise these things or things dependent on these things or also use the above knowledge to do stuff using b) c) algos.

7) And every kinds of the above six (who what when where why how) kinds of neurons have a 'corresponding' memory bank made up of memory neurons that stores the memory which could be useful to do the tasks the neurons do. For eg: what neurons that figure out the 'what' have corresponding 'what' memory...memory that is useful to figure out what is what. So even memories could become active this way. For eg: if we are trying to recall where we are, our memories related to 'place' become active instead of say what, who based memories. And if we are trying to figure out who somebody is, our 'who' based memories like his or her name become active.

Same with b) algo, if we are trying to figure out where to go, our place based 'where' memories become active.

Also each kind contributes to another. In order to recognize something (associate something with something) like recognize the word 'travel' as mentioned in my above post sometimes we need to know (prior knowledge/memory) that the plane is used for travel and form associations and vice versa.

8) And each of the above three algos correspondingly have these six kinds of neurons and correspondingly think along these six lines at their basic to achieve their algorithmic goal. Each algo at its most basic thinks along these lines but in regard to their primary function. For eg: The what neurons of the b) algorithm makes the 'what' associations like 'what we need to do' (not 'what' is happening) and where neurons of it do the 'where' associations...where we need to something etc. So the b) algo thinks in the combination of ( 'what to do' and 'where') by combining input from its what and where nuerons.

9) Our 'thinking' is primarily 'associations'.... we figure out associations in the above ways or we create associations in the above ways to figure out something or form thoughts.

We have thoughts along these lines. But what are these 'thoughts' themselves basically. Or what are they made of. I think they are a) 'mental representations' of what are senses gather and which sometimes combine with b) mental representation of what our senses gathered previously (prior knowledge...or memory if you will). When we think 'what' like 'travel' a mental representation of a plane or a car or 'people moving' comes to our mind. And to think of the above we need to have a 'prior' knowledge that the plane/car is used to travel in order to create this 'what' association.

10) And at our higher level we form 'higher level' of associations:

'Analysis' and 'organisation'. Basically de-construction and re-construction. Each is done using the knowledge gleaned by the six kind of neurons of all three algos.And each algo again has its own version of these clusters. So the a) algo does a higher level analysis of a theory we are reading, whereas the b) algo does the analysis of what we need to do. The three kinds of algos also get feedback from each others' AO clusters/ and what where neurons too... in order to work together.

For eg : when we are planning our day we try to recognize 'what' time it is, we analyse what we need to do based on the understanding of our needs (also formed by the third and fourth order what, why neurons of the c) algo ) and then organize our schedule using the above means.

I will try to elaborate this particular issue a few posts later.

11) But all is only made possible by our awareness too. The brain has a 'global awareness network' of neurons (by global i mean encompassing the entire brain) which is composed of 'awareness' neurons and awareness 'switching' neurons. Hyper local, local and global awareness kinds of neurons and awareness switching neurons. The a) and b) algos have their corresponding hyper-local and local awareness and awareness switching neurons while the c) algo which is the major algo... has local and global awareness neurons and awareness switching neurons.

The hyper-local awareness neurons are what makes us aware of a single thing happening, like us being aware of looking at an apple when looking at it. The local awareness neurons help us (together with the above 'what' 'where' and the ' the higher functional association' kinds of neurons of a partiicular algo ...for eg: of the algo 'a') help us form a composite image of what is going on (an apple on an apple tree in an orchard swinging in the breeze).

12) This awareness network is the weakest in babies and it becomes more and more developed as we grow up. But although weaker it still functions in babies.When they are being taught to recognize an apple, the edit: ' hyper local' aware neurons partly work with with the 'what' neurons to help them recognize an apple as an apple. But edit: since local aware neurons are weaker in babies (and since babies also have weaker memory and weaker higher-order what, why etc neurons (which i forgot to add)...it takes longer for them to learn it). But as they keep growing-up the local and global aware network becomes stronger along with the corresponding memory and what,why neurons.

13) Coming back to the the topic of awareness: In a way we have three kinds of awarenesses 3) the global awareness (of the c) algo) fed by/using which and sometimes even contributing to the 1) local awareness of the a) algo and that of the b) algo. Sometimes the local awareness neurons of each algo work separately and sometimes together with local aware neurons of the other algos. (Sometimes we are aware of what is happening but not aware of what we need to do or what it means to us, but sometimes we are). Even the hyper- local neurons (of both aware ness and its corresponding aware ness switching kinds) sometimes work alone, sometimes together and sometimes work with local aware neurons of the a) and b) and sometimes with the global aware neurons of the c) algorithm, both kinds (global awareness and global aware-ness 'switching' neurons of the algo ). Ofcourse they also work with the kinds of neurons mentioned in my earlier posts and algos too. I am finding this confusing to put into words too :) but i hope i am being clear?

14)  I mentioned above in earlier posts that we gather information of the world primarily by 'what' neurons. Elaborating a bit more these neurons gather it through the following means : The basic what neurons perceive the world by gathering information about it. And we gather this information about the world using various means like 'sounds' 'appearance' 'movement' color temperature pressure weight , texture and other stuff like humidity, brightness/darkness.

Some are physical sensory: Weight, temperature, heat, humidity etc. Some are mental sensory like light, sound. Some are 'direct concept' sensory like words (more on this later). Using these means we understand the world.

The 'first order' 'what' neurons of the a) algo could be grasping the physical and mental sensory information. They store the information the same way ( using corresponding memory). It remembers a sound exactly as that sound initially. And later as 'higher order' what neurons develop they store it as a 'word'.

15) And the above what neurons and awareness neurons also work with the higher orders of 'what' 'where' 'why' 'when' 'how' neurons and functional neuronal clusters (which i mentioned above). This enables us to better perform the above mental actions (the mental action (associations) of the what where when etc and the higher mental associations of analysis and organisation as i said in the 10th point) and also switching between those mental actions using local and global aware switching neurons.

16) Also how we plan or organize something? How do we know that we have make calls or book appointments or take distance and time into consideration to plan a trip? This is basically done by the 'what' 'when' 'how' kinds of neurons of the second algo, The algo codes for what needs to be done to achieve what we want which in turn primarily determined by our third algo as i said above. For eg: When we feel we need to take a trip with our family (using our third algo), the second algo kicks in using the link of global awareness neurons (of the c) and the local awareness neurons of the b) taking a lead role with local awareness and other neurons of a) forming a supporting role. Ofcourse also with the help of corresponding attention switching neurons of it. So the second algo thinks only along these lines primarily. The higher order 'whats' of the second algo determines the major 'whats' that need to be done primarily to plan a trip. Make a reservation, tell your friends and,clear your work schedule etc And the higher order 'wheres' determine where we need to go to take a trip (airport, bus-station etc). And the lower order 'what' determines the basic 'what' of what needs to be done to plan a trip like book tickets on a travel app etc. I elaborated about this even more in my last comment.

Of course all the 'what' why' neurons (lower order and higher order) of the algos are interconnected and feed each other information too. Like in order to book plane tickets we need to determine stuff like what object is our phone and where it is? :) And similarly the (higher order) functional connection of all algos work together too. When we reach the airport we need to do stuff like analyse the crowd and determine which gate is empty in order to make it quicker to board the plane. (And why we need to board the plane quicker, because waiting is a pain..as determined by our lower order neurons of the c) algo) . Talking about c) algo which i forgot to elaborate... the c) algo helps us determine (using all kinds of its corresponding neurons and also with the help of the other two algos sometimes playing a supporting role) helps us determine our basic and deepest emotions, goals, desires, ambitions (lower and higher order neurons of it). And the other two algos play a supporting role. ( for eg: when we find out stuff like floods in thailand and figure out we cant go there (using (a) and (b) algo) our desire to go to thailand vanishes and we feel we need to go france instead).

