Our target article proposed that language production and comprehension are interwoven, with speakers making predictions of their own utterances and comprehenders making predictions of other people's utterances at different linguistic levels. Here, we respond to comments about such issues as cognitive architecture and its neural basis, learning and development, monitoring, the nature of forward models, communicative intentions, and dialogue.

The ability to process events in their temporal and sequential context is a fundamental skill made mandatory by constant interaction with a dynamic environment. Sequence learning studies have demonstrated that subjects exhibit detailed — and often implicit — sensitivity to the sequential structure of streams of stimuli. Current connectionist models of performance in the so-called Serial Reaction Time Task (SRT), however, fail to capture the fact that sequence learning can be based not only on sensitivity to the sequential associations (...) between successive stimuli, but also on sensitivity to the associations between successive responses, and on the predictive relationships that exist between these sequences of responses and their effects in the environment. In this paper, we offer an initial exploration of an alternative architecture for sequence learning, based on the principles of Forward Models. (shrink)

At the core of Pickering & Garrod's (P&G's) theory is a monitor that uses forward models. I argue that this account is challenged by neuropsychological findings and visual world eye-tracking data and that it has two conceptual problems. I propose that conflict monitoring avoids these issues and should be considered a promising alternative to perceptual loop and forward modeling theories.

Pickering & Garrod (P&G) consider the possibility that inner speech might be a product of forward production models. Here I consider the idea of inner speech as a forward model in light of empirical work from the past few decades, concluding that, while forward models could contribute to it, inner speech nonetheless requires activity from the implementers.

Open peer commentary on the article ““Black Box” Theatre: Second-Order Cybernetics and Naturalism in Rehearsal and Performance” by Tom Scholte. Upshot: My aim is to show that “truthful” acting that emerges through improvisation is equivalent to the development of mutual forward models in the actors. If these models match those of the audience members, this is perceived as “truthful.”.

The project of coordinating perception, comprehension, and motor control is an exciting one, but I found it hard to follow some of Pickering & Garrod's (P&G's) arguments as presented. Consequently, my comment is not so much a disagreement with P&G but a query about the logic of forward models: It is not clear how they are supposed to work, nor why they are needed in this (or many other) contexts, and toward that end I present an alternative idea.

The fundamental cognitive problem for active organisms is to decide what to do next in a changing environment. In this article, we analyze motor and action control in computational models that utilize reinforcement learning (RL) algorithms. In reinforcement learning, action control is governed by an action selection policy that maximizes the expected future reward in light of a predictive world model. In this paper we argue that RL provides a way to explicate the so-called action-oriented views of cognitive systems (...) in representational terms. (shrink)

The general applicability of forward models in brain function has previously been recognized. Grush's contribution centers largely on broadening the extent and scope of forward models. However, in his effort to expand and generalize, important distinctions may have been overlooked. A better grounding in the underlying physiology would have helped to illuminate such valuable differences and similarities.

A model policy for conscientious objection in medicine.

This paper explores the consequences of the theoretical forward activation enzymatic pathway A 0 A 1 A 2 A 3 where E 1 convents A 0 to A 1, E 2 converts A 1 to A 2 and E 3 converts A 2 to A 3. A 0, which is environmentally determined, also serves to activate (or modulate) the activity of E 3 in such a way as to keep the concentration of A 2 ([A 2]) constant at a (...) particular set-point value. For mathematical simplicity, first order rate kinetics are used where k 1, k 2 and k 3 are the rate constants for E 1, E 2, and E 3 respectively. It is shown that if k 3 is modulated appropriately so as keep [A 2] at the setpoint value with a changing upstream [A 0], then the modulation of k 3 must be anticipatory of the dynamics of the biochemical pathway. In other words, the rate of change of k 3, will be a function of [A 0], k 1, k 2, k 3, and the set-point value of [A 2]. If the modulation of k 3 does not perfectly model (anticipate) the reaction pathway of which it is a part, then the actual [A 2] will deviate from the set-point value. This type of anticipatory feed-forward activation may represent an important aspect of biological organization. (shrink)

This paper presents the results of a Catalan project in which an academic institution acted as a practitioner to promote corporate social responsibility (CSR) in small and medium-sized enterprises (SMEs). The project involved the establishment of a working network with intermediate organisations and the creation of specific tools for the purpose. The paper is set up as a case study, emphasising inclusion, representativity and legitimacy as key elements for the successful construction of a network to promote CSR in SMEs. It (...) underlines the assumptions behind the functioning of this network and the learning findings from this public–private initiative. Presented from a public policy perspective, the paper emphasises the need for coordination in terms of the growing number of initiatives fostering CSR in SMEs. It presents a brief account of the material results, focusing on the process of creating a consensus within the network. It opens up a path for future research, exploring how network management and leadership can be seen as key issues when talking about corporate social responsibility (CSR) promotion in SMEs. (shrink)

This paper presents the results of a Catalan project in which an academic institution acted as a practitioner to promote corporate social responsibility (CSR) in small and medium-sized enterprises (SMEs). The project involved the establishment of a working network with intermediate organisations and the creation of specific tools for the purpose. The paper is set up as a case study, emphasising inclusion, representativity and legitimacy as key elements for the successful construction of a network to promote CSR in SMEs. It (...) underlines the assumptions behind the functioning of this network and the learning findings from this public–private initiative. Presented from a public policy perspective, the paper emphasises the need for coordination in terms of the growing number of initiatives fostering CSR in SMEs. It presents a brief account of the material results, focusing on the process of creating a consensus within the network. It opens up a path for future research, exploring how network management and leadership can be seen as key issues when talking about corporate social responsibility (CSR) promotion in SMEs. (shrink)

The validity of assessment programs is increasingly important in higher education. Existing approaches to assessment are problematic because they eitherfail to provide timely feedback or have suspect measurement issues. We propose a feed-forward assessment model to help overcome these two limitations oftraditional assessment approaches.

We affirm the dynamical systems approach taken by Feldman and Levin, but argue that a more mathematically rigorous and standard exposition of the model according to dynamical systems theory would greatly increase readability and testability. Such an explication would also have heuristic value, suggesting new variations of the model. We present one such variant, a new solution to the redundancy problem.

In the target article, Bowers et al. dispute deep artificial neural network (ANN) models as the currently leading models of human vision without producing alternatives. They eschew the use of public benchmarking platforms to compare vision models with the brain and behavior, and they advocate for a fragmented, phenomenon-specific modeling approach. These are unconstructive to scientific progress. We outline how the Brain-Score community is moving forward to add new model-to-human comparisons to its community-transparent suite of benchmarks.

On the implementation aspect of the Islamization of knowledge programme, there were also suggestions that my paper should provide readers with Al-Faruqi's ...

Biologists, climate scientists, and economists all rely on models to move their work forward. In this book, I explore the use of models in these and other fields to introduce readers to the various philosophical issues that arise in scientific modeling. I show that paying attention to models plays a crucial role in appraising scientific work. -/- After surveying a wide range of models from a number of different scientific disciplines, I demonstrate how focusing on (...) models sheds light on many perennial issues in philosophy of science and in philosophy in general. For example, reviewing the range of views on how models represent their targets introduces readers to the key issues in debates on representation, not only in science but in the arts as well. Also, standard epistemological questions are cast in new and interesting ways when we confront the question, "What makes for a good (or bad) model?". (shrink)

