Vote for Next Philosophical Caricature – CLOSED!

Update: The vote is now closed. We’ll have another one soon, I promise. Right, time to get on with the drawing then…

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I’m gradually adding philosopher caricatures to my Zazzle shop. To gauge popularity, I’m going to start running weekly(ish) voting. Each week will have ten names. Here is this week’s with current totals (with live updates – unless I’m asleep). Vote via Twitter, Email me, or by commenting on this blog.

  1. Popper (3) – Winner!
  2. Young Kant (2)
  3. Hume (2)
  4. Rawls (1)
  5. Nussbaum (1)
  6. Wittgenstein (1)
  7. Quine (1)
  8. Berkeley (0)
  9. Plato (0)
  10. Ayer (0)

Have fun! And no voting twice (I have a poor memory).

Book Review – Plato’s Shadow: A Primer on Plato

by Neel Burton
Acheron Press, 2009; 248 pages

Rating: AUD

Plato may justly be considered the father of the Western philosophical tradition. While he was not the first philosopher, the scope and depth of his thought has ensured that subsequent thinkers have remained at once in his debt, and in his shadow (which is, perhaps, the reason for this book’s title).

However, reading Plato can be daunting. The dialogue form that he favours seems at first conversational and friendly; an accessible way of presenting ideas. But this is deceiving, for – as anyone who has read him will know – the casual opening is often quickly succeeded by intricate and complex debates. Furthermore, what makes these debates difficult to follow is the celebrated ‘Socratic method’, whereby Plato uses the character of his former teacher, Socrates, to interrogate the opinions of others on philosophical topics. So, instead of presenting his views in a direct manner, we are left to follow an often labyrinthine intellectual game, sometimes involving many participants and viewpoints, frequently leading us into dead-ends and unsatisfactory conclusions – and occasionally to no conclusion at all. Of course, much of the time all this is part of Socrates’ plan: Socratic method involves drawing out the false belief by showing that it results in absurdity or self-contradiction. However, there are also those occasions where (as philosophers will readily sympathise) philosophical analysis merely reveals more problems, and therefore remains inconclusive. [1]

As a consequence, in approaching Plato the student or serious reader really needs two things: the first is a clear summary of the various arguments and theories; the second is a narrower but more analytical account of these in the light of subsequent criticism. The second is not so rare, and can of course be addressed in the process of a good lecture course, but the former is – surprisingly – harder to come by. Plato’s Shadow aims to fill this gap, providing clear and readable summaries of twenty seven of the main Platonic dialogues. [2] To do this in around two hundred pages is no mean feat, and is in itself an invaluable achievement. However, the author also provides information on a useful selection of background topics (historical and philosophical), thus helping the reader to situate the dialogues in their appropriate cultural context. In addition, the text is illustrated with diagrams and pictures, which aid understanding at key points (e.g. the geometrical proof in the ‘slave boy’ section of Meno). As a whole, therefore, the book provides a tremendously useful service to anyone studying Plato, or to the more general reader who might otherwise struggle to make headway unaided.

However, this said, the book is not really something that a casual reader would be inclined to seek out, or possess the patience to work through (though it is accessibly written enough for that). It is, rather, better suited to someone who needs to familiarise himself in greater detail with the range and development of Plato’s thought, or more specifically with the form of certain arguments as they originally appear. Also, as already noted, the book is not intended to be an analytical guide to Plato’s philosophy, and those looking for a quick précis of his central ideas, perhaps with accompanying critique, should look elsewhere (or, preferably, combine this book with such a work).

On the negative side, one minor drawback is the lack of an index. The book is so useful and readable that it seems a shame to nitpick, but I did find myself itching to cross reference ideas, themes and characters, and being unable to. For instance, it would be great to be able to quickly identify those specific places where Plato talks about love, or where the argument for knowledge as a form of recollection is first set out, or even the number of dialogues (and which ones) in which Socrates’ friend Crito appears. However, the lack of index is only a minor one, and its presence would only serve to make a very good book an even better one.

