I'll begin with a strange consequence of the best system
account. Imagine that the basic laws of quantum physics are
stochastic: for each state of the universe, the laws assign
probabilities to possible future states. What do these probability
statements mean?

It is well-known that humans don't conform to the model of rational
choice theory, as standardly conceived in economics. For example, the
minimal price at which people are willing to sell a good is often much
higher than the maximal price at which they would previously have been
willing to buy it. According to rational choice theory, the two prices
should coincide, since the outcome of selling the good is the same as
that of not buying it in the first place. What we philosophers call
'decision theory' (the kind of theory you find in Jeffrey's *Logic
of Decision* or Joyce's *Foundations of Causal Decision
Theory*) makes no such prediction. It does not assume that the
value of an act in a given state of the world is a simple function of
the agent's wealth after carrying out the act. Among other things, the
value of an act can depend on historical aspects of the relevant
state. A state in which you are *giving up* a good is not at all
the same as a state in which you aren't buying it in the first place,
and decision theory does not tell you that you must assign equal
value to the two results.

In *The Metaphysics within Physics*, Tim Maudlin raises a
puzzling objection to Humean accounts of laws. (Possibly the same
objection is raised by John Halpin in several earlier papers such as
"Scientific law: A perspectival account".)

For every way things might have been there is a possible world where
they are that way. What does that tell us about the number of worlds?

If we identify ways things might have been ("propositions") with
sentences of a particular language, or with semantic values of such
sentences, the answer will depend on the language and will generally
be small (countable). But that's not what I have in mind. It might
have been that a dart is thrown at a spatially continuous dartboard,
and each point on the board is a location where the dart's centre
might have landed. These are continuum many possibilities, although
they cannot be expressed, one by one, in English.

Many of our best scientific theories make only probabilistic
predications. How can such theories be confirmed or disconfirmed by
empirical tests?

The answer depends on how we interpret the
probabilistic predictions. If a theory T says 'P(A)=x', and we
interpret this as meaning that Heidi Klum is disposed to bet on A at
odds x : 1-x, then the best way to test T is by offering bets to Heidi
Klum.

In a nice little paper, "The Non-Transitivity of the
Contingent and Occasional Identity Relations", Ralf Bader argues
that if identity is relative to times or worlds, then it becomes
non-transitive and thus no longer qualifies as real identity.

In the (Northern) summer, I wrote a short survey article on
contingent identity. The word limit did not allow me to go into many
details. In particular, I ended up with only a brief paragraph on
Andre Gallois's theory of occasional identity, although I would have
liked to say a lot more. So here are some further thoughts and comments
on Gallois's account.

To what extent are the beliefs and desires of rational agents
determined by their actual and counterfactual choices? More precisely,
suppose we are given a preference order that obtains between a
possible act A and a possible act B iff the relevant agent is disposed
to choose A over B. Say that a pair (C,V) of a credence function C and
a utility (desirability) function V *fits* the preference order
iff, whenever A is preferred over B, then A has higher expected
utility than B by the lights of (C,V). Now, to what extent does a
rational preference order constrain fitting credence-utility
pairs?

I like a broadly Kratzerian account of conditionals. On this account, the function of if-clauses is to restrict the space of possibilities on which the rest
of the sentence is evaluated. For example, in a sentence of the form
'the probability that if A then B is x', the if-clause restricts the
space of possibilities to those where A is true; the probability of B
relative to this restricted space is x iff the unrestricted
conditional probability of B given A is x. This account therefore
valides something that *sounds* exactly like
"Stalnaker's Thesis" for indicative conditionals: