nm0140: the er handout i've got a new handout on your handout today last week i gave a a sort of supplementary handout for chapters two and three if you didn't get that then copies of those handouts are available in the Philosophy department office okay that's just to explain what's going on what i've got there are the new handouts which i'll give out in just a minute or two secondly just before we start apologies for the fact that as you can probably hear i'm suffering at the moment and er it's distorting my voice in a variety of ways and also er i'm not feeling too good so i hope i survive this lecture can you is the is er microphone on ss: no nm0140: no i thought i thought i couldn't hear anything there it the red light is on here er well there we are [laughter] well typical isn't it on a day when i'm i'm losing my voice i haven't even got the microphone er well got this flight console here maybe i can do something and see what happens sf0141: yeah sm0142: nm0140: if i'm bold if i stand in this one place then it's going to be all right sf0143: yes nm0140: but as you already as you know i'm could actually even just like to wander around all the time i'm going to see if i can actually get the the remote mike to work sf0144: nm0140: oh [laughter] i'll just check whether this has worked i've got a these mikes to see if the remote mike is working so right is the is it working now ss: no nm0140: no okay no one more try shh no no okay i'm going to abandon it and just speak loudly okay what we're going to do in the er the rest of these lectures today tomorrow and next week is to look at the chapters three four five and six we're going to spend one lecture on each of those chapters as i said at the very beginning we spent relatively more time on the earlier chapters because they contained a lot of er material in them and a lot of the kind of basis of what s-, Searle er Searle's arguments for the later chapters are going to be what i'm going to do for these chapters three four five and six is to distribute to you notes quite specific notes on the content of those chapters and then in the lectures what i want to do is to try and get over to you what the point of the chapter is so there's going to be kind of more detailed summation in the handouts than there actually is er in the lecture so you'll need the handouts to fill out some of the s-, points the handouts form a kind of commentary on the text er whereas the lectures are going to try and get what the main point of it all is of each of those chapters okay so what i'm going to do now is to hand out er the notes on chapter three and tomorrow i'll hand out notes on chapter four next Wednesday on chapter five next Thursday on chapter six again just to repeat as always if there are previous handouts that you need then you can obtain those from the Philosophy department office okay you'll recall that Searle says that there are two claims which are typical of strong A-I strong artificial intelligence one of those claims is that computers put very very briefly that computers can think or that put it slightly less briefly a suitably programmed digital computer may at some time at in the future be said to be able to think there are of course people in A-I who think that the very strongest claim is true that computers already can think an example of such a person is the Professor of Cybernetics at this university Kevin Warwick who holds rather a controversial opinion and one of those is that already you can say that computers can think er the other claim second claim okay first claim computers can think the second claim is that a digital computer provides the suitable model for thinking about the human brain or put it more briefly the human brain is like a digital computer okay that's the second claim that second claim that a human brain is like a digital computer is the claim which is discussed in chapter three on cognitive science okay Searle starts off by observing that we seem to have available to us two different ways of being able to explain human behaviour the first way of explaining human behaviour was the sort of way of explaining human behaviour that i was talking about last week when i said that as far as human beings are concerned we can explain human behaviour in terms of the purposes the ambitions the drives the wishes that people have those provide a sort of general background which makes it sensible to say er why somebody is doing something why is somebody doing something somebody somebody who's doing something absolutely bizarre you know they're standing on one leg like this and you see them and say why are they doing that and you say oh well one thing might you know they're being a street performer of some sort okay so that will be one way of explaining human behaviour now there's another way of explaining human behaviour which might be open to us and that is a scientific explanation of human behaviour and in particular as it's a scientific explanation of human behaviour i mean science can explain all sorts of things er it can explain chemical reactions it can explain er you know the er way one billiard ball hits another billiard ball with mechanics and physics and so on but if we're explaining human behaviour there might be a sort of scientific explanation which addresses itself to explaining human behaviour why is somebody doing that well we produce an explanation in terms of science and that might be in terms of for example neurophysiology in terms of what's going on in a person's brain well the first sort of explanation by and large is concerned with explaining what's in the person's mind what their motive what their intention what their desires wishes purposes are the second sort