Philosophies — Open Access Journal

Ecology and sustainability are current narratives about the behavior of humans toward themselves and the environment. Ecology is defined as a science, and a philosophy of ecology has become a recognized domain of the philosophy of science. For some, sustainability is an accepted, important moral goal. In 2013, a Special Issue of the journal Sustainability dealt with many of the relevant issues. Unfortunately, the economic, ideological, and psychological barriers to ethical behavior and corresponding social action remain great as well as obvious. In this paper, I propose that a new, non-standard and non-propositional logic of real processes, Logic in Reality (LIR) grounded in physics applies to the science and philosophy of these narratives and helps to explicate them. Given the ecological role of organizations and institutions, reference is often made to organizational or institutional logics as guides to ecological practice. This paper suggests that these logics are either too abstract or too informal to have an impact in a conflictual world. Recognition of the suggested new, transdisciplinary logical dimension of ecological processes may provide credibility and support to new initiatives in ecology and its philosophy. Full article

Computational implementations are special relations between what is computed and what computes it. Though the word “isomorphism” appears in philosophical discussions about the nature of implementations, it is used only metaphorically. Here we discuss computation in the precise language of abstract algebra. The capability of emulating computers is the defining property of computers. Such a chain of emulation is ultimately grounded in an algebraic object, a full transformation semigroup. Mathematically, emulation is defined by structure preserving maps (morphisms) between semigroups. These are systematic, very special relationships, crucial for defining implementation. In contrast, interpretations are general functions with no morphic properties. They can be used to derive semantic content from computations. Hierarchical structure imposed on a computational structure plays a similar semantic role. Beyond bringing precision into the investigation, the algebraic approach also sheds light on the interplay between time and computation. Full article

In this paper, I would like to explore the idea that some non-human animals may be incapable of detaching or separating some of their concepts both from other concepts and from the larger thought contents that they are part of. This, in turn, will make it impossible for them to recombine these undetachable concepts with others in every admissible way. I will begin by distinguishing three different ways in which one concept may be undetachable from others, and I will show how each of them leads to specific restrictions in the kinds of conceptual re-combinations that they admit. Finally, I will try to provide some theoretical reasons, as well as some empirical evidence, to give at least initial support to the hypothesis that some non-human animals actually suffer from the limitations previously identified. Full article

It has been argued that the approximate number system (ANS) constitutes a problem for the grounded approach to cognition because it implies that some conceptual tasks are performed by non-perceptual systems. The ANS is considered non-perceptual mainly because it processes stimuli from different modalities. Jones (2015) has recently argued that this system has many features (such as being modular) which are characteristic of sensory systems. Additionally, he affirms that traditional sensory systems also process inputs from different modalities. This suggests that the ANS is a perceptual system and therefore it is not problematic for the grounded view. In this paper, I defend the amodal approach to the ANS against these two arguments. In the first place, perceptual systems do not possess the properties attributed to the ANS and therefore these properties do not imply that the ANS is perceptual. In the second place, I will propose that a sensory system only needs to be dedicated to process modality-specific information, which is consistent with responding to inputs from different modalities. I argue that the cross-modal responses exhibited by traditional sensory systems are consistent with modality-specific information whereas some responses exhibited by the ANS are not. Full article

In a two-system theory for mind-reading, a flexible system (FS) enables full-blown mind-reading, and an efficient system (ES) enables early mind-reading. Efficient processing differs from flexible processing in terms of restrictions on the kind of input it can take and the kinds of mental states it can ascribe (output). Thus, systems are not continuous and each relies on different representations: the FS on beliefs and other propositional attitudes, and the ES on belief-like states or registrations. There is a conceptual problem in distinguishing the representations each system operates with. They contend that they can solve this problem by appealing to a characterization of registrations based on signature limits, but this does not work. I suggest a solution to this problem. The difference between registration and belief becomes clearer if each vehicle turns out to be different. I offer some reasons in support of this proposal related to the performance of spontaneous-response false belief tasks. Full article

Santiago Ramón y Cajal, the primary architect of the neuron doctrine and the law of dynamic polarization, is considered to be the founder of modern neuroscience. At the same time, many philosophers, historians, and neuroscientists agree that modern neuroscience embodies a mechanistic perspective on the explanation of the nervous system. In this paper, I review the extant mechanistic interpretation of Cajal’s contribution to modern neuroscience. Then, I argue that the extant mechanistic interpretation fails to capture the explanatory import of Cajal’s law of dynamic polarization. My claim is that the definitive formulation of Cajal’s law of dynamic polarization, despite its mechanistic inaccuracies, embodies a non-mechanistic pattern of reasoning (i.e., design explanation) that is an integral component of modern neuroscience. Full article

The use of new paradigms of false belief tasks (FBT) allowed to reduce the age of children who pass the test from the previous 4 years in the standard version to only 15 months or even a striking 6 months in the nonverbal modification. These results are often taken as evidence that infants already possess an—at least implicit—theory of mind (ToM). We criticize this inferential leap on the grounds that inferring a ToM from the predictive success on a false belief task requires to assume as premise that a belief reasoning is a necessary condition for correct action prediction. It is argued that the FBT does not satisfactorily constrain the predictive means, leaving room for the use of belief-independent inferences (that can rely on the attribution of non-representational mental states or the consideration of behavioral patterns that dispense any reference to other minds). These heuristics, when applied to the FBT, can achieve the same predictive success of a belief-based inference because information provided by the test stimulus allows the recognition of particular situations that can be subsumed by their ‘laws’. Instead of solving this issue by designing a single experimentum crucis that would render unfeasible the use of non-representational inferences, we suggest the application of a set of tests in which, although individually they can support inferences dissociated from a ToM, only an inference that makes use of false beliefs is able to correctly predict all the outcomes. Full article

