Majid D. Beni

Can the abstract entities be designated? While the empiricists usually took the positive answer to this question as the first step toward Platonism, in his ``Empiricism, Semantics, and Ontology’’ [Carnap 1950], Carnap tried to make a reconciliation between the language referring to abstract entities on the one hand, and empiricism on the other. In this paper, firstly, I show that the ingenuity of Carnap’s approach notwithstanding, it is prone to criticism from different aspects. But I also show how, even without leaving the empiricist research program, the shortcomings could be amended. Following Carnap’s 1950 outset, and adding some apparently untasteful (Meinongian) ingredients, I will sketch a refined way for dealing with the problem of existence of abstract entities within the framework of the philosophy of empiricism.

ABSTRACTLadyman and Ross’s account of the metaphysical component of ontic structural realism was associated with a unificationist view of the connection between fundamental physics and special sciences. The aim of the present article is to assess the sense of unification that is at issue in Ladyman and Ross’s definition of metaphysics. Given the ontic core of Ladyman and Ross’s version of structural realism, it should be assumed that the unifying endeavour is worthwhile only if the connective links that underpin unification are metaphysically significant. Ladyman and Ross employed information-theoretic notions, e.g. ‘projectibility’, to account for the significance of real patterns, which underpin unification. I build upon McAllister’s engagements with the same topic, to argue that these notions fail to accomplish this objective.

In this paper, inspired by the late twentieth century developments in philosophy of science, I propose an ontological scheme to accommodate the scientifically-informed anti-substantivalist views of the self. I call the position structural realist theory of the self. More specifically, I argue that SRS provides a middle ground for bringing a metaphysical reconciliation between the two recurring, and apparently competing forms of such anti-substantivalist views, i.e., eliminativism and pluralism. The notion of the structural self, as the underpinning pattern that is the subject of the ontological commitments in SRS, is not as cumbersome as the orthodox substantivalist notion, and yet accounts for the relation of the different aspects and elements of the self by integrating them structurally into a central unifying pattern of selfhood. I use the experimental studies of Northoff et al. about the processing of the self-related stimuli in the cortical midline structure of the brain, to argue that the underlying pattern of the selfhood could be sought at the level of information processing. I also add a programmatic suggestion about how the different situated, experiential and extended aspects of the selfhood could be structurally incorporated into this underlying pattern.

Using the theory of definite descriptions, Russell and, following him, Quine masterfully challenged Meinong’s Theory of Objects (TO). In this paper, firstly I try to show that although the Russell-Quine’s interpretation of TO has been taken seriously even by many notable Neo-Meinongians and first-rate scholars, yet it is not the ultimately convincing reading of the Theory, at least not when we boil down the theory to Meinong’s primary motives and his essential arguments. Moreover, I show that a form of the indispensability argument is the backbone of Meinong’s theory. The argument is surprisingly akin to what Quine proposed for his realism with regard to the existence of mathematical entities. Consequently, I argue that mathematics plays an important role in Meinong’s argument and hence his overall theory. I believe that in this way the debate between Meinongian and Quinean can be directed to more compromising and fruitful grounds.

The paper surveys Floridi’s attempt for laying down informational structural realism. After considering a number of reactions to the pars destruens of Floridi’s attack on the digital ontology, I show that Floridi’s enterprise for enriching the ISR by borrowing elements from the ontic form of structural realism is blighted by a haunting inconsistency. ISR has been originally developed by Floridi as a restricted and level dependent form of structural realism which remains mainly bonded within the borders of a Kantian perspective. I argue that this perspective doesn’t mesh nicely with the ontic interpretation that Floridi attached to the ISR. I substantiate this claim through the assessment of Floridi’s strategy for reconciling the epistemic and ontic forms of the SR, as well as by close examination of his use of method of levels of abstraction and his notion of semantic information. My proposal is that the ISR could be defended best against the mentioned and similar objections by being interpreted as an extension of the epistemic SR.

In this paper I am advocating a structuralist theory of mental representation. For a structuralist theory of mental representation to be defended satisfactorily, the naturalistic and causal constraints have to be satisfied first. The more intractable of the two, i.e., the naturalistic constraint, indicates that to account for the mental representation, we should not invoke “a full-blown interpreting mind”. So, the aim of the paper is to show how the naturalistic and causal constraints could be satisfied. It aims to offer a strategy for grounding the structure of the mental representations in nature. The strategy that I offer is inspired by Marcello Barbieri’s code model of biosemiotics.

In his Analysis of Matter, Russell advocated an epistemic form of Epistemic Structural Realism which held that our knowledge of the external world is structural. This approach has been criticised by M.H.A. Newman, 137–148, 1928) and Stathis Psillos, S13–S24, 2001). The paper aims to reconstruct Russell’s version of ESR, and defend its experimental and philosophical plausibility. The basic assumption is that without getting a viable experimental handle on the linkage between the structure of perceptions and causal structure of the stimuli, the so called upward path to SR couldn’t be defended conclusively. In this vein, the paper explores the resources of the recent experimental theories of perception. These help establishing a structuralist account of the perception, and provide an account for the causal linkage between the structure of perceptions and the structure of the stimuli. I argue that it is possible to settle for objectivity of this linkage according to the criteria of comprehensiveness, simplicity, and above all rationality, in a way that meets the standards of the scientific realists.

The paper proposes a way to naturalise Charles S. Peirce’s conception of the scientific method, which he specified in terms of abduction, deduction and induction. The focus is on the central issue of the economy of research in abduction and self-correction by error reduction in induction. We show how Peirce’s logic of science receives support from modern breakthroughs in computational neuroscience, and more specifically from Karl Friston’s statements of active inference and the Free Energy Principle, namely the account of how organisms’ capacity to decrease the discrepancy between the expected value and actual outcomes entails the minimisation of errors in their hypotheses about the world. A scientific account of organisms’ capacity to choose policies and form expectations is aligned with Peirce’s theories of abduction and induction, and especially with the economy of research. The upshot is the recovery of Peirce’s theory of the logic of science in the context of active inquiry.

Inspired by Ronald Giere’s cognitive approach to scientific models, Cognitive Structural Realism has presented a naturalist account of scientific representation. CSR characterises the structure of theories in terms of cognitive structures. These are informational structures embodied in the brains of scientists. CSR accounts for scientific representation in terms of the dynamical relationship between the organism and its environment. The proposal has been criticised on account of its negligence of social aspects of scientific practice. The present paper aims to chart out a reply to the objection. It shows that cognitive structures do not need to be put inside the brains of single individuals. Cognitive structures are redefined as extended structures in distributed cognitive systems under Free Energy Principle.

In this book, the author develops a new form of structural realism and deals with the problem of representation. The work combines two distinguished developments of the Semantic View of Theories, namely Structural Realism, a flourishing theory from contemporary philosophy of science, and Ronald Giere and colleagues’ Cognitive Models of Science approach. Readers will see how replacing the model-theoretic structures that are at issue in SR with connectionist networks and activations patterns helps us to deal with the problem of representation. The author suggests that cognitive structures are not only the precise formal tools for regimenting the structure of scientific theories but also the tools that the biological brain uses to capture the essential features of its environment. Therefore, replacing model-theoretic structures with cognitive structures allows us to account for the theories-reality relationship on the basis of the most reliable theories of neurology. This is how a new form of SR, called Cognitive Structural Realism is introduced through this book, which articulates and defends CSR, and shows how two diverging branches of SVT can be reconciled. This ground-breaking work will particularly appeal to people who work in the philosophy of science, philosophy of mind and cognitive sciences.

Luciano Floridi’s informational structural realism takes a constructionist attitude towards the problems of epistemology and metaphysics, but the question of the nature of the semantical component of his view remains vexing. In this paper, I propose to dispense with the semantical component of ISR completely. I outline a Syntactical version of ISR. The unified entropy-based framework of information has been adopted as the groundwork of SISR. To establish its realist component, SISR should be able to dissolve the latching problem. We have to be able to account for the informational structures–reality relationship in the absence of the standard semantical resources. The paper offers a pragmatic solution to the latching problem. I also take pains to account for the naturalistic plausibility of this solution by grounding it in the recent computational neuroscience of the predictive coding and the free energy principle.