The problem of consciousness has been an issue in philosophy of mind for decades, and in recent years panpsychism and panprotopsychism have gained attention among philosophers who are still dedicated to finding a complete explanation of consciousness. In this dissertation, I criticize panpsychism and panprotopsychism by examining their metaphysical plausibility and their epistemic prospects. Concerning the metaphysical plausibility of panpsychism and panprotopsychism, I explain the “combination problem” of panpsychism and criticize several major accounts of panpsychism and panprotopsychism that aim at (...) solving this problem, including Seager’s panpsychist infusionism, Goff’s phenomenal bonding proposal, and Coleman’s panqualityism. I also examine the proposal of motivating panpsychism and panprotopsychism by drawing support from the integrated information theory (IIT) of consciousness. I argue that this proposal to merge panpsychism or panprotopsychism with IIT does not work. Concerning the epistemic prospect of panpsychism and panprotopsychism, I raise concerns about whether panpsychism and panprotopsychism can guide a fruitful research program about the nature of consciousness. First, I argue that a theory based on Russellian Monism would not have a promising epistemic prospect. I compare Russellian Monism to Thomistic Hylomorphism and argue that Russellian Monism faces similar epistemic challenges that plagued Thomistic Hylomorphism. Since most theories of contemporary panpsychism and panprotopsychism rely on the metaphysical framework of Russellian Monism, the challenges to Russellian Monism also undermine the epistemic prospects of panpsychism and panprotopsychism. Second, I challenge the epistemic prospects of panpsychism and panprotopsychism by examining if there can be a viable method to study the consciousness of micro-level entities. After revisiting the reasoning process that guided the study of atoms, I argue that studying micro-level facts requires “analogies” that compare micro-level facts with macro-level models. Then I argue that an analogy that fits the need of panpsychism or panprotopsychism is hard to achieve, because we have no macro-level models to be compared to the hypothesized systems of micro-level consciousness. (shrink)

Research on natural and artificial brains is proceeding at a rapid pace. However, the understanding of the essence of consciousness has changed slightly over the millennia, and only the last decade has brought some progress to the area. Scientific ideas emerged that the soul could be a product of the material body and that calculating machines could imitate brain processes. However, the authors of this book reject the previously common dualism—the view that the material and spiritual-psychic processes are separate and (...) require a completely different substance as their foundation. -/- Reductive Model of the Conscious Mind is a forward-thinking book wherein the authors identify processes that are the essence of conscious thinking and place them in the imagined, simplified structure of cells able to memorize and transmit information in the form of impulses, which they call neurons. The purpose of the study is to explain the essence of consciousness to the degree of development of natural sciences, because only the latter can find a way to embed the concept of the conscious mind in material brains. The book is divided into three parts. Part 1 works to convince readers that the emergence of consciousness does not require detailed knowledge of the structure and morphology of the brain, with the exception of some specific properties of the neural network structure that the authors attempt to point out. Part 2 proves that the biological structure of many natural brains fulfills the necessary conditions for consciousness and intelligent thinking. Similarly, Part 3 shows the ways in which artificial creatures imitating natural brains can meet these conditions, which gives great hopes for building artificially intelligent beings endowed with consciousness. Covering topics that include cognitive architecture, the embodied mind, and machine learning, this book is ideal for cognitive scientists, philosophers of mind, neuroscientists, psychologists, researchers, academicians, and advanced-level students. The book can also help to focus the research of linguists, neurologists, and biophysicists on the biophysical basis of postulated information processing into knowledge structures. (shrink)

Interactive theories of lexical retrieval in language production assume that activation cascades from earlier to later processing levels, and feeds back in the reverse direction. This commentary invites Pickering & Garrod (P&G) to consider whether cascading and feedback can be seen as a form of forwarding modeling within a hierarchical production system.

The field of bioethics has deployed different models of justification for particular moral judgments. The best known models are those of deductivism, casuistry, and principlism (under one, rather limited interpretation). Each of these models, however, has significant difficulties that are explored in this essay. An alternative model, suggested by the work of Henry Richardson, is presented. It is argued that specified principlism is the most promising model of justification in bioethics. Keywords: casuistry, deductivism, ethical theories, intuition principlism, (...) specified principlism, specification CiteULike Connotea Del.icio.us What's this? (shrink)

We provide eductive foundations for the concept of forward induction, in the class of games with an outside option. The formulation presented tries to capture in a static notion the rest point of an introspective process, achievable from some restricted preliminary beliefs. The former requisite is met by requiring the rest point to be a Nash equilibrium that yields a higher payoff than the outside option. With respect to the beliefs, we propose the Incentive Dominance Criterion. Players should consider (...) one action more likely than another whenever the former is better than getting the outside option for more conjectures over his rival's actions. We apply this model to the case where the subgame is a coordination game with a conflict between payoff dominance and risk dominance. Our results provide support for dominance solvability, but not for Van Damme's notion of forward induction. We show how the forward induction logic helps to select the Pareto dominant equilibrium. This is the case whenever player 1's act of giving up the outside option reverses the incentive dominance relations among 1's pure actions in the subgame. (shrink)