In conclusion, Plato’s Shadow will be an essential addition to the library of any serious student of Plato’s philosophy – which, given his continued importance, should be every philosopher! It is readable, clear and accurate, and, as an unpretentious summary and handy reference, definitely fills a hole. As such, I can see it sitting equally well on the shelf of the professional philosopher as on an undergraduate’s reading list. Its ideal use is however probably in support of an extended essay/dissertation (at ‘A’ Level or degree), or – obviously – a course dedicated to Plato, for either of which it would be highly recommended.

Update (10/2/11): The author has contacted me to inform me that the current (second) edition of the work now has indexes on characters, metaphors, themes and myths, thus remedying one of the minor shortfalls of the first edition.

Notes:

(Click numbers to return)

[1] Theaetetus is an example of this, where Socrates and Theaetetus consider three definitions of knowledge, only to ultimately reject all three as unsatisfactory.

[2] Tradition ascribes thirty five works to Plato, but a number of these are disputed. Plato’s Shadow therefore covers the main dialogues, and largely follows consensus on the minor ones. The exceptions would be the exclusion of Laws and Menexenus, and the inclusion of Clitophon (though, obviously, it depends on which list you take to be definitive!).

Nano-Meccano and the Hard Problem of Consciousness

Perhaps the hardest thing in the search for knowledge is to keep an open mind. Whether philosopher or physicist, Sherlock Holmes or Stephen Hawking, the important thing is not to prejudge where the answer to a problem might lie. And this is difficult. We are creatures of habit, and an approach which has proven successful at numerous times in the past will always be favoured over a less tried-and-tested method. Which is of course where the problem lies: it’s difficult to teach an old dog new tricks, especially when the old tricks still continue to pay off.

Science is not perhaps an old dog – not as old as philosophy or religion – but its method has certainly reaped benefits. As I suggested in my previous Phlog, this is perhaps one reason why it has developed certain blind spots – intractable problems which do not seem to respond so readily to scientific method. Chief among these – and of keen interest to philosophers – is the so-called problem of consciousness. In a nutshell, it is this: in a world which science tells us is made up of purely physical objects and interactions, how does it come about that certain beings are conscious?

On the face of it, this looks like a problem that science is well-equipped to solve. It has been long established that the organ of consciousness is the brain, and that mental states would seem to correspond to electrical activity between neurons in various parts of it. Furthermore, close study of the brain would seem to argue against the old assumption that there exists a mind or soul which may potentially exist separately from its physical host. Specific damage to areas of the brain will affect consciousness in various ways – not only whether someone is conscious or not, but also how they are aware, their ability to function in certain ways, perform certain tasks, and so on. In short, the case for the physical brain’s central role in thought and awareness seems beyonddoubt.

So why is there still a problem? Firstly, whilst neuroscience and psychology seem to be doggedly on the trail of how this or that function is performed, what area of the brain is involved in certain mental states, and so on, it is – I am sure they will admit – still a pretty fuzzy picture. As to the precise correlation between the organisation and activity of neurons and specific mental contents, there is still a huge gap. And there are some perplexing findings: for instance, a recent study concluded that a single neuron may be responsible for holding your memory of a person or event (e.g. the actress Halle Berry – see here), which is not something scientists predicted. But such perplexities aside, it seems fairly undeniable that such an approach will at some stage provide us with a good working model of how the brain produces consciousness – a complex model, with some mind-bending findings and a splash of quantum weirdness, perhaps, but a model nonetheless. However, when this day comes, the real problem of consciousness – what philosophers and neuroscientists call the ‘hard problem’ – will remain largely untouched. But why?

It sounds belittling to imply that the sort of scientific endeavour described above is in some way ‘easy’, but this is not what’s meant. When philosophers, psychologists and neuroscientists distinguish between the ‘easy’ and ‘hard’ problems of consciousness, they are merely pointing out that, as regards what consciousness really is, and how it comes to be there, we simply don’t have a clue.

Not all philosophers would agree with the above characterisation. Some, in fact, want to argue that there is no genuinely ‘hard’ problem, just a series of confusions and a large amount of wilful mystification. As should be by now obvious, I don’t agree with them, but rather side with other philosophers who consider that – for various reasons – the sort of approach which seems dominant in contemporary science will never fully account for consciousness (in the hardest sense). I’ll try to explain why.

