## Published & Forthcoming Papers

**'Ramseyfying' Probabilistic Comparativism |**Forthcoming in

*Philosophy of Science*

**Abstract:**Comparativism is the view that comparative confidences (e.g., being more confident that P than that Q) are more fundamental than degrees of belief (e.g., believing that P with some strength x). In this paper, I outline the basis for a new, non-probabilistic version of comparativism inspired by a suggestion made by Frank Ramsey in `Probability and Partial Belief'. I show how, and to what extent, `Ramseyan comparativism' might be used to weaken the (unrealistically strong) probabilistic coherence conditions that comparativism traditionally relies on.

**Betting Against the Zen Monk: On Preferences and Belief |**Forthcoming in

*Synthese*

The open-access published version is also available here

**Abstract:**According to the preference-centric approach to understanding partial belief, the connection between partial beliefs and preferences is key to understanding what partial beliefs are and how they're measured. As Ramsey put it, the 'degree of a belief is a causal property of it, which we can express vaguely as the extent to which we are prepared to act on it'. But this idea is not as popular as it once was. Nowadays, the preference-centric approach is frequently dismissed out-of-hand as behaviouristic, unpalatably anti-realist, and/or prone to devastating counterexamples. Cases like Eriksson and Hajek's (2007) preferenceless

*Zen monk*and Christensen's (2001)

*other roles*argument have suggested to many that any account of partial belief that ties them too closely to preferences is irretrievably flawed. In this paper I provide a defence of preference-centric accounts of partial belief.

**Recent Work in Normative Decision Theory**

**|**2019,

*Analysis Reviews 79 (4): 755-772*

The published version is available here

**Abstract:**A review of some major topics of debate in normative decision theory from circa 2007 to 2019. Topics discussed include the ongoing debate between causal and evidential decision theory, decision instability, risk-weighted expected utility theory, decision-making with incomplete preferences, and decision-making with imprecise credences. (Note: the version uploaded here is slightly longer and more complete than the published version.)

**Impossible Worlds and Partial Belief**2019,

** |***Synthese 196 (8): 3433-58*

The open-access published version is also available here

**Abstract:**One response to the problems of logical omniscience is to extend the space of possible worlds to include impossible worlds. It is natural to think that essentially the same strategy can be applied to standard probabilistic models of partial belief, for which parallel problems also arise. In this paper, I note a difficulty with the inclusion of impossible worlds into probabilistic models. With only very weak assumptions about the space of worlds, most of the propositions which can be constructed from possible and impossible worlds are in an important sense

*inexpressible*; whereas the probabilistic model seems committed to saying that agents in general have at least as many attitudes towards inexpressible propositions as they do towards expressible propositions. If it is reasonable to think that our attitudes are generally expressible, then a model with such commitments looks problematic.

**Ramsey Without Ethical Neutrality |**2017,

*Mind 126 (501): 1-51*

The published version is available here

**Abstract:**Frank Ramsey’s ‘Truth and Probability’ sketches a proposal for the empirical measurement of credences, along with a corresponding set of axioms for a (somewhat incomplete) representation theorem intended to characterize the preference conditions under which this measurement process is applicable. There are several features of Ramsey’s formal system which make it attractive and worth developing. However, in specifying his measurement process and his axioms, Ramsey introduces the notion of an ethically neutral proposition, the assumed existence of which plays a key role throughout Ramsey’s system. A number of later representation theorems have also appealed to ethically neutral propositions. The notion of ethical neutrality has often been called into question—in fact, there seem to be good reasons to suppose that no ethically neutral propositions exist. In this paper, I present several new, Ramsey-inspired representation theorems that avoid any appeal to ethical neutrality. These theorems preserve the benefits of Ramsey’s system, without paying the cost of ethical neutrality.