17) And in order for the second algo to 'know' stuff like.....it needs to book a ticket using an app it also does it using 'Prior knowledge' which feeds the 'what' neurons' of it. Growing up we watch our parents booking trips, and we automatically encode it using our 'what' and 'how' neurons of our second algo. If i grew up all alone on an island i wouldnt know it. So prior knowledge also plays a huge part.

18) The global awareness neurons and to some extent local awareness neurons could be specifically linked to neurons that understand and determine 'relevance' and 'irrelevance'. And these relevance neurons also determine that by various connections to higher order neurons of the algorithms. Or maybe there is a separate 'relevance-irrelevance' network that determines 'relevance' at first look (for eg: if these ideas of mine are 'relevant' ?:) ) and which works along side the aware network and determines relevence using various connections like the above.

19) Time and space could be done by the fourth order, when and where neurons of the a) algo, a 'location' (which is done by 'where' neurons is but a unit of space. Instead of being done by separate neuronal clusters.

And a little more detail about the a) algo...How does the a) algo form a composite image and determine stuff like what is happening esp stuff which it hasnt seen before. For example if it is exposed to for the first time.... the new years eve celebration in times square ,new york.....and it has to determine what it is. It uses the lower and higher order what where why how etc neurons of it. But it also uses the data from lower order and higher order when neurons (that perceive the time of day month, year) and which work with the corresponding memory neurons of the what, where neurons...to help it recall and understand stuff like what month and year it is (by higher order 'time' neurons) and also stuff like...'time changing' (neuronal clusters that understand time should also understand that time changes) and thereby what month and year it is going to be.... thereby determining it is 'new years eve'. And it determines it is a 'celebration' by....seeing people 'celebrating' (it should also have a 'prior knowledge' of what celebration means.... as i mentioned above in my earlier posts, and recalls that knowledge using corresponding memory neurons), and then determines where it is (times square)..... by recognizing stuff like street-signs and landmarks using lower order and higher order 'what' neurons ( where and what neurons of an algo also work together as i mentioned above and their corresponding memory). So it could form a composite mental picture of 'new years eve celebration in times square new york'.

20) With regard to 'understanding' and 'recognizing' higher concepts like i mentioned in one of my above comments:

We try to instinctively figure out 'what' something is when reading about it or hearing about it. (if it is a 'what'). And since higher 'whats' are concepts, it only means higher concepts are 'whats'. This might sound funny reading, but i dont have a better way to put it.

So how do we understand the higher' 'whats'.....we do it using the just lower 'whats' ('lower what' recognizing) neurons at the beginning. For eg: to understand the word 'democracy' we need to know the lower 'what' of it, in this case its a 'system of governance'. But this create an issue. We wont understand the meaning of the word democracy if we dont understand the meaning of the word system of governance. So again we should 'know' (prior knowledge) of 'its' lower what. The meaning of the 'what' called 'system'. And so on. We understand higher and highest 'whats' (advanced concepts in this case) using lower 'whats' too.

21) And the higher and highest order 'why' determine 'purpose' and meaning. For eg: if its looking at a car it will figure out its purpose. Rergarding meaning i mentioned some about it above. And i will try to elaborate on it if i can, in future posts.

The LC order of doing things: Growing up we try to figure out or also do things in this fashion. This is done by 'aware' neurons working with the second algo. Our mind is instinctively aware (weakest at birth but gets stronger as we grow up) that it needs to do it in such a fashion. And we use the the above neurons of the a) algo for the info to do it. For eg: if we need to go to a super market to buy stuff. The LC order is....get in the car, go there and park, give money take goods and come back. For doing this we need to know what car is, what its purpose is, know that we need to pay money to get goods (prior knowledge neurons connected to (how neurons of the a) algo) for eg: if it sees somebody getting goods the a) algo's 'how' neurons recognize it and its corresponding memory stores it. And this memory also may work with the how (how it can be done) neurons of the b) algo. Same with the knowledge of getting in the car, going there.