Imagine that someone were to make an exact replica of you using Meccano, or some other handy material. For argument’s sake, let’s say this is nano Mecanno, which is so small that we can build lifelike organisms out of it so that people can’t tell the difference between organic and inorganic humans – this will be ringing bells for Battlestar Galactica fans! Now, the question is: Is the Mecanno ‘you’ conscious? It is a machine, driven by fiendishly advanced nano-Mecanno technology, but at the end of the day it is still an inorganic machine. So, you may be tempted to say “No, it’s not conscious, because machines aren’t alive, and only living things can be conscious”. Fair enough. Your toaster is quite complex and functional, but no one would dream of saying that your toaster is alive. But what if someone were to point out that living bodies are really no more than organic machines? At some level, we are all just cogs and levers, aren’t we? We can make this picture less Victorian if we spice it up with quantum thingies zinging all over the shop, appearing in two places at once, etc, and ask ourselves the question again: Aren’t we just biological machines? It seems more tempting now, doesn’t it? If life is just an arrangement of very small parts in a certain formation and interaction, then what is there to stop us one day building life from scratch using other basic materials – silicon-based life-forms as opposed to carbon-based, perhaps? (Obviously, I’m out of my depth here, and relying almost wholly on Star Trek: The Next Generation). Even if the dream of Mecanno or Silicon Man is ultimately unfeasible, it is nonetheless an interesting thought experiment, for it tests our notions of what life and consciousness ultimately are. For the sort of philosophers who reject the hard problem, Mecanno man is not only possible, it is more or less a true picture of the world. There is no special ‘stuff’ which makes us conscious, but only the specific arrangement of physical parts. But for myself, and other philosophers, a fully conscious Mecanno man is impossible. We would simply create a very lifelike robot, but which ultimately is not conscious in the way that humans are. It is a simulacrum or life-like copy of consciousness, not consciousness itself.

So, what makes consciousness special? It is easy here to fall into a trap. It’s like the old schoolboy trick question: “Which hand do you wipe your arse with?” Either you’re a materialist, or you’re a dualist; either consciousness is just an arrangement of physical parts, or else you’re a woolly headed loon – there is no third option. In arguing that consciousness is not just an arrangement of physical parts, it seems that we must be admitting that it is non-physical or immaterial. This trap is a direct consequence of what philosopher Gilbert Ryle famously called, “the dogma of the ghost in the machine”, a view springing from the dualism of French philosopher René Descartes, which saw mind and body as two separate substances; the body is just a machine, whilst the true mind or essential self is an immaterial ‘ghost’. The problems of dualism are well known: If mind and body are different types of substance, how do they interact? If mind is ‘immaterial’, where is it? How can it exist ‘inside’ a body? But rejecting dualism need not lead us to accept materialism. Rejecting the possibility of Mecanno man is not the same as supposing that we are, in truth, ghostly soul-like entities that can all crowd onto a pinhead. Ideally, we would like a third option – one which involves toilet paper, as it were; which rejects the idea that we are ‘only matter’ without also creating ghosts and other ‘immaterial entities’. And we can do this – it’s just tricky. To do it, we must first say that the standard scientific method does not capture all that consciousness is. It is a method, and not a court of appeal as regards the right to existence. Scientific method might explain how brain states produce or are equivalent to certain mental states, or explain the role of neurons in certain types of brain activity, but such a picture is always from the outside not the inside; the objective, not the subjective (and ‘subjective’ here needn’t mean ‘unsubstantiated’ or ‘deluded’). In short, a certain type of scientific understanding does not explain ‘what it is like’ to be you.

