Part of the sequence: Rationality and Philosophy
Hitherto the people attracted to philosophy have been mostly those who loved the big generalizations, which were all wrong, so that few people with exact minds have taken up the subject.
Bertrand Russell
I've complained before that philosophy is a diseased discipline which spends far too much of its time debating definitions, ignoring relevant scientific results, and endlessly re-interpreting old dead guys who didn't know the slightest bit of 20th century science. Is that still the case?
You bet. There's some good philosophy out there, but much of it is bad enough to make CMU philosopher Clark Glymour suggest that on tight university budgets, philosophy departments could be defunded unless their work is useful to (cited by) scientists and engineers — just as his own work on causal Bayes nets is now widely used in artificial intelligence and other fields.
How did philosophy get this way? Russell's hypothesis is not too shabby. Check the syllabi of the undergraduate "intro to philosophy" classes at the world's top 5 U.S. philosophy departments — NYU, Rutgers, Princeton, Michigan Ann Arbor, and Harvard — and you'll find that they spend a lot of time with (1) old dead guys who were wrong about almost everything because they knew nothing of modern logic, probability theory, or science, and with (2) 20th century philosophers who were way too enamored with cogsci-ignorant armchair philosophy. (I say more about the reasons for philosophy's degenerate state here.)
As the CEO of a philosophy/math/compsci research institute, I think many philosophical problems are important. But the field of philosophy doesn't seem to be very good at answering them. What can we do?
Why, come up with better philosophical methods, of course!
Scientific methods have improved over time, and so can philosophical methods. Here is the first of my recommendations...
More Pearl and Kahneman, less Plato and Kant
Philosophical training should begin with the latest and greatest formal methods ("Pearl" for the probabilistic graphical models made famous in Pearl 1988), and the latest and greatest science ("Kahneman" for the science of human reasoning reviewed in Kahneman 2011). Beginning with Plato and Kant (and company), as most universities do today, both (1) filters for inexact thinkers, as Russell suggested, and (2) teaches people to have too much respect for failed philosophical methods that are out of touch with 20th century breakthroughs in math and science.
So, I recommend we teach young philosophy students:
| more Bayesian rationality, heuristics and biases, & debiasing, | less | informal "critical thinking skills"; |
| more mathematical logic & theory of computation, | less | term logic; |
| more probability theory & Bayesian scientific method, | less | pre-1980 philosophy of science; |
| more psychology of concepts & machine learning, | less | conceptual analysis; |
| more formal epistemology & computational epistemology, | less | pre-1980 epistemology; |
| more physics & cosmology, | less | pre-1980 metaphysics; |
| more psychology of choice, | less | philosophy of free will; |
| more moral psychology, decision theory, and game theory, | less | intuitionist moral philosophy; |
| more cognitive psychology & cognitive neuroscience, | less | pre-1980 philosophy of mind; |
| more linguistics & psycholinguistics, | less | pre-1980 philosophy of language; |
| more neuroaesthetics, | less | aesthetics; |
| more causal models & psychology of causal perception, | less | pre-1980 theories of causation. |
(In other words: train philosophy students like they do at CMU, but even "more so.")
So, my own "intro to philosophy" mega-course might be guided by the following core readings:
- Stanovich, Rationality and the Reflective Mind (2010)
- Hinman, Fundamentals of Mathematical Logic (2005)
- Russell & Norvig, Artificial Intelligence: A Modern Approach (3rd edition, 2009) — contains chapters which briefly introduce probability theory, probabilistic graphical models, computational decision theory and game theory, knowledge representation, machine learning, computational epistemology, and other useful subjects
- Sipser, Introduction to the Theory of Computation (3rd edition, 2012) — relevant to lots of philosophical problems, as discussed in Aaronson (2011)
- Howson & Urbach, Scientific Reasoning: The Bayesian Approach (3rd edition, 2005)
- Holyoak & Morrison (eds.), The Oxford Handbook of Thinking and Reasoning (2012) — contains chapters which briefly introduce the psychology of knowledge representation, concepts, categories, causal learning, explanation, argument, decision making, judgment heuristics, moral judgment, behavioral game theory, problem solving, creativity, and other useful subjects
- Dolan & Sharot (eds.), Neuroscience of Preference and Choice (2011)
- Krane, Modern Physics (3rd edition, 2012) — includes a brief introduction to cosmology
(There are many prerequisites to these, of course. I think philosophy should be a Highly Advanced subject of study that requires lots of prior training in maths and the sciences, like string theory but hopefully more productive.)
Once students are equipped with some of the latest math and science, then let them tackle The Big Questions. I bet they'd get farther than those raised on Plato and Kant instead.
You might also let them read 20th century analytic philosophy at that point — hopefully their training will have inoculated them from picking up bad thinking habits.
Previous post: Philosophy Needs to Trust Your Rationality Even Though It Shouldn't
Luke, this is my first comment on LessWrong so forgive me if I'm missing some of the zeitgeist. But I was wondering if you could elaborate on a couple points:
You recommend replacing ethics with moral psychology and decision theory. Hearing that, I'm concerned that replacing ethics with moral psychology would be falling for a naive is/ought fallacy: just because most people's psychological makeup makes them consider morality in a certain way does not make those moral intuitions correct. And replacing ethics with decision theory would be sidestepping the metaethical question about the legitimacy of consequentialism.
You've also left out any political theory from your syllabus. That is disappointing, since one of the roles that philosophy plays when performing at its best is uniting epistemology, ethics, and political philosophy. Plato and Kant, for example, were attempting to do that. How do you see your curriculum weighing in on questions like "What is justice?"
As for my background, I studied cognitive science as an undergraduate with a focus on complexity theory and artificial intelligence, but have also spent a lot of time reading and discussing other philosophy. While I think I understand the thrust of your argument (it's one I would have made myself when I was an undergrad), I've been since convinced of the value of other schools of thought.
I'd argue that, say, continental philosophers are not as sloppy as computer scientists or analytically trained philosophers accuse them of. Rather they have a specialized vocabulary (just like other specialists) for some very difficult but powerful concepts. Often these concepts pertain to social and political life. These concepts aren't easily reducible to a naturalized cognitivist wordview because they deal with transpersonal phenomena. That doesn't mean they lack utility though.
I don't think Luke would disagree with this statement. The point of learning moral psychology, as I understand it, is not to adopt moral psychology as moral philosophy; it's to understand where moral intuitions come from. Luke doesn't want philosophers studying intuitionist moral philosophy, as I understand it, be... (read more)