This PhD thesis focuses on the philosophical foundations of Neuroeconomics, an innovative research program which combines findings and modelling tools from economics, psychology and neuroscience to account for human choice behaviour. The proponents of Neuroeconomics often manifest the ambition to foster radical modifications in the accounts of choice behaviour developed by its parent disciplines. This enquiry provides a philosophically informed appraisal of the potential for success and the relevance of neuroeconomic research for economics. My central claim is that neuroeconomists can (...) help other economists to build more predictive and explanatory models, yet are unlikely to foster revolutionary modifications in the economic theory of choice. The contents are organized as follows. In chapters 1-2, I present neuroeconomists’ investigative tools, distinguish the most influential approaches to neuroeconomic research and reconstruct the case in favour of a neural enrichment of economic theory. In chapters 3-7, I combine insights from neuro-psychology, economic methodology and philosophy of science to develop a systematic critique of Neuroeconomics. In particular, I articulate four lines of argument to demonstrate that economists are provisionally justified in retaining a methodologically distinctive approach to the modelling of decision making. My first argument points to several evidential and epistemological concerns which complicate the interpretation of neural data and cast doubt on the inferences neuroeconomists often make in their studies. My second argument aims to show that the trade-offs between the modelling desiderata that neuroeconomists and other economists respectively value severely constrain the incorporation of neural insights into economic models. My third argument questions neuroeconomists’ attempts to develop a unified theory of choice behaviour by identifying some central issues on which they hold contrasting positions. My fourth argument differentiates various senses of the term ‘revolution’ and illustrates that neuroeconomists are unlikely to provide revolutionary contributions to economic theory in any of these senses. (shrink)

In order to examine the fit between realism and science, one needs to address two issues: the unit of science question (realism about which parts of science?) and the contents of realism question (which realism about science?). Answering these questions is a matter of conceptual and empirical inquiry by way local case studies. Instead of the more ordinary abstract and global scientific realism, what we get is a doubly local scientific realism based on a bottom-up strategy. Representative formulations of the (...) former kind are in terms of the truth and reality of the posits of current science, in terms of warranted belief, in terms of mind-independent unobservable entities. Using illustrations mainly from the social sciences, doubly local scientific realism denies the global applicability of such formulations and seeks to make adjustments in their elements in response to information about local units of science: It is sufficient for a realist to give the existence of an entity (and the truth of a theory) a chance, while in some areas we may be in s position to make justified claims about actual existence (and truth). Logical inquiry-independent existence is sufficient for the social and human sciences, while mind-independence will be fine for many other domains. It should not be insisted that the theoretical posits of realist science be strict unobservables in all areas: most theoretical posits of the social sciences are idealized commonsensibles, such as elements in folk psychology. Unsurprisingly, this sort of local strategy will create space for realism that is able to accommodate larger areas of science without sacrificing traditional realist intuitions. (shrink)