Ioannis G. Ntagkas

This article presents two learning processes in order to explain how children at an early age can transform a complex sensory input to concepts and categories. The first process constructs the perceptual structures that emerge in children’s cognitive development by detecting invariants in the sensory input. The invariant structures involve a reduction in dimensionality of the sensory information. It is argued that this process generates the primary domains of space, objects and actions and that these domains can be represented as conceptual spaces. Once the primary domains have been established, the second process utilizes covariances between different dimensions of the domains in order to identify natural clusters of entities. The clusters are then are used to determine concepts as regions in the spaces. As an application, the processes are used to resolve the so-called ‘complex first paradox’ that emerges from the fact that children, in general, learn nouns earlier than adjectives, even though nouns are semantically more complex than adjectives.

This article is a rejoinder to Hernández-Conde’s (Synthese 194(10):4011–4037, 2017) criticism of the convexity criterion in the theory of conceptual spaces. His arguments in general claim that the convexity criterion could be false and that it therefore is problematic for the theory. However, this is a misunderstanding since the convexity criterion is put forward as an empirically testable law for concepts. The long list of cases where the convexity criterion could be false that Hernández-Conde presents rather exhibits the rich empirical content of the criterion.

Conceptual spaces have become an increasingly popular modeling tool in cognitive psychology. The core idea of the conceptual spaces approach is that concepts can be represented as regions in similarity spaces. While it is generally acknowledged that not every region in such a space represents a natural concept, it is still an open question what distinguishes those regions that represent natural concepts from those that do not. The central claim of this paper is that natural concepts are represented by the cells of an optimally designed similarity space.

Why is a red face not really red? How do we decide that this book is a textbook or not? Conceptual spaces provide the medium on which these computations are performed, but an additional operation is needed: Contrast. By contrasting a reddish face with a prototypical face, one gets a prototypical ‘red’. By contrasting this book with a prototypical textbook, the lack of exercises may pop out. Dynamic contrasting is an essential operation for converting perceptions into predicates. The existence of dynamic contrasting may contribute to explaining why lexical meanings correspond to convex regions of conceptual spaces. But it also explains why predication is most of the time opportunistic, depending on context. While off-line conceptual similarity is a holistic operation, the contrast operation provides a context-dependent distance that creates ephemeral predicative judgments that are essential for interfacing conceptual spaces with natural language and with reasoning

Concepts are fundamental collective constructs of individual items that are capable of abstracting meaningfully homogeneous groupings of phenomena. This capability is a prerequisite for communication and action and gives structure to learning and memory. Our study is aligned with the vast paradigm that assumes embodied cognition, rooted in Merleau-Ponty. Routledge and Kegan Paul, London, 1962), seminally articulated by Varela et al. and existing today in a number of variants that have been reviewed by Wilson :625–636, 2002). We argue that the faculty to conceptualise may spring from the ability of homo habilis to manage concrete actions in space and time, and we propose that at the root level, ‘grasping concepts’ in a cognitive perspective may have a lot to do with the process of ‘grasping objects’ from an operational position.

A “conceptual spaces” approach is used to formalize Aristotle’s main intuitions about time and change, and other ideas about temporal points of view. That approach has been used in earlier studies about points of view. Properties of entities are represented by locations in multidimensional conceptual spaces; and concepts of entities are identified with subsets or regions of conceptual spaces. The dimensions of the spaces, called “determinables”, are qualities in a very general sense. A temporal element is introduced by adding a time variable to state functions that map entities into conceptual spaces. That way, states may have some permanency or stability around time instances. Following Aristotle’s intuitions, changes and events will not be necessarily instant phenomena, instead they could be processual and interval dependent. Change is defined relatively to the interval during which the change is taking place. Time intervals themselves are taken to represent points of view. To have a point of view is to look at the world as it is in the selected interval. Many important concepts are relativized to intervals, for instance change, events, identity, ontology, potentiality, etc. The definition of points of view as intervals allows to compare points of view in relation to all these concepts. The conceptual space approach has an immediate semantic and structural character, but it is tempting to develop also logics to describe them. A formal language is introduced to show how this could be done

In this dissertation, a logical analysis of points of view is presented. It is based on the concept of determinable presented by Johnson in his book Logic. A point of view is a set of Determinables. Determinables generate a many-dimensional conceptual space. Concepts are subsets of this space, and their relations form a lattice. A logical system to present points of view is introduced and proved to be complete. Some applications of this logic are demonstrated (relative identity, scientific change, inductive logic etc.).

