Bermúdez identifies the “Interface Problem” as the central problem in the philosophy of psychology: how commonsensical psychological explanations can be integrated with lower-level explanations? In particular, since folk psychology is meant to provide causal explanations on a par with, say, neurobiological explanations, the question of how to understand the relation between the two layers arises naturally. Donald Davidson claimed that the interface problem is actually ill-posed and put forward his version of the “Autonomy Picture”, the view known as anomalous monism. (...) This work reviews Davidson’s proposal in the light of digital universes: we model the key claims of the theory using cellular automata and show that Davidson’s original version of the Autonomy Picture is immune to two arguments against autonomy. (shrink)

A phenomenon resulting from a computationally irreducible (or computationally incompressible) process is supposedly unpredictable except via simulation. This notion of unpredictability has been deployed to formulate recent accounts of computational emergence. Via a technical analysis, I show that computational irreducibility can establish the impossibility of prediction only with respect to maximum standards of precision. By articulating the graded nature of prediction, I show that unpredictability to maximum standards is not equivalent to being unpredictable in general. I conclude that computational irreducibility (...) fails to fulfill its assigned philosophical roles in theories of computational emergence. (shrink)

We present a series of proof systems for exact entailment (i.e. relevant truthmaker preservation from premises to conclusion) and prove soundness and completeness. Using the proof systems, we observe that exact entailment is not only hyperintensional in the sense of Cresswell but also in the sense recently proposed by Odintsov and Wansing.

Studying the origin of semiosis is a task obscured by terminological and metaphysical issues which create an ambiguous set of definitions for biosemiotics when referring to the concept of emergence. The question is, how emergent can semiosis be? And what are the conditions for semiosis to be an emergent of a certain type? This paper will attempt to briefly deal with the general terminology of emergence from a philosophical point of view and will discuss the characterization of semiosis as an (...) emergent phenomenon based on the distinctions made by Bedau, Kim and Chalmers. Accordingly, we will consider the possibility of strong and weak emergence in an attempt to bring some clarity to what it means for something in biosemiotics to be an emergent and how the philosophical concepts play out when applied to biosemiotic research. In inquiring into the metaphysical status of semiosis, we change our semiotic theories to correspond to the assumptions contained in the elementary objects of our theories. This being the case, the way semiosis–the constitutive element that it is for semiotics–is taken to be with regards to its possible ontology, will conduct to different research objects for the long-term investigation of its origins and necessary conditions. (shrink)

Varela, Thompson, and Rosch illustrated their original presentation of the enactive theory of cognition with the example of a simple cellular automaton. Their theory was paradigmatically anti-computational, and yet automata similar to the one that they describe have typically been used to illustrate theories of computation, and are usually treated as abstract computational systems. Their use of this example is therefore puzzling, especially as they do not seem to acknowledge the discrepancy. The solution to this tension lies in recognizing a (...) hidden background assumption, shared by both Varela, Thompson, and Rosch and the computational theories of mind which they were responding to. This assumption is that computation requires representation, and that computational states must bear representational content. For Varela, Thompson, and Rosch, representational content is incompatible with cognition, and so from their perspective the automaton that they describe cannot, despite appearances, be computational. However, there now exist several accounts of computation that do not make this assumption, and do not characterize computation in terms of representational content. In light of these recent developments, we will argue that it is quite straightforward to characterize the enactive automaton as a non-representational computing mechanism, one that we do not think they should have any objections to. (shrink)

This manuscript focuses on a problem for Millian Russellianism raised by Fine : “[Assuming] that we are in possession of the information that a Fs and the information that a Gs, it appears that we are sometimes justified in putting this information ‘together’ and inferring that a both Fs and Gs. But how?” It will be my goal to determine a Millian-Russellian solution to this problem. I will first examine Nathan Salmon’s Millian-Russellian solution, which appeals to a non-semantic and subjective (...) notion of coordination defined in terms of guises. I will object that in order to convincingly solve a specific version of Fine’s problem, identity conditions for guises must be provided. On the other hand, the most plausible way to individuate guises is by means of the equivalence classes of coordination itself. But, if so, the guise-based strategy to solve Fine’s problem risks being circular; in addition, there are serious doubts that coordination is transitive. An alternative Millian-Russellian solution to Fine’s problem will then be explored, which gives up guises and employs, instead, a non-semantic and subjective relation of coordination not defined in terms of guises, along with occurrences of Russellian propositions of a special sort, for which identity conditions will be provided and via which token attitude states intuitively more fine-grained than guises will be individuated. (shrink)

We address an argument by Floridi (Synthese 168(1):151–178, 2009; 2011a), to the effect that digital and analogue are not features of reality, only of modes of presentation of reality. One can therefore have an informational ontology, like Floridi’s Informational Structural Realism, without commitment to a supposedly digital or analogue world. After introducing the topic in Sect. 1, in Sect. 2 we explain what the proposition expressed by the title of our paper means. In Sect. 3, we describe Floridi’s argument. In (...) the following three sections, we raise three difficulties for it, (i) an objection from intuitions: Floridi’s view is not supported by the intuitions embedded in the scientific views he exploits (Sect. 4); (ii) an objection from mereology: the view is incompatible with the world’s having parts (Sect. 5); (iii) an objection from counting: the view entails that the question of how many things there are doesn’t make sense (Sect. 6). In Sect. 7, we outline two possible ways out for Floridi’s position. Such ways out involve tampering with the logical properties of identity, and this may be bothersome enough. Thus, Floridi’s modus ponens will be our (and most ontologists’) modus tollens. (shrink)

Digital physics claims that the entire universe is, at the very bottom, made out of bits; as a result, all physical processes are intrinsically computational. For that reason, many digital physicists go further and affirm that the universe is indeed a giant computer. The aim of this article is to make explicit the ontological assumptions underlying such a view. Our main concern is to clarify what kind of properties the universe must instantiate in order to perform computations. We analyse the (...) logical form of the two models of computation traditionally adopted in digital physics, namely, cellular automata and Turing machines. These models are computationally equivalent, but we show that they support different ontological commitments about the fundamental properties of the universe. In fact, cellular automata are compatible with a rather traditional form of physicalism, whereas Turing machines support a dualistic ontology, which could be understood as a realism about the laws of nature or, alternatively, as a kind of panpsychism. (shrink)

The principle of Information Conservation or Determinism is a governing assumption of physical theory. Determinism has counterfactual consequences. It entails that if the present were different, then the future would be different. But determinism is temporally symmetric: it entails that if the present were different, the past would also have to be different. This runs contrary to our commonsense intuition that what has happened in the future depends on the past in a way the past does not depend on the (...) future. To understand how this can be so we observe that while the truth of some counterfactuals is guaranteed by the laws of logic or the laws of nature, some are not. It is among the latter contingent, counterfactuals that we find temporal asymmetry. It is this asymmetry that gives causation a temporal direction. The temporal asymmetry of these counterfactuals is explained by the fact that the dynamical laws of nature are logically irreversible functions from partial states of the world onto other partial states. (Logical reversibility is not to be confused, though it too often is, with time-reversal invariance). Though these irreversible laws are locally indeterministic, they can sum to give a globally deterministic description of the world. This combination of global determinism and local indeterminism gives rise to contingent counterfactual dependence and gives that dependence a direction. That direction is independent of the direction of entropy. The direction of contingent counterfactual dependence is time's arrow. (shrink)