This paper focuses on two conflations which frequently appear within the philosophy of history and other fields concerned with action explanation. The first of these, which I call the Conflating View of Reasons, states that the reasons for which we perform actions are reasons why (those events which are) our actions occur. The second, more general conflation, which I call the Conflating View of Action Explanation, states that whatever explains why an agent performed a certain action explains why (that event (...) which was) her action occurred. Both conflations ignore the fact that there are at least two distinct objects that legitimately qualify as objects of action explanation2. As Jennifer Hornsby (1993) has previous suggested, one thing we might wish to explain is ‘why did A do what she did?’ another is, ‘why did the event of her doing it occur?’ -/- I shall argue that when these two views are combined they give rise to a futile debate about explanation in the philosophies of history and the social sciences, and to an almost identical debate in moral psychology and the philosophy of mind. In so doing, I shall also examine a proposed distinction between explaining a phenomenon, and rendering it intelligible. I conclude by distinguishing between four different objects of historical understanding, each of which is to be understood in the light of the aforementioned distinctions between event and thing done, and explanation and intelligibility. (shrink)

From time to time philosophers and scientists have made sensational, provocative claims that certain things do not exist or never happen that, in everyday life, we unquestioningly take for granted as existing or happening. These claims have included denying the existence of matter, space, time, the self, free will, and other sturdy and basic elements of our common-sense or naïve world-view. Around the middle of the twentieth century an argument was developed that can be used to challenge many such skeptical (...) claims based on linguistic considerations, which came to be known as the Paradigm Case Argument ... (shrink)

This is a work concerned with justification and freedom and the relationship between these. Its summational aim is to defend a transcendental argument for free will – that we could not be epistemically justified in undermining a strong notion of free will, as a strong notion of free will would be required for any such process of undermining to be itself epistemically justified. The book advances two transcendental arguments – for a deontically internalist conception of epistemic justification and the aforementioned (...) argument for a libertarian conception of free will. In defending each of these arguments, the book both defends and relies upon the principle that ‘ought’ implies ‘can’. In articulating the latter transcendental argument – for freedom – heavy reliance is made on the earlier, epistemic, work: especially on the deontological conception of rational justification (on epistemic internalism). (shrink)

A sourcebook/textbook on the problem of free will and determinism. Contains a history of the free will problem, a taxonomy of current free will positions, the standard argument against free will, the physics, biology, and neuroscience of free will, the most plausible and practical solution of the problem, and reviews of the work of the leading determinist Ted Honderich, the leading libertarian Robert Kane, the well-known compatibilist Daniel Dennett, and the determinism-agnostic Alfred Mele.

Mechanism is the thesis that men can be considered as machines, that there is no essential difference between minds and machines.John Lucas has argued that it is a consequence of Gödel's theorem that mechanism is false. Men cannot be considered as machines, because the intellectual capacities of men are superior to that of any machine. Lucas claims that we can do something that no machine can do-namely to produce as true the Gödel-formula of any given machine. But no machine can (...) prove its own Gödel-formula. (shrink)

This paper concerns Alan Turing’s ideas about machines, mathematical methods of proof, and intelligence. By the late 1930s, Kurt Gödel and other logicians, including Turing himself, had shown that no finite set of rules could be used to generate all true mathematical statements. Yet according to Turing, there was no upper bound to the number of mathematical truths provable by intelligent human beings, for they could invent new rules and methods of proof. So, the output of a human mathematician, for (...) Turing, was not a computable sequence (i.e., one that could be generated by a Turing machine). Since computers only contained a finite number of instructions (or programs), one might argue, they could not reproduce human intelligence. Turing called this the “mathematical
objection” to his view that machines can think. Logico-mathematical reasons, stemming from his own work, helped to convince Turing that it should be possible to reproduce human intelligence, and eventually compete with it, by developing the appropriate kind of digital computer. He felt it
should be possible to program a computer so that it could learn or discover new rules, overcoming the limitations imposed by the incompleteness and undecidability results in the same way that human
mathematicians presumably do. (shrink)

In this paper, we demonstrate (1) how harnessing stochasticity can be the basis of creative agency; (2) that such harnessing can resolve the apparent conflict between reductionist (micro-level) accounts of behaviour and behaviour as the outcome of rational and value-driven (macro-level) decisions; (3) how neurophysiological processes can instantiate such behaviour; (4) The processes involved depend on three features of living organisms: (a) they are necessarily open systems; (b) micro-level systems therefore nest within higher-level systems; (c) causal interactions must occur across (...) all the boundaries between the levels of organization. The higher levels constrain the dynamics of lower levels. The experimental evidence and theoretical arguments are shown to be consistent with previous research on the neuronal mechanisms of conscious choice, and with the interconnected multi-level processes by which organisms harness stochasticity, whether conscious or unconscious. (shrink)