Mechanistic philosophy of science views a large part of scientific activity as engaged in modelling mechanisms. While science textbooks tend to offer qualitative models of mechanisms, there is increasing demand for models from which one can draw quantitative predictions and explanations. Casini et al. (Theoria 26(1):5–33, 2011) put forward the Recursive Bayesian Networks (RBN) formalism as well suited to this end. The RBN formalism is an extension of the standard Bayesian net formalism, an extension that allows for (...) modelling the hierarchical nature of mechanisms. Like the standard Bayesian net formalism, it models causal relationships using directed acyclic graphs. Given this appeal to acyclicity, causal cycles pose a prima facie problem for the RBN approach. This paper argues that the problem is a significant one given the ubiquity of causal cycles in mechanisms, but that the problem can be solved by combining two sorts of solution strategy in a judicious way. (shrink)

Predictive processing theories are increasingly popular in philosophy of mind; such process theories often gain support from the Free Energy Principle (FEP)—a nor- mative principle for adaptive self-organized systems. Yet there is a current and much discussed debate about conflicting philosophical interpretations of FEP, e.g., repre- sentational versus non-representational. Here we argue that these different interpre- tations depend on implicit assumptions about what qualifies (or fails to qualify) as representational. We deploy the Free Energy Principle (FEP) instrumentally to dis- tinguish (...) four main notions of representation, which focus on organizational, struc- tural, content-related and functional aspects, respectively. The various ways that these different aspects matter in arriving at representational or non-representational interpretations of the Free Energy Principle are discussed. We also discuss how the Free Energy Principle may be seen as a unified view where terms that tradition- ally belong to different ontologies—e.g., notions of model and expectation versus notions of autopoiesis and synchronization—can be harmonized. However, rather than attempting to settle the representationalist versus non-representationalist debate and reveal something about what representations are simpliciter, this paper demon- strates how the Free Energy Principle may be used to reveal something about those partaking in the debate; namely, what our hidden assumptions about what represen- tations are—assumptions that act as sometimes antithetical starting points in this persistent philosophical debate. (shrink)

The energy sector contributes approximately two-thirds of global greenhouse gas emissions. In this context, the sector must adapt to new supply and demand networks for all future energy sources. The ongoing transformation in the European energy field is driven by the ambition of the European Union to reach the climate objectives set for 2030. The main actions are increasing renewable energy production, adapting transition fuels like natural gas to reduce emissions, improving energy efficiency across all economic sectors, prioritizing building, transportation, (...) and industry, developing Carbon Capture and Storage technologies, and ensuring universal access to clean and affordable energy. The significant changes envisaged in the energy sector to increase renewable energy production and consumption require improved integration and more use of predictive tools to support stakeholders' decision-making processes. This article presents a case study to assess the performance of predictive models based on a Feed-Forward Neural Network architecture that employ Root Mean Squared Propagation as their optimization function in terms of choosing the most appropriate activation function for this kind of data input and output. The training and testing phases of the models use data about building energy consumption. The lowest training time and Root Mean Square Error values were similar for Rectified Linear Unit and Tanh activation functions. The model with the Rectified linear Unit activation function performed best. (shrink)

The central aim of science is to make sense of the world. To move forward as a community endeavor, sense-making must be systematic and focused. The question then is how do scientists actually experience the sense-making process? In this chapter we examine the “practice turn” in science studies and in particular how as a result of this turn scholars have come to realize that models are the “functional unit” of scientific thought and form the center of the reasoning/sense-making (...) process. This chapter will explore a context-dependent view of models and modeling in science. From this analysis we present a framework for delineating the different aspects of model-based reasoning and describe how this view can be useful in educational settings. This framework highlights how modeling supports and focuses scientific practice on sense-making. (shrink)