This edited book focuses on concepts and their applications using the theory of conceptual spaces, one of today’s most central tracks of cognitive science discourse. It features 15 papers based on topics presented at the Conceptual Spaces @ Work 2016 conference. The contributors interweave both theory and applications in their papers. Among the first mentioned are studies on metatheories, logical and systemic implications of the theory, as well as relations between concepts and language. Examples of the latter include explanatory models of paradigm shifts and evolution in science as well as dilemmas and issues of health, ethics, and education. The theory of conceptual spaces overcomes many translational issues between academic theoretization and practical applications. The paradigm is mainly associated with structural explanations, such as categorization and meronomy. However, the community has also been relating it to relations, functions, and systems. The book presents work that provides a geometric model for the representation of human conceptual knowledge that bridges the symbolic and the sub-conceptual levels of representation. The model has already proven to have a broad range of applicability beyond cognitive science and even across a number of disciplines related to concepts and representation.

Points of view are a central phenomenon in human cognition. Although the concept of point of view is ambiguous, there exist common elements in different notions. A point of view is a certain way to look at things around us. In conceptual points of view, things are looked at or interpreted through conceptual lenses. Conceptual points of view are important for epistemology, cognitive science, and philosophy of science. In this article, a new method to formalize conceptual points of view is introduced. It is based on the conceptual space approach, where concepts are regions of multi-dimensional quality spaces. Points of view, as defined in this article, consist of a selection of relevant dimensions, referred to here as determinables, and of a certain supposition, referred to here as a theory, about the subject content. After considering some early efforts to formalize points of view, the notion of conceptual space is defined and explored. One concept of point of view is defined and developed in the framework of conceptual space, and a new logic for points of view is also outlined. The problem of mind–body correlation is discussed as an example of the application of the notion of points of view. To conclude, the meaning and applications of the new concepts and tools developed in the article are discussed.

This volume of Ned Block's writings collects his papers on consciousness, functionalism, and representationism. A number of these papers treat the significance of the multiple realizability of mental states for the mind-body problem -- a theme that has concerned Block since the 1960s. One paper on this topic considers the upshot for the mind-body problem of the possibility of a robot that is functionally like us but physically different -- as is Commander Data of _Star Trek's_ second generation. The papers on consciousness treat such conceptual issues as phenomenal versus access consciousness, Dennett's theory of consciousness, and the function of consciousness, as well as such empirical matters as "How Not to Find the Neural Correlate of Consciousness," and (in an expanded version of a paper originally in Trends in Cognitive Sciences ) an argument that there are distinct neural correlates for access consciousness and phenomenal consciousness. Turning to the mind-body problem, Block defends physicalism against Max Black's argument concerning phenomenal modes of presentation. The papers on representationism consider "mental paint" as well as the "Inverted Earth" thought experiment -- a world in which colors are reversed but there is a compensating reversal in the words that are used to describe them. _Consciousness, Function, and Representation_, bringing together papers that have appeared primarily in journals and conference proceedings, can be regarded as Block's most complete statement of his positions on consciousness.

For patients under anesthesia, it is extremely important to be able to ascertain from a scientific, third person point of view to what extent consciousness is correlated with specific areas of brain activity. Errors in accurately determining when a patient is having conscious states, such as conscious perceptions or pains, can have catastrophic results. Here, I argue that the effects of (at least some kinds of) anesthesia lend support to the notion that neither basic sensory areas nor the prefrontal cortex (PFC) is sufficient to produce conscious states. I also argue that it this is consistent with and supportive of the higher-order thought (HOT) theory of consciousness. I therefore disagree in some ways with Mehta and Mashour (2013), who argue that evidence from anesthesia mainly favors a first-order representational (FOR) theory, as opposed to HOT theory (and many other theories, for that matter).

The paper presents a realist account of the epistemic objectivity of science. Epistemic objectivity is distinguished from ontological objectivity and the objectivity of truth. As background, T.S. Kuhn’s idea that scientific theory-choice is based on shared scientific values with a role for both objective and subjective factors is discussed. Kuhn’s values are epistemologically ungrounded, hence provide a minimal sense of objectivity. A robust account of epistemic objectivity on which methodological norms are reliable means of arriving at the truth is presented. The problem remains that deliberative judgement is required to determine the relevance and relative significance of a range of methodological norms. A role is sketched for cognitive virtues which may be exercised in the course of the deliberative judgement.