So using this info... the aware neurons ( that determine that things should be done in an LC way) we (but before i say this i have to say one more thing):

But all the above could only be possible by a central 'do' neuronal cluster in the brain. Using which we do or execute mental actions. I said above in one of the earlier posts, that the aware network has aware-ness switching neurons. I think the network may also be connected to these 'do' cluster directly too and this neuronal cluster is in turn connected to all the three algos. This is how we become aware that we have to 'do' something....and be able to 'do' it by figuring out what is going on using a) algo, and it being aware of what we need (c) algo) and what we need to do and how to do it ( both by the higher order why,what neurons of the b)). It is the central execution cluster using which we become aware that we have to execute (by its connections to the aware network) and also be 'able' to execute all mental actions of (a) b) c) algos). I think it could be more of an interface (the right word?) using which we execute mental actions of a) b) c). It gives the signal to ''do'' basically.

22) Two more things i must add to this thread. 1) Determining the 'logically chronological order' of perception and also able to think along those lines esp when doing stuff like organising. 2) And understanding and recognizing 'abstract' lower level concepts like 'cause' and 'effect'. And this cause and effect instead maybe done by independent neuronal clusters rather than space and time. Regarding LC order, when we become aware that we need to do stuff in an LC order, we use this execution cluster to chart a LC possible order of events (possibly determined by the way i described in the top paragraph of this post) in the 'mental image engine'. Which i will talk at the last :)

23) This is also a furthur continuation of my 14th point. There maybe two major kinds of what neurons, not one kind. All other kinds are just one (but lower and higher order). But 'what' neurons specifically may be of these two kinds. The 'qualitative' what neurons and the 'quantitative' what neurons. The qualitative what neurons determine the qualities of something. Like if its looking at an apple it notices the colour ,shape etc. While the quantitative ones determines its quantity. By quantity not just number, but all kinds of quantity like 'big' apple. 'loud' sound etc. And ofcourse these are both connected to each other and both connect to the higher what neurons and lower and higher-order other neurons like i mentioned. And some of the higher order neurons store them as mental verbal info (a direct concept). Using these techniques we may perceive the world and store info about it.

Now because they are connected we can perceive a particular sense and a particular concept at the same time or perceive two or three sense at the same time. For eg: 'Heat and humidity' at the same time. Or perceive 'heat and humidity in a concert' at the same time.

An in order for us being aware of it, they coould also be connected to the the corresponding aware neurons. And we also usually tend to think what to do about it and figure out and do something about like go to a better ventilated space or something. So they must be connected to the b) algo and its awareness neurons and ofcourse the 'do' cluster that gives the signal to 'do'.

24) Some of my later posts i should have posted at the beginning, but those things occurred to me later.

I said above in my sixth comment, that every mental action (a thought) is an association.

But we associate them in three ways: Understanding, recognition ,execution. I said in my fifth comment that we do analysis and organisation. But we do analysis and organisation to think in the above three ways. Primarily all our thought is those three ways. Edit: A simple thought is 'association' but bigger thoughts are analysis and organisation in those three ways.

I talked about recognition and execution above. Regarding understanding: A separate neuronal cluster exists. But it has a network... with itself at its core. This network is connected to higher and lower order various neurons and ofcourse the aware network :)

Say we have to understand a review about a smartphone. When we look at it the what neurons and the aware neurons help it recognise that it is a review. And through their connections to these clusters we understand the review using higher order what neurons. Ofcourse knowledge/memory neurons connected to those what neurons also play a role. Ofcourse higher order what, where neurons also play a role in this.