Pressure from the internationalization of economies and the globalization of nationally defined and managed welfare states could be a reason for converging trends in welfare states. On the other hand, it could be a reason for developing a more uniform type of welfare state, since a more uniform type, it could be assumed, would be under less pressure than a number of differing types. This may apply in particular in the case of welfare state models with high emphasis on (...) state.nancing, such as the Scandinavian welfare state model, which, it has been argued, has come under immense pressure from globalization. According to Geyer, this pressure would imply that: “the welfare states of the advanced industrial countries should become increasingly similar as the forces of globalization squeeze them into a market-oriented welfare-state model. In essence it does not matter whether the national institutional contexts are conservative or social democratic, if the welfare state is conservative, liberal or social democratic; or if a leftist or rightist party is in power, the constraints have become so extreme that only market-conforming welfare-state structures will be allowed.” But it also seems that “despite undeniable problems posed by economic internationalisation, social democratic welfare states and employment regimes have proven to be highly resilient.“ This article will discuss these contradictory viewpoints by way of analysing convergence, especially on the macro-level. (shrink)

What does it mean to be responsible for structural injustice? According to Iris Marion Young, the ongoing and socially embedded character of structural injustice imposes a future-oriented obligation to work with others toward creating remedial, institutional change. Young explains, ‘Political responsibility seeks less to reckon debts than to bring about results’ (Young, 2003, p. 13). This paper conceptually develops how the goal of remediation bears on responsibility in relation to structural injustice. Does the attribution of responsibility in this context call (...) upon individuals to simply do anything in efforts to affect progressive change? If not, then to what extent are these attributions of responsibility action guiding? On what basis do they direct agents to effectively intervene on relevant conditions and processes rather than act in ways that exacerbate the injustice? I explore the role of etiological explanation in the attribution and acceptance of corrective responsibility, which refers to diagnosis of the operative causation of unjust outcomes. After probing tensions within prominent models of corrective responsibility, I offer my own model attempting to resolve those issues. I argue the forward-looking nature of the call to participate in remedying social problems includes a demand for agents to do so in a way that is itself responsible. I theorize a framework of taking responsibility responsibly. This framework accounts for the moral difference between a conscientiously formulated program of remedial action and a quixotic exercise in reckless delusion. (shrink)

The paper demonstrates its ‘CSR at a tipping point’ thesis by juxtaposing views of corporate social responsibility (CSR) as essential for business and societal sustainability against those that see CSR as unaffordable or irrelevant in the current economic climate. Drawing from Kohlberg's seminal theory of moral development, CSR is conceptualised as the development of organisation moral reasoning, and the proposition is illustrated by demonstrating inter-disciplinary similarities in levels of ethical concern within different approaches to the practice of marketing, human resource (...) management (HRM) and performance management. Levels of concern for CSR are related to environmental and firm-specific drivers and constraints that influence the CSR dynamic. Environmental influences on organisational CSR stances emanate from a range of stakeholder constituencies, while the importance accorded to CSR is also influenced by firm-specific factors such as the organisation's stage of development, strategy and leadership. The paper's identification of inter-disciplinary similarities in the varying levels of concern for CSR and its delineation of CSR drivers and constraints contribute to CSR theory, and these frameworks also represent analytical tools that managers can use to assess or to change an organisation's CSR stance. The multi-level perspective on CSR adopted by the paper links an organisation's overall or ‘macro’ CSR stance to the ‘meso’ levels of CSR represented by practice within its specialist functions. It proposes that the ‘CSR at a tipping point’ proposition is assessed by utilising the conceptual model in the paper within a case-study research design to determine whether specific organisations – identified as ‘CSR-positive’ ones by their relatively high level of concern for stakeholder welfare – are changing the importance they accord to CSR as a result of the new business context, and the extent to which practice in their marketing, HRM and performance management functions are shapers or consequences of this. (shrink)

This paper explicates the philosophical and epistemological background of the MIRRORS project, which is the starting point of the various contributions in this issue. Developments in the philosophy of science will be discussed, especially the watershed work of Kuhn, in order to analyze further developments in the sociology of science, particularly starting from the Strong Programme. Finally, it will be shown how a multidisciplinary approach in Science & Technology studies, as opposed to an interdisciplinary one, is to be preferred. Specifically, (...) the connection between this approach and the modelling and idealizational approaches to science is stressed and defended as the best available approach for the formation of a conscientious democratic knowledge-based society. (shrink)

