Why are computers so smart these days? And why are humans apparently still a bit smarter? Does this have something to do with the difference between data and meaning? Does this in turn mean that at least some abstract entities, such as numbers, exist independently of human thought? Wouldn’t that require an expansion of our scientific world view? And would that at all be compatible with what we know about our world from physics and chemistry, philosophy, psychology, neuroscience and the (...) theory of evolution? Finally, what would this tell us about ethical and aesthetic value theories? These and related questions will be discussed in this book. We will find that the difference between data and meaning, i.e. quantitative and qualitative information, does indeed appear to be of central importance for understanding both artificial and natural intelligence. And then the independent existence of abstract entities not only appears to be a particularly promising hypothesis, but also one that is entirely compatible with the sum of our scientific knowledge, especially with regard to value theories. The book thus arrives at the exploration of a scientifically tenable, panpsychistically inspired, objective idealism that can be derived from our most fundamental intuitions as subjects that perceive qualities, but that can also take into account the structuring of the world already at the micro-scale, found in the modern natural sciences. The result is a Platonic, but in a second step also a scientific realism and a naturalism in the sense that it is informed by the natural sciences in terms of an inductive metaphysics. An objective idealism, not in a rationalistic maximum form, but in a pragmatic minimum form; without eternal truths, but dependent on the continued philosophical-scientific and also philosophicalsocial dialog. The proposed model could offer interesting solutions to a number of problems at and near the mind/matter boundary: Proposals are being considered for the interpretation of quantum mechanics, the problem of molecular symmetry, the neuronal code and the binding problem in neuroscience, mental causation, a more holistic understanding of mental processes, and so on and so forth. However, the extent to which the model threatens to promise far too much is also being discussed. In sum, the core question is how we can imagine human thinking beyond physically conceived information processing. An alternative model of human thinking is then put up for discussion, for which not only machine-like cognitive performance, but above all the intentional perception of qualitative information, i.e. of abstract entities, would be central, as well as the free, ultimately creative linking of patterns of quantitative information (signals, data) with such qualities (meanings). (shrink)

My commentary focuses on Khalidi's defense of episodic memory as a cognitive kind. His argument relies on merging two distinct accounts of episodic memory—the phenomenal and the etiological. I suggest that Khalidi's framework can be used to carve the contemporary memory literature differently. On this view, the phenomenal account supports constructive episodic simulation as a cognitive kind, the etiological account supports event memory as a cognitive kind, and episodic memory ceases to be. The question for Khalidi is, then, how to (...) evaluate this alternative proposal—and more broadly how to adjudicate between competing and overlapping accounts of cognitive kinds. (shrink)

The origin of memories is thought to be found in sensory perception. This conception is central to how the memory sciences characterize encoding. This paper considers how novel memory traces can be formed independently of external sensory inputs. I present a case study in which memory traces are created without sensory perception using a technique I call optogenetic memory implantation. Comparing this artificial process with normal memory encoding, I consider its implications for rethinking the causal chain that leads to remembering.

The (dis)continuism problem asks if episodic memory is continuous with imagination. Given its close proximity with the cognitive sciences, philosophers have traditionally taken this issue as part of a larger naturalistic framework in the philosophy of memory. Some philosophers have argued that such naturalistic methodology entails the need for philosophers to also take the mental attitudes of remembering and imagining into account. However, the naturalistic methodology is concerned with making ontological claims on the basis of the relevant explanatory terms inside (...) the framework of the empirical sciences. It is unclear whether attitudes have such a role in the cognitive sciences, specially cognitive neuroscience. Without such an account of their relevancy, one could argue that it is unlikely that "remembering'' and "imagining'' have any significant role in naturalistic philosophy. Such is the _exclusion argument_. In this paper, I offer an account of how mental attitudes indirectly correspond to neural mechanisms to show how the exclusion argument is not sound. This account, named _interpretivism_, not only supports pluralism about (dis)continuism, but also indicates how empirical and epistemic meanings of ``remembering" could be integrated in our thinking about memory. (shrink)