The explanatory gap. Consciousness is a mystery. No one has ever given an account, even a highly speculative, hypothetical, and incomplete account of how a physical thing could have phenomenal states. Suppose that consciousness is identical to a property of the brain, say activity in the pyramidal cells of layer 5 of the cortex involving reverberatory circuits from cortical layer 6 to the thalamus and back to layers 4 and 6,as Crick and Koch have suggested for visual consciousness..) Still, that identity itself calls out for explanation! Proponents of an explanatory gap disagree about whether the gap is permanent. Some say that we are like the scientifically naive person who is told that matter = energy, but does not have the concepts required to make sense of the idea. If we can acquire these concepts, the gap is closable. Others say the gap is uncloseable because of our cognitive limitations. Still others say that the gap is a consequence of the fundamental nature of consciousness.

The logic of indicative conditionals remains the topic of deep and intractable philosophical disagreement. I show that two influential epistemic norms—the Lockean theory of belief and the Ramsey test for conditional belief—are jointly sufficient to ground a powerful new argument for a particular conception of the logic of indicative conditionals. Specifically, the argument demonstrates, contrary to the received historical narrative, that there is a real sense in which Stalnaker’s semantics for the indicative did succeed in capturing the logic of the Ramseyan indicative conditional.

The principle of indifference states that in the absence of any relevant evidence, a rational agent will distribute their credence equally among all the possible outcomes under consideration. Despite its intuitive plausibility, PI famously falls prey to paradox, and so is widely rejected as a principle of ideal rationality. In this article, I present a novel rehabilitation of PI in terms of the epistemology of comparative confidence judgments. In particular, I consider two natural comparative reformulations of PI and argue that while one of them prescribes the adoption of patently irrational epistemic states, the other provides a consistent formulation of PI that overcomes the most salient limitations of existing formulations.

It is generally assumed that relations of necessity cannot be known by induction on experience. In this paper, I propose a notion of situated possibilities, weaker than nomic possibilities, that is compatible with an inductivist epistemology for modalities. I show that assuming this notion, not only can relations of necessity be known by induction on our experience, but such relations cannot be any more underdetermined by experience than universal regularities. This means that any one believing in a universal regularity is as well warranted to believe in the corresponding relation of necessity.

Recent challenges to non-traditional theories of natural kinds demand clarifications and revisions to those theories. Highlights: The semantics of natural kind terms is a special case of a general naturalistic conception of signaling in organisms that explains the epistemic reliability of signaling. Natural kinds and reference are two aspects of the same natural phenomenon. Natural kind definitions are phenomena in nature not linguistic or representational entities; their relation to conceptualized definitions is complex. Reference and truth are special cases of a broader phenomenon of accommodation between aspects of signaling and epistemically relevant causal structures.

Adam Smith is often cited as one of the intellectual forefathers of the concept of civil society. Although there is undeniable truth to this characterization, this chapter seeks to illuminate the major differences between Smith’s vision of civil society and contemporary appropriations. Unlike latter-day communitarians, social scientists, or Marxians who define civil society as the realm of the voluntary and private, or as the structural antithesis of the state, Smith’s account represents a complex blend of moral, historical, legal, sociological, and economic elements. In particular, understanding the nature and origins of a civil society requires a fuller attention to the moral virtue of civility.

Contemporary Humeans treat laws of nature as statements of exceptionless regularities that function as the axioms of the best deductive system. Such ‘Best System Accounts’ marry realism about laws with a denial of necessary connections among events. I argue that Hume’s predecessor, George Berkeley, offers a more sophisticated conception of laws, equally consistent with the absence of powers or necessary connections among events in the natural world. On this view, laws are not statements of regularities but the most general rules God follows in producing the world. Pace most commentators, I argue that Berkeley’s view is neither instrumentalist nor reductionist. More important, the Berkeleyan Best System can solve some of the problems afflicting its Humean rivals, including the problems of theory choice and Nancy Cartwright’s ‘facticity’ dilemma. Some of these solutions are available in the contemporary context, without any appeal to God. Berkeley’s account deserves to be taken seriously in its own right.