This last phrase goes back to Thomas Nagel, who first introduced it in his famous paper, ‘What is it like to be a bat?’ Nagel argued that a successful theory of consciousness must explain not only the physical role of the brain, but how this gives rise to subjective experience, or what has come to be termed qualia. Examples of qualia include the specific taste of something, the way something looks or feels, the quality that specific sensations of pain or pleasure have. Mecanno man might taste some soup and say, “That’s too salty”, but whilst he might be right – his nano-Mecanno taste sensor technology could identify the presence of too much salt in the soup – there would be no taste of ‘saltiness’ that he was experiencing. When we talk of the inability of words to capture an experience, it is often this qualitative aspect that we are referring to. The only way we can really know what another’s experience is like is to try to replicate their experience – to taste the soup ourselves – and even then we can’t completely be sure (it might taste different to you). But it is not so much that these experiences are private or ineffable that makes them special, but rather the very fact that we have them – that we are conscious at all. If there were a world of Mecanno men, without consciousness – for whom there would be nothing it is like to have any experience – then that world would be lacking something. The very qualities that it would be lacking – the self-conscious, subjective experience of being aware and sentient – are the very things that even a successful solution to the ‘easy’ problem would leave unexplained. How does matter give rise to mind? Somehow – we assume – it switches the light on, but we don’t know how, or how such a thing fits into our understanding of the physical universe. It’s a real stumper!

But if consciousness is not a special ‘something’, and we are not ghosts in the machine, but we also do not want to be simply machines, where does that leave us? Personally, I think the problem lies with scientism, or the idea that the scientific method, and its accompanying materialist assumptions, is the only one necessary for a full understanding of the world. The problem is, however, that consciousness is not a ‘thing’ – not in the sense that we can put our finger on it or isolate it for study in the same way that we can with most physical phenomena. As such, it is slippery. We can, of course, gain a partial understanding of it through traditional scientific methods, but, unless scientism can be dethroned or adapted, or we can in some way revise our fundamental concepts so as to accommodate qualia, we will always be left with an aspect of consciousness that is mysterious and beyond reach – even though it is the most obvious thing in the world, and the closest thing to you at this very moment. Infuriating, isn’t it?

Why Failure Isn’t Always Good Enough

There was recently a very interesting piece in The Guardian (“We must learn to love uncertainty and failure, say leading thinkers”, by Alok Jha, Saturday 15th Jan, 2011). In it, the ‘planet’s biggest brains’ responded to Edge magazine’s yearly question, which for 2011 was: “What scientific concept would improve everybody’s cognitive toolkit?” In other words, what sexy new idea is going to help us better understand the world? Perhaps surprisingly, a common theme from respondents was ‘failure’, or rather, the need to abandon the idea that science gives us certainty.

Of course, this is not a new idea, but rather reflects a common public misconception. People think that scientists arrive at certain knowledge of reality, and seem to consider ‘scientifically proven’ as the ultimate standard of truth. But, as Carlo Rovelli, a physicist at the University of Aix-Marseille, was keen to point out, this is in fact a contradiction in terms, an oxymoron. Science does not prove things, in any absolute sense, but rather tests hypotheses. As Neil Gershenfeld of the Massachusetts Institute of Technology put it: “The most common misunderstanding about science is that scientists seek and find truth. They don’t – they make and test models.” These ‘models of reality’ are therefore provisional, for any new raw data can in theory disprove them.

Whilst it may long have been used as a rule of thumb, the explicit statement of this approach goes back at least to the work of philosopher Karl Popper and his doctrine of ‘falsifiability’. The majority of scientific knowledge comes from the process of induction: by gathering numerous examples (data), I can form a general explanation which fits the evidence. All men are mortal because, as far as we know, there is no way of reversing biological cell death, and all observed human cells seem to be subject to it. One day, perhaps, someone will find a way, but until then, it remains an inductive truth. The ‘problem of induction’ is therefore that, no matter how much the data fits our hypothesis, there is always the possibility that it may one day be overturned by new data (all men are therefore provisionally mortal). Popper’s answer to this was simply to point out that science was not interested in certainty, but in scientifically testing and rejecting various working hypotheses or models of reality. In doing so, whilst our understanding of reality is never certain, it gets closer with each ‘failure’.