25) Reasoning: In a way reasoning can be defined as figuring out what is 'possible'. And logical reasoning is reasoning determining what is 'logically' possible. I said above in one of my comments that in order to buy something we figure out a logically chronological order of events. We figure out that in order to buy stuff we need to first get into a car then go to a store pay money and buy goods. Not ...pay money then get into a car then buy goods etc as its not logically possible to do it.

So we do it in a logically possible way. And how do we know how what is logically possible or for that matter what is possible and what is not. For that we need to know 'cause and effect', 'purpose', 'availability' 'location' etc. That the 'effect' of paying money and getting into a car doesnt buy us stuff. That we need to go to the store to do it. And know the 'purpose' of a 'store' is. So if we know the purpose of store and the cause and effect ( of going into a store and pay money and then we will get stuff) and not into a car and pay money, we will be able to map out a logically chronological order of doing things.

Purpose and location can be done by what, where nuerons. As 'purpose' is a 'higher' kind of what and location is a 'where'. But knowing stuff like 'availability' and 'cause and effect' may be done by 'independent' concept neurons. These neurons understand concepts independent of the concepts, the 'what' neurons understand. I said in my 11th comment that there could be neurons that do 'relative concepts' like distance, size etc. I think i would like to correct it, i think distance, size can be done the what neurons themselves, because as i said there could be qualitative and quantitative what neurons. The quantitative whats do the size, while the qualitative whats do the distance.

Instead 'independent abstract' concepts like 'cause and effect' and 'relevant irrelevant' which are not always specifically related to what why etc....could done by independent clusters. But ofcourse they should be connected to the what and why neurons from which they get and also give feedback. For eg: If you want to go to europe but you have to be there within a few hours, we know that a car is 'irrelevant' for that because we know that a car doesnt travel very fast and it cannot cross the ocean (we understand the cause of why not to take a car and the effect of taking a car and thereby determine its irrelevance for that trip). Its because these neurons/clusters are connected to the what, why neurons of the a) algo and ofcourse b)algo too...because we 'plan' to avoid a car and take a plane. I said above that reasoning in a way is determine what is possible. I must add that reasoning in way at its basic is determining what is ''possible' by understanding cause and effect''.

26) In one of my earlier comments i said : >''Instead 'independent abstract' concepts like 'cause and effect' and 'relevant irrelevant' which are not always specifically related to what why etc....could done by independent clusters.''<

But i think 'concepts' can be classified into 'process' concepts and 'non- process' concepts. For eg: 'Cause' is a process kind of concept while 'relevance' is a non-process concept. This distinction is important for learning or doing or understanding. And i think the mind consciously or subconsciously does it too.

27) How do we do stuff like math, science (well atleast elementarily IMO).

Math is 'quantitative' reasoning at its basic. In a way it can be said that it is the study of quantities and how quantities interact with each other to give what quantities in a logical way. It is quantitative logical reasoning. We reason out the cause and effect of subjecting quantities using various process. Which i will elaborate below.

We are taught symbols first. We are taught how they look (done by the lowest order what neurons). Then we are taught that they are called 'numbers' (slightly higher order what neurons pick it up...the 'concept' of number) and what each symbol is called specifically. I mean we are taught a 5 looking symbol is called 'five' ((sound, picked up again by the sensory 'whats' as i said above in one of my earlier posts. Speaking of which.... i said above.... the sounds and appearances are picked up by 'what' neurons, but i must think these could be 'separate'....i mean the sound and appearance picking up 'what' neurons are both lowest-order 'what' neurons but separate. Lowest order 'what' neurons could be many kinds, some pickup appearance, some sounds, some stuff like temperature, pressure etc as i partly said above in another post. But as the order goes up... i mean the higher order 'what neurons and highest order 'what' neurons, they are of lesser number of kinds).

Elaborating a bit more: After we are taught symbols first for eg how they look like, sound like, we are taught what number signifies what quantity. This way we understand the quantities too (using also ofcourse the 'quantitative; whats too :)). Then we are taught 'processes' like addition, multiplication (like what they mean) which are picked up by the above independant cluster. And then we 'apply' it...we add numbers, multiply them etc to (quantitatively) 'reason' out a possible result. If i can i will elaborate later.