Knauff and Gazzo Castañeda (2022) object to using the term “new paradigm” to describe recent developments in the psychology of reasoning. This paper concedes that the Kuhnian term “paradigm” may be queried. What cannot is that the work subsumed under this heading is part of a new, progressive movement that spans the brain and cognitive sciences: Bayesian cognitive science. Sampling algorithms and Bayes nets used to explain biases in JDM can implement the Bayesian new paradigm approach belying any advantages of (...) mental models theory (MMT) at the algorithmic level. Moreover, this paper argues that new versions of MMT lack a computational level theory and questions the grounds for MMTs much-vaunted generality. The paper then examines common ground on the importance of small-scale models/simulations of the world and the importance of argumentation in the social domain rather than individual reasoning. Finally, the paper concludes that although there may be prospects for moving reasoning research forward in a more collective, collaborative manner, many disagreements remain to be resolved. (shrink)

Reasoning with cases has been a primary focus of those working in AI and law who have attempted to model legal reasoning. In this paper we put forward a formal model of reasoning with cases which captures many of the insights from that previous work. We begin by stating our view of reasoning with cases as a process of constructing, evaluating and applying a theory. Central to our model is a view of the relationship between cases, rules based on (...) cases, and the social values which justify those rules. Having given our view of these relationships, we present our formal model of them, and explain how theories can be constructed, compared and evaluated. We then show how previous work can be described in terms of our model, and discuss extensions to the basic model to accommodate particular features of previous work. We conclude by identifying some directions for future work. (shrink)

In this paper, we try to shed light on the ontological puzzle pertaining to models and to contribute to a better understanding of what models are. Our suggestion is that models should be regarded as a specific kind of signs according to the sign theory put forward by Charles S. Peirce, and, more precisely, as icons, i.e. as signs which are characterized by a similarity relation between sign (model) and object (original). We argue for this (1) (...) by analyzing from a semiotic point of view the representational relation which is characteristic of models. We then corroborate our hypothesis (2) by discussing the conceptual differences between icons, i.e. models, and indexical and symbolic signs and (3) by putting forward a general classification of all icons into three functional subclasses (images, diagrams, and metaphors). Subsequently, we (4) integratively refine our results by resorting to two influential and, as can be shown, complementary philosophy of science approaches to models. This yields the following result: models are determined by a semiotic structure in which a subject intentionally uses an object, i.e. the model, as a sign for another object, i.e. the original, in the context of a chosen theory or language in order to attain a specific end by instituting a representational relation in which the syntactic structure of the model, i.e. its attributes and relations, represents by way of a mapping the properties of the original, which hence are regarded as similar in a relevant manner. (shrink)

Counterfactuals are inherently ambiguous in the sense that the same counterfactual may be true under one mode of counterfactualization but false under the other. Many have regarded the ambiguity of counterfactuals as consisting in the distinction between forward-tracking and backtracking counterfactuals. This is incorrect since the ambiguity persists even in cases not involving backtracking counterfactualization. In this paper, I argue that causal modeling semantics has the resources enough for accounting for the ambiguity of counterfactuals. Specifically, we need to distinguish (...) two types of causal manipulation, which I call “intervention” and “extrapolation” respectively. To intervene in a causal model M is to change M’s structural equations in some specific ways, while to extrapolate M is to change the value assignment of M’s variables in some specific ways. I argue that intervention and extrapolation offer a natural explanation for the ambiguity of counterfactuals. (shrink)

ABSTRACT How can imagination generate knowledge when its contents are voluntarily determined? Several philosophers have recently answered this question by pointing to the constraints that underpin imagination when it plays knowledge-generating roles. Nevertheless, little has been said about the nature of these constraints. In this paper, I argue that the constraints that underpin sensory imagination come from the structure of causal probabilistic generative models, a construct that has been highly influential in recent cognitive science and machine learning. I highlight (...) several attractions of this account, and I favourably contrast it with Peter Langland-Hassan’s account of sensory imagination in terms of the forward models exploited in sensorimotor control. (shrink)