of explanation in terms of what's going on in their brain in the in the stuff in here in terms of their neurophysiology that first common thing for psychology the sort of explanation that we deploy all the time in everyday life in talking about other people is often talked about in the literature the literature of er psychology the literature of philosophy the literature of popular science is often referred to as folk psychology and what all the folk psychology come across it says all that folk psychology means is simply common sense approach okay now there's a problem Searle says i've taken his statement of the problem from page twenty- two of the book the problem is there's a sort of gap between these two sorts of explanation he says the first of these sorts of explanation works well enough in practice we explain other people's behaviour in terms of their desires their motivations their wishes their intentions and that seems to work in a certain sort of way but it isn't scientific and the second sort of explanation is certainly scientific but we've no idea how to make it work in practice in other words if you do see somebody standing on a leg like this and you say why are they doing that then it's actually very very difficult to produce a neuroph-, neurophysiological explanation which satisfactorily explains why they're doing that and Searle says we've got no idea how to bring together these two sorts of explanations integrate them we've no idea how to integrate or unify common sense explanations with neuroscientific ones he says just to con-, continue that quotation at the bottom of the slide since we've no idea how to integrate or unify common sense explanations with the explanations of science pure scientific ones we are tempted to think that there's a gap between the mind and the brain now chapter three is concerned with attempts that people have made to fill this gap the gap between common sense explanations and scientific explanations okay this appearance of a gap has led philosophers and others and psychologists and a whole series of er o-, other sorts of scientists into thinking that the gap needs filling and that what we need when you fill a gap you use an intermediate level explanation you fill the gap by producing another level of explanation intermediate between common sense psychology and neuroscience an explanation which will explain how common sense psychological phenomena derive from goings on in the central nervous system okay and he he says in a another place not in Minds Brains and Science but in a review he wrote he talked about filling this gap and he says couldn't there be a third possibility between common sense psychology and neuroscience a science of human beings that was not introspective common sense psychology but was not neurophysiology either this has been the great dream of the human sciences in the twentieth century okay that's the background now Searle says that in the twentieth century there's been a whole series of attempts to try and fill the gap and he says look all of these attempts have been failures none of them have satisfactorily managed to fill the gap and he surveys what some of these attempts have been and we can just look briefly at some of those previous gap- filling efforts for example behaviourism behaviourism a highly influential psychological theory particularly just post-Second World War er surrounding in particular one figure B F Skinner and Skinner's behaviourist psychology was extremely influential as a way of trying to explain human behaviour then there was Gagne's theory again very influential actually in the fifties and sixties er cybernetics became extremely influential from about the fifties and sixties onwards through the works of people like Stafford Beer and others information theory highly influential particularly as computer science developed structuralism became extremely influential through work in in linguistics and more recently we've seen sociobiology and a part of sociobiology evolutionary biology the work of people like Richard Dawkins say in particular The Selfish Gene and other books like that attempts to try and produce explanations of human behaviour which in some way or other fill the gap between the everyday explanations and the more as it were basic level biochemical neurophysiological explanations Searle claims that all of these attempts have failed which of course is a bold a bold claim since although some of them seem to have withered and died many of them still live in one form or another and there are plenty of people who still stake their reputation in one way or another on some of these theories now i er observe what is the on the rest of this slide is something which isn't in er [cough] it isn't in Searle's chapter but i'm just observing something about these sorts of modes of explanation very often when people try to produce large scale explanations of human behaviour large scale theories of which all of these are examples which large scale explanations of human behaviour are often based on some sort of reductionist idea a reductionist view of human behaviour and what i mean by a reductionist view of human behaviour is trying to explain all human behaviour by means of a single explanation a single motive a single explanation and i'll ju-, just two examples so that you have in mind the sort of thing that i'm getting at here Thomas Hobbes the extremely influential English moral and political philosopher who wrote the great book The Leviathan most famous i suppose for saying that if there were no human society then human life would be solitary poor nasty brutish and short his most famous sentence his view was that all human behaviour every act of every