**A Representation Theorem for Frequently Irrational Agents |**2017,

*Journal of Philosophical Logic 46 (5): 467-506*

The published version is available here

**Abstract:**The standard representation theorem for expected utility theory tells us that if a subject's preferences conform to certain axioms, then she can be represented as maximising her expected utility given a particular set of credences and utilities--and, moreover, that having those credences and utilities is the

*only*way that she could be maximising her expected utility (given her preferences). However, the kinds of agents these theorems seem apt to tell us anything about are highly idealised, being (amongst other things) always probabilistically coherent with infinitely precise degrees of belief and full knowledge of all

*a priori*truths. Ordinary subjects do not look very rational when compared to the kinds of agents usually talked about in decision theory. In this paper, I will develop an expected utility representation theorem aimed at the representation of those who are neither probabilistically coherent, logically omniscient, nor expected utility maximisers across the board--that is, agents who are

*frequently irrational*. The agents in question may be deductively fallible, have incoherent credences, limited representational capacities, and fail to maximise expected utility for all but a limited class of gambles.

**Probabilism, Representation Theorems, and Whether Deliberation Crowds out Prediction |**2017,

*Erkenntnis 82 (2): 379-99*

The published version is available here

**Abstract:**Decision-theoretic representation theorems have been developed and appealed to in the service of two important philosophical projects: (i) in attempts to characterise credences in terms of preferences, and (ii) in arguments for probabilism. Theorems developed within the formal framework that Savage developed have played an especially prominent role here. I argue that the use of these 'Savagean' theorems create significant difficulties for both projects, but particularly the latter. The origin of the problem directly relates to the question of whether we can have credences regarding acts currently under consideration and the consequences which depend on those acts; I argue that such credences are possible. Furthermore, I argue that attempts to use Jeffrey's non-Savagean theorem (and similar theorems) in the service of these two projects may not fare much better.

**Epistemic Two-Dimensionalism and Arguments from Epistemic Misclassification |**2013,

*Australasian Journal of Philosophy*

*91 (2): 375-89*(with Kelvin McQueen and Clas Weber).

The published version is available here

**Abstract:**Epistemic Two-Dimensional Semantics (E2D) claims that expressions have a counterfactual intension and an epistemic intension. Epistemic intensions reflect cognitive significance such that sentences with necessary epistemic intensions are

*a priori*. We defend E2D against an influential line of criticism:

*arguments from epistemic misclassification*. We focus in particular on the arguments of Speaks [2010] and Schroeter [2005]. Such arguments conclude that E2D is mistaken from (i) the claim that E2D is committed to classifying certain sentences as

*a priori*and (ii) the claim that such sentences are

*a posteriori*. We aim to show that these arguments are unsuccessful as (i) and (ii) undercut each other. One must distinguish the general framework of E2D from a specific

*implementation*of it. The framework is flexible enough to avoid commitment to the

*apriority*of any particular sentence; only specific implementations are so committed. Arguments from epistemic misclassification are therefore better understood as arguments for favouring one implementation of E2D over another, rather than as refutations of E2D.

## Works in Progress

Comments can be left on any of the papers in the following links

**Unawareness and Implicit Belief: Possible Worlds Models of Informational Content |*Conditionally accepted*

**Abstract:**Possible worlds models of belief have difficulties accounting for

*unawareness*, the inability an agent may have to entertain (and hence believe) certain propositions. Accommodating the possibility of unawareness is important for adequately modelling epistemic states, and representing the informational content to which agents have access given their explicit beliefs. In this paper, I use neighbourhood structures to develop an original multi-agent model of explicit belief, awareness, and informational content, along with an associated sound and complete axiom system. I also defend the model against the seminal impossibility result of Dekel et al. (1998), according to which three intuitive conditions preclude non-trivial unawareness on any 'standard' model of knowledge or belief.