This is sound general scientific method, and I do not wish to undervalue it. Without it, we would not have anywhere near the level of medical or technological knowledge that we possess. We should therefore all be grateful. However, philosophically, this view is problematic. Firstly, as philosopher of science Thomas Kuhn pointed out, Popper’s vision of the scientist as the conscientious falsifier of hypotheses is not borne out by history. Often, new conflicting data do not result in the complete abandonment of a theory, but an adaptation of it – sometimes even the rejection of the new data altogether (as ‘experimental anomaly’, or equipment malfunction, or misobservation). Most science, then, is what Kuhn calls ‘normal science’: tweaking theories to fit evidence, or massaging evidence to fit theories. Only in exceptional periods does ‘revolutionary science’ take place, where the underpinning assumptions – the ‘world picture’ – is itself abandoned. Newtonian mechanics gives way to Einsteinian relativity, and normal science can begin again.

Kuhn is sometimes seen as a radical, but he is not really. He is merely pointing out that underlying assumptions are very rarely directly addressed, and that fundamental shifts are not only quite rare, but often driven by extra-scientific concerns – such as power struggles in society (the battle to switch from Ptolemaic to Copernican cosmology reflecting that between the Catholic Church and opposing secular interests). Kuhn’s points may therefore be taken as merely suggesting that scientific progress is not just about the straight-forward progress of rational knowledge. Many scientists would accept this: a pet theory can have ties to non-scientific and non-rational interests, and it’s difficult, perhaps impossible, to divorce the two.

However, there is a more fundamental problem with Popper’s approach, and with the general notion of science as suggested by those quoted in the Guardian article. We revise our working models of reality in relation to new or raw data, as it’s often called. But what is ‘raw’ about it? Scientists often talk of scientific models ‘fitting the facts’, which, in philosophical terms, assumes a correspondence theory of truth. My theory is true, because it describes or corresponds to the facts. But, you may say, scientists reject the idea that they search for ‘the truth’. Very well: my theory is false, because it doesn’t fit the facts; therefore I reject it and formulate a new one. All theories are expendable. But there is an assumption here – it is so subtle as to go almost unnoticed, but it is there: there is such a thing as ‘the facts’ or ‘raw data’ which are independent of our ‘model of reality’. We can set out the problem in these terms:

1. Science attempts to describe (model) reality.
2. Such models are always provisional, but can be revised according to new data (facts).
3. But what determines the form that the facts or raw data take?
4. Answer: Our model of reality does.

This is a basic and simplified form of the argument, but you get the picture: it would seem that in order to test certain aspects of our working model of reality, we must take other aspects for granted. This does seem to lead to a real problem for scientific method – doesn’t it?

Let me try to illustrate this. Take ghosts. A scientist might say that ghosts do not exist, because if they did they would show up on scientific equipment and in experiments – and they do not (let’s, for argument’s sake, say that this is true). Now, there is a fundamental assumption here: if ghosts exist, they will show up in experimental conditions and be detectable using scientific equipment. But this is an assumption that experiments do not – and possibly cannot – test. Failure to find a ghost does not prove that ghosts don’t exist, just as failure to find Nessie doesn’t affect the Loch Ness tourist trade.

I’m not necessarily arguing for the existence of ghosts or plesiosuars, but merely pointing out that the scientific method is not a neutral way of testing theories. Built into any theory are basic assumptions that the theory requires in order to make sense in the first place. But “the map is not the territory”, as Polish philosopher and scientist Alfred Korzybski once put it; our models of reality cannot be used to determine the fundamental nature of that reality – without, we might add, already assuming certain things about it (such as, for instance, that it is material and physical).

But this is not an argument merely against materialism, but against assumptions in general (of which materialism is one). We could pick on others, such as that cause and effect relationships are fixed and regular. This has perhaps been undermined by certain findings in quantum physics, but it is still a central tenet of scientific thinking – and so it should be, for it has served us well. We must of course hold on to such assumptions, but we should also be aware that they are just that. In philosophical terms, we can distinguish between epistemology (how we know things, how we guarantee knowledge, etc.) and ontology (what exists). Scientific method – ‘failure’ – may be an important and useful tool in our search for knowledge and understanding, but, as regards the question of deciding what reality ultimately is (its ontology), it is not enough.