Someone who has more sympathy with traditional empiricism than with much of present-day philosophy may ask himself: 'How do my experiences give rise to my beliefs about an external world, and to what extent do they justify them?' He wants to refer, among other things, to unremarkable experiences, of a sort which he cannot help believing to be so extremely common that it would be ridiculous to call them common experiences. He mainly has in mind sense-experiences, and he thinks of (...) them in a particular way. His way of thinking of them, roughly speaking as something 'inner', is one on which recent logico-linguistic philosophy has thrown a good deal of light. The relevant special notion of an experience contrasts, among other things, with a certain more general biographical notion of an experience, which some dictionaries indicate by the definition, 'an event of which one is the subject'. This book explores the concept of experiences, focusing on the disjunctions between perception and illusion. (shrink)

DCPS is a connectionist production system interpreter that uses distributed representations. As a connectionist model it consists of many simple, richly interconnected neuron‐like computing units that cooperate to solve problems in parallel. One motivation for constructing DCPS was to demonstrate that connectionist models are capable of representing and using explicit rules. A second motivation was to show how “coarse coding” or “distributed representations” can be used to construct a working memory that requires far fewer units than the number of different (...) facts that can potentially be stored. The simulation we present is intended as a detailed demonstration of the feasibility of certain ideas and should not be viewed as a full implementation of production systems. Our current model only has a few of the many interesting emergent properties that we eventually hope to demonstrate: It is damage‐resistant, it performs matching and variable binding by massively parallel constraint satisfaction, and the capacity of its working memory is dependent on the similarity of the items being stored. (shrink)

A visual imagery task is presented which is beyond the limits of normal human ability, and some of the factors contributing to its difficulty are isolated by comparing the difficulty of related tasks. It is argued that complex objects are assigned hierarchical structural descriptions by being parsed into parts, each of which has its own local system of significant directions. Two quite different schemas for a wire‐frame cube are used to illustrate this theory, and some striking perceptual differences to which (...) they give rise are described. The difficulty of certain mental imagery tasks is shown to depend on which of the alternative structural descriptions of an object is used, and this is interpreted as evidence that structural descriptions are an important component of mental images. Finally, it is argued that analog transformations like mental folding involve changing the values of continuous variables in a structural description. (shrink)

Argumentation as the public exchange of reasons is widely thought to enhance deliberative interactions that generate and justify reasonable public policies. Adopting an argumentation-theoretic perspective, we survey the norms that should govern public argumentation and address some of the complexities that scholarly treatments have identified. Our focus is on norms associated with the ideals of correctness and participation as sources of a politically legitimate deliberative outcome. In principle, both ideals are mutually coherent. If the information needed for a correct deliberative (...) outcome is distributed among agents, then maximising participation increases information diversity. But both ideals can also be in tension. If participants lack competence or are prone to biases, a correct deliberative outcome requires limiting participation. The central question for public argumentation, therefore, is how to strike a balance between both ideals. Rather than advocating a preferred normative framework, our main purpose is to illustrate the complexity of this theme. (shrink)

Population-level biomedical research offers new opportunities to improve population health, but also raises new challenges to traditional systems of research governance and ethical oversight. Partly in response to these challenges, various models of public involvement in research are being introduced. Yet, the ways in which public involvement should meet governance challenges are not well understood. We conducted a qualitative study with 36 experts and stakeholders using the World Café method to identify key governance challenges and explore how public involvement can (...) meet these challenges. This brief report discusses four cross-cutting themes from the study: the need to move beyond individual consent; issues in benefit and data sharing; the challenge of delineating and understanding publics; and the goal of clarifying justifications for public involvement. The report aims to provide a starting point for making sense of the relationship between public involvement and the governance of population-level biomedical research, showing connections, potential solutions and issues arising at their intersection. We suggest that, in population-level biomedical research, there is a pressing need for a shift away from conventional governance frameworks focused on the individual and towards a focus on collectives, as well as to foreground ethical issues around social justice and develop ways to address cultural diversity, value pluralism and competing stakeholder interests. There are many unresolved questions around how this shift could be realised, but these unresolved questions should form the basis for developing justificatory accounts and frameworks for suitable collective models of public involvement in population-level biomedical research governance. (shrink)

In this paper, we formulate a procedure for assessing reasoning as it is expressed in natural arguments. The procedure is a specification of one of the three aspects of argumentation assessment distinguished in the Comprehensive Assessment Procedure for Natural Argumentation that makes use of the argument categorisation framework of the Periodic Table of Arguments. The theoretical framework and practical application of both the CAPNA and the PTA are described, as well as the evaluation procedure that combines the two. The procedure (...) is illustrated through an evaluation of the reasoning of two example arguments from a recently published text. (shrink)