human being was selfish okay okay the whole explanation of human behaviour was that it was selfish every single human act of every single human being was selfish and so you've got one explanation for all human behaviour okay another example would be a slightly simplified version of early Freud not necessarily later Freud but early Freud where we might say that all human action is motivated by sexual desire later Freud brought in a number of other possible principles as well but we might produce that as a kind of slightly caricatured version of what Freud said now such explanations have a greater appeal because they are so there are two reasons why they have great appeal one is that they provide an enormously strict explanation for everything one motives great simplicity of explanation and secondly they're very appealing because they kind of if we might put it deflate the pompous you know to say that all human actions are selfish is in one way appealing because it enables us to think in some way or other that even the most saintly person is motivated by the same base motivation as we are and deflates the pompous or in the case of Freud it's attractive because you know even the most puritanical uptight person is being motivated by sexual desire and that kind of tactic is a you know kind of deflates them in some way or other so there's a great appeal because of the simplicity of explanation but at the same time of course if you hold such a theory a reductionist view of human behaviour in which all human behaviour is explained by just one motive you've got work to do because you've got to explain how it is that the most saintly action is really selfish or that the most puritanical person is really motivated by sexual desire you've got to explain away all the apparent counter-examples to your theory and so what such reductionist accounts will do will be to produce an enormously elaborate structure of human behaviour an enormously elaborate account in which there will be for example in Freud repression the ego the id the conscious mind the unconscious mind drives and so on a whole enormous kind of hydraulic scheme representing his world in order to be to be able to explain why it is that every single action er is motivated by sexual desire so combined with great simplicity of explanation is a hugely elaborate structure of human behaviour but that's appealing too because although the simplicity of explanation appeals to us we also want to think that human beings are mysterious and deep and complicated er the complicated explanation which is necessary for Hobbes or Freud to produce again appeals to us so these reductionist accounts appeal for two quite contradictory reasons one is they appeal because of the simplicity of explanation and the other is they appeal because of the complexity of theory which goes with it so it provides us with two things both of which you want to like simplicity and complexity okay th-, okay i'm sorry that the quota-, the what i've said at the bottom there is just cut off a bit what i what i was saying there is to a-, to attempt to produce a simple explanation of human behaviour will actually involve a highly elaborate theory for which there will be frequently no empirical evidence er to explain apparent counter-examples in other words the rest of that sentence was just what i've been saying to you okay now previous attempts having failed there's a new attempt in town Searle says and a new attempt to fill the gap is cognitivism and it's cognitivism which is then Searle's main target in this chapter so what is cognitivism well cognitivism and cognitive science are terms which have been used in the last thirty years or so to cover a wide variety of different areas and disciplines in philosophy of mind in linguistics in psychology in computer science cybernetics and in strong artificial intelligence and so on these are the term cognitivism cognitive science those terms have been used quite widely so what does Searle mean by cognitivism basically the view is as i said at the beginning of the lecture the view of cognitivism that he's concerned with is that the mind ought to be thought of on the model of a computer that's the theory which he thinks is the essence of cognitivism and which is his target of attack because that view like the previous gap-filling theories is one which Searle thinks is wrong so first important point is that Searle is going to be attacking cognitivism so in red there is a summary from page forty-three of the book of what Searle thinks cognitivism is but remember this is a theory which he's going to be attacking so what it says in red is a quotation from Searle but it's the theory which is his target which he's going to attack okay please remember that this is the direct quotation from Searle these are not thoughts to be attributed to him these are thoughts he's going to attack okay so what he's going to attack is the idea that thinking is processing information but information processing is just symbol manipulation remember in the Chinese room example Searle wants to draw a very strong distinction between mere symbol manipulation which is what the computer does although man in the Chinese room who doesn't understand Chinese does from real thinking okay so again thinking is processing information but information processing is just symbol manipulation computers do symbol manipu-, manipulation so the best way to study thinking or cognition is to study computational symbol manipulation programs symbol manipulating programs whether they're in computers or in the brains on this view the view he's attacking the task of cognitive science is to characterize the brain not at the level of nerve cells the