Building upon Brentano’s Psychology from an empirical standpoint. Routledge, London, [1874] Brentano 1995) reintroduction of the concept of intentionality to the contemporary philosophy, Tim Crane has famously presented the intentionality as the mark of the mental. Accordingly, the problem of “intentional existence” has resurfaced in Crane’s revival of the Brentanoian theme. Here, I revise Crane’s construal of Brentano’s notion of intentional inexistence and reinterpret it in terms of a moderate version of relationalism. My relationalist theory of intentionality is inspired by what goes by the name of Noneliminativist Structural Realism in the contemporary philosophy of science. NSR allows for a robust realist interpretation of the role of scientific models. The underlying insight of the paper is that it is best to be realist about the structure of the intentionality, which is the common element of the diverse theories of intentional objects. The Outcome is Structural Realist theory of Intentionality. I argue that SRI is not liable to the notorious objection of the impossibility of relata-less relations. I conclude that SRI fulfils the goal of robust psychological realism more economically and straightforwardly than Crane’s application of the notion of models.

Benacerraf has presented two problems for the philosophy of mathematics. These are the problem of identification and the problem of representation. This paper aims to reconstruct the latter problem and to unpack its undermining bearing on the version of Ontic Structural Realism that frames scientific representations in terms of abstract structures. I argue that the dichotomy between mathematical structures and physical ones cannot be used to address the Benacerraf problem but strengthens it. I conclude by arguing that versions of OSR that do not rely on mathematical frameworks for representational purposes need not be vulnerable to Benacerraf’s second problem.

We offer to extend structural realism into the field of mind and brain studies. The naturalised metaphysics of structural realism has been defined in terms of unification of sciences. The unification program has been carried out nicely in fields of Quantum Mechanics and General Relativity. But for the structural realist metaphysics to receive a recommendation, the unification program needs to be extended to the fields of especial sciences. Our aim in the paper is twofold. On the one hand, we present a structural realist theory of the brain that is well-supported by the best theories of computational neurosciences. On the other hand, and at the same time, we provide further reason for being optimistic about the structural realism metaphysical claim which is based on the idea of unification in sciences.

The paper aims to provide a detailed assessment of Tim Crane’s recent invocation of the notion of scientific models in the way of dealing with the issue of the brain’s representational states. In this paper, I assess Crane’s proposal under a charitable and a less charitable reading. I argue that Crane’s use of scientific models is at best compatible with his expression of psychological realism. However, Crane’s use of model-based strategy by no means underlay, support, or strengthen his psychological realism. Rather, traditional reasons from the metaphysics of mind, acting quite separately from empirical scientific reasons, must be used to support this realism, and Crane has merely removed the threat posed to these metaphysical arguments by the existence of the so-called mereological fallacy in empirical neuroscience. Therefore, while he has saved the neuroscientific language from philosophical attack, he has perhaps even strengthened the divide between neuroscience and philosophy. I conclude the paper by outlining the sketch of a broadbrush scientifically informed strategy for defending psychological realism.

The paper outlines a structuralist unification between two existing relational theories of the self, i.e., Beni's Structural Realist theory of the Self and Gallese's Embodied Relational Self. Each one of these theories provides a structuralist account of some aspects of the self but leaves out some other aspects which are indispensable to a comprehensive account of the self. SRS accounts for the reflective aspects of the self, and ERS accounts for the environmental and social aspects of the self. In this paper, I argue that when paired with one another, SRS and ERS could amend one another's shortcomings, without giving way to a non-relational conception of the self. I draw on neurology of the connection between Cortical Midline Structures and the mirror neuron system to inform my unifying proposal. I also show that an informational framework can underlie the union.

Probabilistic realism and syntactical positivism were two among outdated theories that Feigl criticised on account of their semantical poverty. In this paper, I argue that a refined version of probabilistic realism, which relies on what Feigl specified as the pragmatic description of the symbolic behaviour of scientists’ estimations and foresight, is defendable. This version of statistical realism does not need to make the plausibility of realist thesis dependent on the conventional acceptance of a constructed semantic metalanguage. I shall rely on the Prediction Error Minimisation theory to support my probabilistic version of realism with a scientifically-informed and naturalistically plausible statistical account of the theories-world relationship which has a pragmatic ring to it.

The paper draws on scientific resources formed around the notion of Free Energy Principle to reconstruct two well-known defences of panpsychism. I reconstruct the argument from continuity by expanding the mind-life continuity thesis under the rubric of the Free Energy Principle (FEP), by showing that FEP does not provide an objective criterion for demarcating the living from the inanimate. Then I will reconstruct the argument from intrinsic nature. The FEP-based account of consciousness is centred on the notion of ‘temporal depth’ of generative models. I argue that even evolution can be modelled as a temporally deep system. Since we have no access to the intrinsic perspective of evolution to see whether or not it models itself as a temporally deep system, we must draw an analogy from our own case and conclude that evolution is consciousness involving. Thus the paper reconstructs two main arguments for panpsychism.

This paper addresses John Searle's criticism of the integrated information theory of consciousness. Among other things, Searle claimed that, since information is a syntactic notion, IITC cannot account for the content of consciousness. He also argued that IITC cannot explain consciousness in causal terms. In this paper, I demonstrate that the original formulation of IITC is compatible with a structuralist reading. After that, I explain how a structuralist reconstruction of IITC could deal with the objections that Searle raised. Among other things, I argue that IITC could provide genuine scientific explanations of consciousness, but the explanations are to be presented in structural, rather than causal, terms.

Free Energy Principle underlies a unifying framework that integrates theories of origins of life, cognition, and action. Recently, FEP has been developed into a Markovian monist perspective. The paper expresses scepticism about the validity of arguments for Markovian monism. The critique is based on the assumption that Markovian models are scientific models, and while we may defend ontological theories about the nature of scientific models, we could not read off metaphysical theses about the nature of target systems from our theories of nature of scientific models. The paper draws attention to different ways of understanding Markovian models, as material entities, fictional entities, and mathematical structures. I argue that none of these interpretations contributes to the defence of a metaphysical stance. This is because scientific representation is a sophisticated process, and properties of Markovian models—such as the property of being neither physical nor mental—could not be projected onto their targets to determine the ontological properties of targets easily.

The background target of the research going into the present article is to forge an intellectual alliance between, on the one hand, active inference and the free-energy principle (FEP), and on the other, Charles S. Peirce’s theory of semiotics and pragmatism. In the present paper, the focus is on the allegiance between the nomenclatures of active and abductive inferences as the proper place to begin reaching at that wider target. The paper outlines the key conceptual elements involved in a naturalistic rendering of Peirce’s late semiotic and logical notion of abductive reasoning. The target is a cognitive-biological model of abduction which preserves the functional integrity of an organism and fulfils the existential imperative for living beings’ evidence of existence. Such a model is an adaptation of Peirce’s late logical schema of abduction proposed in his largely unpublished works during the early 20th century. The proposed model is argued to be a feasible sketch also of recent breakthroughs in computational (sensu Bayesian) cognitive science.

Marcello Barbieri has presented code biology as an alternative to the Peircean approach to biosemiotics. Some critics questioned the viability of code biology on grounds that Barbieri’s conception of science is limited. It has been argued that code biology’s mechanistic tendency is the cause of the allegedly limited conception of science. In this paper, I evaluate the scientific viability of the code model from the perspective of scientific realism in the philosophy of science. To be more precise, I draw on resources of the mechanistic view in philosophy to argue that far from harbouring a limited conception of science, code biology could indeed improve the scientific prospects of biosemiotics. I show that the mechanistic and model-based tendency of the code model enhances its vigour as a full-blooded scientific approach to the study of meaning in living systems. To consolidate my claim, I draw on some recent debates in the mechanistic philosophy to argue that even relational approaches to understanding the meaning in living systems—such as an approach that is defended by Vega in a recent paper—could be underpinned by mechanistic processes at a foundational level.