For doing math we 'add' or 'substract' quantities. Although 'technically' it is a concept, this addition and substraction is a 'process' concept in this aspect. Mind is able to do various 'processes' like these and as it grows it learns more about these process and also new processes and also how to do them and then does them to learn or figure out or do something.

As i said in one of my earlier comments, that independent concepts (the concepts not always related to stuff picked up by what why neurons or related to the what and why it is looking at) are done by independent clusters of neurons. I think some groups of neurons within this same cluster 'pick up' processes (also using what, why neurons of the a) algo when it is being explicitly taught those processes), and then do those processes (using what, why neurons of the b) and c) algo). While the non-process concepts are picked by the other neurons of the same cluster using the above means.

And we might do elementary math and other subjects (at its basic) the same way. We learn using the a) algo and also by the above means and do it using the b) algo also by the above means. Multiplication, addition are 'processes' using which we do elementary math the above way.

28) I said above in one of my earliest comments and later comments too, that the higher and highest order 'what' neurons recognize higher 'whats' like concepts. I think they do it by their connection to those independent concept clusters too.These independent clusters understand high concepts (process and non process concepts) and they could be connected to the higher and highest whats. I also said there are multiple kinds of whats (including the higher ones) so one kind of higher whats recognize process concepts when they see them (ofcourse along with the help of how neurons) and another kind recognizes non-process concepts.

This way it also helps us understand ''what'' stuff like 'similarities' and 'differences' are (non-process higher concepts) and spot them.

And since these whats (of the a) algo) are also connected to the what, why, 'how' etc neurons of b) algo as i mentioned, it helps us to plan organise etc using various ''processes''. 

29) There could be a core ''central'' neurons/neuronal cluster of the mind/brain. The 'reasoning' neurons. They take inputs from all the above neurons/clusters/algos to reason out a result or a possibility.

There could also be some memory neurons (which convert the info on it into memory) which are initially a 'blank slate' and some a 'semi-blank slate'. And we 'mentally write' new ideas, reasons, possibilities on these slates of neurons using the above reasoning neurons (which ofcourse also give and get feed back from the neurons of the a) b) aglo as i said). And this info later also gets stored into medium term and long term memory.

30) I want to add some more regarding learning like math. I said >''And we might do elementary math and other subjects (at its basic) the same way. We learn using the a) algo and also by the above means and do it using the b) algo also by the above means. Multiplication, addition are 'processes' using which we do elementary math the above way.''<

So basically we do 'quantitative reasoning' (in this case math) by understanding edit: and figuring out cause and effect using various process (addition, subtraction) and thereby figure out cause and effect and possibilties. We figure out what quantity arises if two or more quantities are added/subtracted.

31) Qualitative reasoning: ( reasoning what qualities arise due to various processes) (like figuring out what is something from a) algo) is also partly done by above means too. We also reason out situations (like what to do b) algo) by under standing cause and effect. We are planning a trip, we know the 'effects' of going in a car vs going in a plane somewhere. edit: I said above in one of my comments this : >>I said above that reasoning in a way is determine what is possible<<. I must add that reasoning in a way at its basic is determining what is ''possible' by understanding cause and effect and understanding and applying various processes.

32) I also said above that each of what, why etc neurons have their corresponding memories, so even memories could become active this way. For eg: if we are trying to recall where we are, our memories related to 'place' become active instead of say what, who based memories. And if we are trying to figure out who somebody is, our 'who' based memories like his or her name become active.

33) Same with b) algo, if we are trying to figure out where to go, our place based 'where' memories become active. And if we are trying to do stuff like plan a trip to go there, our 'how based' memories also become active ('how memory' here being 'process' memory ( memory about how to plan..... as planning is a 'process'.