The epistemological rupture of Copernicus, the laws of planetary motions of Kepler, the comprehensive physical observations of Galileo and Huygens, the conception of relativity, and the physical theory of Newton were components of an extremely fertile and influential cognitive environment that prompted the restless Leibniz to shape an innovative theory of space and time. This theory expressed some of the concerns and intuitions of the scientific community of the seventeenth century, in particular the scientific group of the Academy of Sciences of Paris, but remained relatively unknown until the twentieth century. After Einstein, however, the relational theory of Leibniz gained wider respect and fame. The aim of this article is to explain how Leibniz foresaw relativity, through his critique of contemporary mechanistic philosophy. Full article

The main objective of this paper is to show that perceptual conceptualism can be understood as an empirically meaningful position and, furthermore, that there is some degree of empirical support for its main theses. In order to do this, I will start by offering an empirical reading of the conceptualist position, and making three predictions from it. Then, I will consider recent experimental results from cognitive sciences that seem to point towards those predictions. I will conclude that, while the evidence offered by those experiments is far from decisive, it is enough not only to show that conceptualism is an empirically meaningful position but also that there is empirical support for it. Full article

In this paper, I review the main criteria offered for distinguishing the modal and amodal approaches to conceptual format: the type of input to which the representations respond, the relation they bear to perceptual states, and the specific neural systems to which they belong. I evaluate different interpretations of them and argue that they all face difficulties. I further show that they lead to cross-classifications of certain types of representations, using approximate number representations as an example. Full article

Feeling empathy is something that happens, an experience we can remember once we have had it, or an experience we would like to have. I consider empathy, from an integral point of view (i.e., cognitive and emotive aspects are part of empathy), as the capacity of putting oneself in the place of others. Although, by this time, my general characterization of empathy will not be discussed, I will focus on one question about empathy for which there is still no agreement: whether the emotion of the person experiencing empathy must be identical or not to the emotion felt by the person being empathized with. The aim of this work is, firstly, to reduce the four possibilities about the relationship between the empathizer’s emotion and the emotion felt by the person who is the target of empathy to two exhaustive and exclusive views: (1) the idea of identity of emotions between the empathizer and the target and (2) the point of view of the congruence of emotions between the empathizer and the target, both being cases of personal emotional experiences. Secondly, I suggest that these possibilities may make up an exclusive disjunctive argument, showing that problems with the first part of the argument or the premise would lead us to accept the second part: to feel empathy we do not need to feel exactly the same emotion that the object of empathy feels. Full article

There is a long-standing discussion concerning the nature of moral discourse. Multiple views range from realism—according to which moral discourse is closer to scientific discourse than to fictional discourse—to anti-realism—according to which moral discourse is rather closer to fictional discourse. In this paper, I want to motivate a novel anti-realist account. On this view, there are no moral properties or truths, neither mind-independent nor mind-dependent ones (i.e., anti-realism). However, moral cognition results from the use of higher order cognitive abilities with enough resources to grant moral discourse with all the features of a realist talk (i.e., cognitive quasi-realism). I defend this view based on empirical evidence on human moral development and by showing that the resulting account can meet the demands of robust moral realism. The paper concludes by placing the proposed view within the metaethical landscape by comparing it against other forms of anti-realism, most significantly against expressivism. Full article

Despite Georg W.F. Hegel’s claim that “philosophy, at any rate, always comes too late” because, like the owl of Minerva, it “begins its flight only with the onset of dusk” [1] (p. 23), and beyond the contextual and contingent issues that might contribute to its return in auge,1 there exist important theoretical reasons to consider the question “why Hegel now and again?” still legitimate and current.[...] Full article

It is plausible to think that, in order to actively employ models in their inquiries, scientists should be aware of their existence. The question is especially puzzling for realists in the case of abstract models, since it is not obvious how this is possible. Interestingly, though, this question has drawn little attention in the relevant literature. Perhaps the most obvious choice for a realist is appealing to intuition. In this paper, I argue that if scientific models were abstract entities, one could not be aware of them intuitively. I deploy my argumentation by building on Chudnoff’s elaboration on intuitive awareness. Furthermore, I shortly discuss some other options to which realists could turn in order to address the question of awareness. Full article

Justification logics are constructive analogues of modal logics. They are often used as epistemic logics, particularly as models of evidentialist justification. However, in this role, justification (and modal) logics are defective insofar as they represent justification with a necessity-like operator, whereas actual evidentialist justification is usually probabilistic. This paper first examines and rejects extant candidates for solving this problem: Milnikel’s Logic of Uncertain Justifications, Ghari’s Hájek–Pavelka-Style Justification Logics and a version of probabilistic justification logic developed by Kokkinis et al. It then proposes a new solution to the problem in the form of a justification logic that incorporates the essential features of both a fuzzy logic and a probabilistic logic. Full article