neurophysiological level nor at the level of conscious mental states the common sense psychology level but rather at the level of its functioning a sort of information processing system and that's where the gap gets filled it's alleged Searle disagrees with that doesn't mean that he does agree with that okay so the cognitivist's big idea is that we can fill the gap between the mind and the brain by focusing on an intermediate level the level of information processing nm0140: i was just searching for a actually was round here for a minute or two i was just searching for a a after slide which i couldn't find what i wanted to say was this that throughout history human beings have tried to understand what goes on in the human brain in the mind by means of various different models or analogies i mean Searle discusses this is in the chapter and it's interesting to look at what some of those previous models or analogies have been er for instance the the Greeks compared the human mind to a catapult which sounds to the class to be rather odd it's interesting that that in different societies at different times the model which has been used to try and explain the workings of the human mind or human brain has often been to do with the lastest technology available and of course the catapults had formed a part of military technology for the Greeks later Leibniz the great German philosopher er whom Searle quotes from talks about a bit later in the chapter as well saw the human mind as being like a mill you know a flour mill grinding separating the wheat from the chaff making flour and again that's a kind of technological analogy model of the human mind later in the er nineteenth century er people compared this compared the human mind to the telegraph system remember that the the telegraph system was developed in the early to mid- nineteenth century it's quite an early piece a quite remarkable piece of technology er the telegraph which predated the telephone enabled people to communicate with each other over long distances got the first telegraph cable between England and America was for example the first telephone cable and er do any of you know the book about the telegraph system which calls it the Victorian internet system no any of you read that book it's a it's a really extraordinary book published about two or three years ago about the early development of the of the telegraph and there are extraordinary comparisons between the mid- nineteenth century telegraph system and the Internet people had their own private accounts people communicated with each other privately over the telegraph people used various sorts of abbreviation and code and there were worries about you know pornography on the telegraph [laughter] things like that extraordinary set of er comparisons between the you know late twentieth century internet and the mid- nineteenth century telegraph system actually you might just see that book in the science areas of libraries or book shops you might look at it can't remember the exact title but it's i think in the title there's some reference to the Victorian internet system okay er then later er for instance in my childhood a very common analogy for the human brain was the telephone system and that's to say the old-fashioned telephone system not a modern telephone system but the old-fashioned telephone system where you have an operator sitting you know at a board you know saying oh hello Mrs Baker you want to be put through to Mrs Jones okay and that kind of idea you know pulling out plugs and then pulling in putting in plugs was used for a long time as an analogy for what goes on in the brain for Freud as i already partly indicated as a kind of analogy to what goes on in the brain as a kind of hydraulic system Freud in a way thought of the human brain er brain as being a vast system of pipes that were connected together through which fluids pass and if you push the fluid from one part to a-, another it would come to erupt somewhere else and er he also Freud sometimes used a kind of electromagnetic er analogy for the human brain and now there's the idea of the digital computer as the model for the human brain so what i'm pointing out is there's been a constant series of attempts to try to explain what goes on in the human brain by means of invoking the lastest bit of technology now there are all sorts of reasons why people have found cognitivism attractive and Searle lists these in the chapter and in the notes that i've handed out i've gone through er some of the reasons why cognitivism might be thought to be attractive i'm not going to go through those now you can read those in the book itself you can read the sort of summary the comment that i've made about those reasons why con-, cognitivism might be thought attractive er in the handout there are various sorts of pieces of psychological evidence which might be thought to support the idea that the human brain is information processing what i want to do is to as it were get to the very nub of the matter and to consider the sort of claim that cognitivism makes and the reason why Searle thinks it to be wrong okay here's one example i saw a programme on er television a few years ago now er it was a a science in one of a science series called Big Science on B-B-C-two in the early evening it was one of those one of those television programmes where they thought it necessary in order to present science to have a kind of mode of presentation which i found highly irritating so you had for example you know the face of somebody on the screen speaking and behind them you had a whole series of kind of flashing lights and moving er you know amoeba-like things and streaming across underneath there was you