The relationship between Carnap’s Logical Syntax of Language and Wittgenstein’s Tractatus Logico-Philosophicus has been interpreted in several ways during past decades. One of the interpretations has gained keen advocates among Carnap scholars. It was originally provoked by what Caranp said in LSL, and it consists of two parts. First, it indicates that in TLP the possibility of speaking about the logical form of a language within the same language had been foresworn by Wittgenstein, but Carnap proved him wrong by producing a book written exactly in the manner which had been proscribed by Wittgenstein. This is the debate about the possibility of speaking about logical form. Second, Wittgenstein’s dogmatism with regard to the existence of a unique correct grammar at the foundation of the language has been contrasted with Carnap’s open-mindedness in conceiving a boundless ocean of possibilities for constructing logical systems. Interestingly enough, Wittgenstein rambled with rage in reaction to Carnap’s view about the LSL-TLP relationship. But unlike Carnap’s view, which led to a dominant interpretation of the relationship, Wittgenstein’s testimony about the case has been strangely ignored in the history of analytic philosophy. In this paper, I try to make an inquiry about the grounds for Wittgenstein’s dissatisfaction with the Carnapian reading of the LSL-TLP relationship. I will show that Wittgenstein was not totally unfair in his judgment, and that some salient aspects of LSL could be best understood in the light, or rather the gloom, of TLP, and bear a significant resemblance to it. This, however, does not need to diminish the logical and historical significance of LSL.

Richard Levins’s (Am Sci 54(4):421–431, 1966) paper sets a landmark for the significance of scientific model-making in biology. Colombo and Palacios (Biol Philos 36(5):1–26. 10.1007/s10539-021-09818-x, 2021) have recently built their critique of the explanatory power of the Free Energy Principle on Levins’s insight into the relationship between generality, realism, and precision. This paper addresses the issue of the plausibility of biological explanations that are grounded in the Free Energy Principle (FEP) and deals with the question of the realist fortitude of FEP’s theoretical framework. It indicates that what is required for establishing the plausibility of the explanation of a target system given a model of that system is the dosage or the harmony between the generality and accuracy of explanatory models. This would also provide a basis for seeing how scientific realism could be a viable option with respect to FEP.

ABSTRACT The debate between proponents and opponents of causal foundationalism has recently surfaced as a disparity between causal structuralism and causal anti-foundationalism in the structural realist camp. The paper outlines and dissolves the problem of disparity for structural realism. I follow John Collier to specify causation in terms of the transmission of information. Unlike them, I built upon the reverse quantum data-processing inequality to show how this approach models causation as a symmetric process at the level of fundamental physics. I show how this suggestion reduces the disparity about causation to a problem of application to diverse contexts.

The paper aims to evaluate the success of two different philosophical interpretations of prediction error minimisation theory in dissolving a notorious problem of philosophy, i.e., the New Evil Demon Problem. In this paper, I argue that the inferentialist interpretation could not dissolve the strong form of ned. Alternatively, the embodied construaldissolves ned. However, in doing so, i.e., in dispensing with the cognitive judgment, the embodied construal might also eliminate some basic concepts of epistemology.

This paper draws on the resources of computational neuroscience (an account of active inference under the free energy principle) to address Bas van Fraassen's bad lot objection to the inference to the best explanation (IBE). The general assumption of this paper is that IBE is a finessed form of active inferences that self-organising systems perform to maximise the chance of their survival. Under this assumption, the paper aims to establish the following points: first, the capacity to learn to perform explanatory inferences comes with evolutionary privileges; second, adaptive actions guide beliefs and beliefs are action-oriented; and third, IBE is not inconsistent with (approximate) Bayesianism but plays a heuristic role to it.

In his Analysis of Matter, Russell advocated an epistemic form of Epistemic Structural Realism which held that our knowledge of the external world is structural. This approach has been criticised by M.H.A. Newman, 137–148, 1928) and Stathis Psillos, S13–S24, 2001). The paper aims to reconstruct Russell’s version of ESR, and defend its experimental and philosophical plausibility. The basic assumption is that without getting a viable experimental handle on the linkage between the structure of perceptions and causal structure of the stimuli, the so called upward path to SR couldn’t be defended conclusively. In this vein, the paper explores the resources of the recent experimental theories of perception. These help establishing a structuralist account of the perception, and provide an account for the causal linkage between the structure of perceptions and the structure of the stimuli. I argue that it is possible to settle for objectivity of this linkage according to the criteria of comprehensiveness, simplicity, and above all rationality, in a way that meets the standards of the scientific realists.