**Comparativism and the Measurement of Partial Belief |**

*Under revise & resubmit*

**Abstract:**According to

*comparativism*, degrees of belief are reducible to a system of purely ordinal comparisons of relative confidence. (For example, being more confident that

*P*than that

*Q*, or being equally confident that

*P*and that

*Q*.) In this paper, I raise several general challenges for comparativism, relating to (i) its capacity to illuminate apparently meaningful claims regarding intervals and ratios of strengths of belief, (ii) its capacity to draw enough intuitively meaningful and theoretically relevant distinctions between doxastic states, and (iii) its capacity to handle common instances of irrationality.

**Don't Stop Believing: On the Rationality of Inquiry into the Moral Error Theory (with J. Isserow) |**

*Under review; email me for a draft*

**Abstract:**It's natural to think that there's value to improving the accuracy of one's beliefs. If beliefs are a map by which we steer our efforts to bring the world in line with our preferences, then, all else being equal, we should want a more accurate map. However, the world could be structured so as to

*punish*learning with respect to certain topics; i.e., by coming to learn certain things, your situation as a whole may end up worse than it would have been otherwise. In this paper, we investigate whether the world is structured so as to punish learning specifically with respect to the moral error theory. We ask: If an ordinary human agent, with ordinary human preferences, had the option to learn whether the error theory is true, should she take it? We will argue that she should not.

**Lewis DeHumanized: Resolving the Problem of Radical Indeterminacy |**

*It'll be done when it's done*

**Abstract:**Over the course of nearly a dozen works, David Lewis developed a unique---and uniquely sophisticated---functionalist theory of beliefs and desires, centred around an essentially Bayesian picture of typical human psychology. There is a lot to like about his theory, but it's not perfect. In this paper, I will do two things. First, I will describe Lewis' theory in detail, taking care to correct some common misunderstandings. Second, I will describe some unfortunate consequences of Lewis' preferred response to radical indeterminacy, and show how that response might be improved.

**On the Role of Representation Theorems: Functionalism and the Bayesian Theory of Mind |**

*It'll be done when it's done*

**Abstract:**A typical representation theorem for expected utility theory says, roughly, that if an agent's preferences satisfy certain conditions, then there will exist a unique system of credences and utilities under which those preferences maximise expected utility. There is a long tradition which takes these theorems to be important in one way or another for characterising

*what it is*to have credences and utilities. In their (2011), Meacham & Weisberg argue against this tradition. In this paper, I will offer a response to Meacham & Weisberg's arguments. With that said, I will go on to provide alternative reasons to think that contemporary representation theorems are inadequate for characterisational purposes. While there is scope for the eventual development of decision-theoretic representation theorems that will do the work we require of them, getting to that point will require some fundamental shifts in how they are conceptualised.

**Credal Sets and Strength of Belief |**

*It'll be done when it's done*

**Abstract:**I distinguish between several common ways to interpreting credal sets (i.e., sets of probability functions), which are often conflated--the supervaluational, interval, and intersectional interpretations. I discuss each in relation to the idea that the strength of a belief is a psychological quantity. I show that on the intersectional interpretation, but not on the supervaluational or interval interpretations, a number of very intuitive claims about strengths of belief become difficult to maintain, and the intersectional interpretation requires a more radical picture of the mind than is often realised by its proponents. Finally, I suggest the need for generalising the credal sets model, along with a mixed interval-supervaluational interpretation of the resulting model.

## Miscellaneous bits and pieces

**1.****Frank P. Ramsey: Partial Belief and Subjective Probability |**Stanford Encyclopedia co-authored entry**2.****'Ramseyfying' Probabilistic Comparativism |**Presented at F.E.W. 2018 and the 2019 APA Eastern Division Meeting.**3. Ramsey and the Ethically Neutral Proposition |**Short unpublished exposition piece for the Leeds NatRep group.**4. The Instability of Savage's Foundations: The Constant Acts Problem |**Short unpublished exposition piece for the Leeds NatRep group.**5. What is Lewisean Interpretivism |**Presentation at Manchester 2019 Lewis conference.