know bits of text and you know there's all kind of somehow or other the producers it seemed to me there was something fundamentally wrong here the producers were thinking you know at some level they were thinking look science is so boring we're going to have to make this attractive by producing lots of big visual effects and that seemed to be a terribly you know patronizing view anyway er sorry about that in Big Science there was an Oxford scientist an Oxford psychologist who had just discovered something very important he thought he'd discovered how it was that cricketers managed to catch cricket balls okay he'd done a lot of research on this and er he had filmed a lot of cricketers catching cricket balls and he'd used in particular Mark Ramprakash the England cricketer in the news this week because he's just transferred from Middlesex to Surrey and er what this scientist said i've got the yeah okay nineteen-ninety-four he says this in order to catch a ball your mind your subconscious mind calculates the second order differential equation of the sort A-level students struggle with i think he's got an optimistic view of A-level students actually but still [laughter] er a sort of s-, seco-, second order differential equation sort of thing that undergraduate maths students struggle with anyway er it calculates that the second differential of the tangent of the angle of gaze is zero so in other words what you do you know the ball's in the air and you're running to catch it and your mind is working out the second order differential eca-, equation so that the you know the [laughter] tangent of the angle of gaze is zero and then when it's successfully worked out that you know it tells you stand there [whoop] like that it shows Dr McLeod said how powerful the subconscious mind is and Mark Ramprakash on the programme was asked [laughter] how do you how do you catch the ball and he said i just try to catch it [laughter] okay now look [laughter] this a-, in this quotation in this programme i think we have revealed something about the cognitive cognitive science approach but something why it seems weird because the sort of claim that Dr McLeod is making is just the sort of claim cognitivism is making but what our brains do is complicated information processing okay and so when we catch a ball we've gone through a complicated process of information processing now what's you might say well what's wrong with that i mean who's to say that our unconscious mind doesn't up the process now Searle admits in the chapter that he doesn't have a knock-down argument against cognitivism he doesn't have an absolutely decisive argument against cognitive cognitivism as he thinks he does against the first claim of A- I he Searle thinks the Chinese room argument disposes of the first claim but he admits that he hasn't got such a knock-down argument for this and he wants to show us how implausible such a claim is now i think actually just by showing that sort of claim to you some of you already felt that that was just kind of implausible but let me emphasize let me produce a se-, a second example and this example is taken from Searle but not i think from the chapter but from er Searle on many other occasions for example Searle when he was standing right here er four-and-a-half years ago Searle came to a conference at namex University and he gave a lecture just where i'm giving the lecture now that he produced this example which i'm now going to produce for you he said he had a dog and a dog called Ludwig and he says that the dog loves to as many dogs do loves to fetch things catch things bring them to him and so on and a game that he often plays with Ludwig is that Searle will throw a tennis ball against a wall and then Ludwig will go on and catch the tennis ball in its mouth okay now think what Ludwig has to do think what Ludwig has to do first of all Searle throws the tennis ball against the wall so in order for Ludwig to calculate where to go to catch the ball first of all Ludwig must know the angle of incidence is equal to the angle of reflection okay going sort of if Searle throws the ball like that then the ball's going to go up like that then the dog has got to calculate what the initial velocity of Searle throwing the ball is and then what the effect of friction of the of air will do and the effect of gravity on decreasing the speed of the tennis ball and then what the effect of the actual surface of the wall will be the coefficient of friction of the wall and various other factors which may slow down the rate of the ball okay and then you take into account wind speed and so on and that's not going to be it because then Ludwig has got to calculate what amount of energy to release in its legs that'll push it you know to it's got to calculate all of these things it's a miracle Ludwig ever gets that but he does every time okay now one thing that Dr McLeod didn't say but i heard other people talking about cognitivism say one thing he didn't say was h-, he didn't say it shows how powerful the human mind is he just said subconscious mind if he had said human mind then the Ludwig example be would be even more pertinent because of course it isn't just Mark Ramprakash that manages to catch a ball dogs do it too but anyway is it plausible to suppose that the dog actually calculates all of those things what if there were another type of explanation which as it were disposes of the need for giving such an explanation i mean we don't have to disagree with Dr McLeod's physics it may very well be that in order to calculate where a ball is going to land you're going to calculate it [sniff] it may be true i'm i take it from him that it is true that the second differential of the angle of gaze of the tangent of the angle of gaze has to be zero i take that as being true if you're going to calculate it but isn't there another way isn't it just that human beings like dogs learn how to do things they learn how to do things by trial and error dogs and human beings are not very good at catching balls to begin with you know watch a three year old trying to catch a ball you know misses it it's fine we gradually get better at it now is that because we're getting more sophisticated at differential equations or is it because somehow or other our body is learning how to do a particular task because we have to come back to a point that i've made so many times now in the last few lectures we have bodies of a particular sort bodies which are adapted to perform particular sorts of tasks those tasks that we've described in mathematical terms but that doesn't mean that we have to perform that mathematics in order for our body to perform okay any more than you have to suppose that even something quite inanimate has to perform a particular task to behave as it does the cricket ball the cricket ball you throw the cricket ball in the air how does the cricket ball know where to land does it have to calculate the second order differential of blah blah blah blah blah no it is just pe-, it's just as it were obeying laws of physics doesn't have to calculate and our bodies too behave in certain ways which can be explained in certain sorts of mathematical terms but that isn't to say that those are the causes of the way in which they behave okay an example from the chapter is walking okay here i am walking around and every now and then getting slightly unbalanced but i manage to correct myself how do i do that okay well we know that there's a way in which human beings manage to maintain their balance we know in some sort of rough degree of detail or relatively good detail depending on how much we know about physiology and unfortunately i know rather little about physiolo-, physiology but i know something like this that there are these semicircular canals in the ear in which there is some sort of fluid and that as we you know tip our head around the place then different levels of the fluid in the inner ear will enable them to keep ourselves upright and there are people who have various sorts of er malfunction of those semicircular canals find it very difficult to maintain their balance as often happens in old people Searle discusses that particular example and the point that he's making is [cough] that in behaving as we do in a lot of the tasks that we perform we are not following rules and therefore it's wrong to suppose that there's some sorts of unconscious calculation going on when i when i walk along and maintain my balance i'm not following a rule although there are in me as it were scientific laws that apply to my behaviour how does the brain manage to enable me to keep my balance Searle says the brain just does it he says there's no particular answer for how does the brain perform a task it just does it in particular he says there's no answer like this this isn't the way it goes so the bit in red again is Searle saying what doesn't happen okay the brain does it by assuming that gravity is constant assessing how the internal fluids are distributed and calculating the angle at which the head is inclined to the body then calculating that the body needs to lean over to the right to the tune of five degrees in order to remain upright no such calculation takes place it simply is the case that as i start to lean over then i adjust myself to go back now although many people would agree that the Mark Ramprakash Dr McLeod explanation the Dr McLeod explanation of catching a cricket ball seemed implausible and it seemed implausible to suggest that a cricketer does go through that calculation as to even unconsciously but although many people would agree that it does seem implausible to suggest that Searle's dog Ludwig goes through a massive series of physical and mathematical calculations even if unconsciously and although many people would agree that it does seem implausible to say that the brain goes through a series of calculations like that nevertheless a number of people find it kind of er unsatisfactory when Searle says that the brain just does it that's a phrase that he uses quite a lot i've heard him use it again and again how is it that i catch a cricket ball well Mark Ramprakash i'm sure in complete ignorance of Searle did answer i just try and catch it and it so happens and w-, i don't i mean s-, the point here i don't think Searle i don't think Searle is saying that there's nothing to be explained in here i think what he's what he's pointing out and if if you look in the chapter it's quite clear what he's pointing out is that because we are the sorts of creatures that we are because we've got the sorts of bodies that we have because those bodies have evolved in a certain sort of way they are particularly good at performing certain sorts of tasks tasks they learn to perform over a period of time children learn to do things and they learn to do things by very simple processes of trial and error and all of that all of that provides a perfectly satisfactory explanation of how they manage to do it okay there are other ways in which their behaviour could be described we can talk about the physics of catching a cricket ball and that's a perfectly gi-, legitimate area despite it but it doesn't mean that we have to do the physics to catch the cricket ball any more than the stars have to perform calculations to stay where there are in the sky or planets to perform calculations to move around the sun okay that's the point of it chapter four tomorrow