At the centre of John Rawls's political philosophy is one of the most influential thought experiments of the twentieth century: which principles of justice would a group of individuals choose to regulate their society if they were deprived of any information about themselves that might bias their choice? In this collection of new essays, leading political philosophers examine the ramifications and continued relevance of Rawls's idea. Their chapters explore topics including the place of the original position in rational choice theory, (...) the similarities between Rawls's original position and Kant's categorical imperative, the differences between Rawls's model and Scanlon's contractualism, and the role of the original position in the argument between Rawls and other views in political philosophy, including utilitarianism, feminism, and radicalism. This accessible volume will be a valuable resource for undergraduates, as well as advanced students and scholars of philosophy, game theory, economics, and the social and political sciences. (shrink)

In this paper I describe the apparent differences between the views of Mizrahi and Seidel on the strength of arguments from expert opinion. I show that most of Seidel's objections rely on an understanding of the words 'expert' and 'opinion' different from those which Mizrahi employs. I also discuss certain inconsistencies found in both papers over the use of these key terms. The paper concludes by noting that Mizrahi is right to suggest that evidence shows expert predictions to be unreliable, (...) but Seidel is correct to observe that this finding should not be used to claim that expert opinion in general is not to be trusted. (shrink)

As more and more sophisticated software is created to allow the mining of arguments from natural language texts, this paper sets out to examine the suitability of the well-established and readily available methods of corpus linguistics to the study of argumentation. After brief introductions to corpus linguistics and the concept of meta-argument, I describe three pilot-studies into the use of the terms Straw man, Ad hominem, and Slippery slope, made using the open access News on the Web corpus. The presence (...) of each of these phrases on internet news sites was investigated and assessed for correspondence to the norms of use by argumentation theorists. All three pilot-studies revealed interesting facts about the usage of the terms by non-specialists, and led to numerous examples of the types of arguments mentioned. This suggests such corpora may be of use in two different ways: firstly, the wider project of improving public debate and educating the populace in the skills of critical thinking can only be helped by a better understanding of the current state of knowledge of the technical terms and concepts of argumentation. Secondly, theorists could obtain a more accurate picture of how arguments are used, by whom, and to what reception, allowing claims on such matters to be evidence, rather than intuition, based. (shrink)

ABSTRACTIn order to properly understand how expert disagreement should be dealt with, it is essential to grasp how expert opinion is used in the reasoning process by which humans reach conclusions and make decisions. This paper utilises the tools of argumentation theory, specifically Douglas Walton’s argument schemes, and variations upon them, in order to examine how patterns of reasoning are affected by the presence of conflicting testimony. This study suggests that although it may be supplemented with the construction of epistemic (...) hierarchies, the scheme of reasoning for the appeal to expert opinion provides no mechanism for establishing a preference for one expert statement over another, making it impossible to reach any rational conclusion as to the likely truth of the matter. Further, it is also argued that other schemes for presumptive argumentation are either unhelpful in themselves or lead to unwanted consequences. (shrink)

In this paper, we use a pseudo-algorithmic procedure for assessing an AI-generated text. We apply the Comprehensive Assessment Procedure for Natural Argumentation (CAPNA) in evaluating the arguments produced by an Artificial Intelligence text generator, GPT-3, in an opinion piece written for the Guardian newspaper. The CAPNA examines instances of argumentation in three aspects: their Process, Reasoning and Expression. Initial Analysis is conducted using the Argument Type Identification Procedure (ATIP) to establish, firstly, that an argument is present and, secondly, its specific (...) type in terms of the argument classification framework of the Periodic Table of Arguments (PTA). Procedural Questions are then used to test the acceptability of the argument in each of the three aspects. The analysis shows that while the arguments put forward by the AI text generator are varied in terms of their type and follow familiar patterns of human reasoning, they contain obvious weaknesses. From this we can conclude that the automated generation of persuasive, well-reasoned argumentation is a far more difficult task than the generation of meaningful language, and that if AI systems producing arguments are to be persuasive, they require a method of checking the plausibility of their own output. (shrink)

It is possible to learn multiple layers of non-linear features by backpropagating error derivatives through a feedforward neural network. This is a very effective learning procedure when there is a huge amount of labeled training data, but for many learning tasks very few labeled examples are available. In an effort to overcome the need for labeled data, several different generative models were developed that learned interesting features by modeling the higher order statistical structure of a set of input vectors. One (...) of these generative models, the restricted Boltzmann machine (RBM), has no connections between its hidden units and this makes perceptual inference and learning much simpler. More significantly, after a layer of hidden features has been learned, the activities of these features can be used as training data for another RBM. By applying this idea recursively, it is possible to learn a deep hierarchy of progressively more complicated features without requiring any labeled data. This deep hierarchy can then be treated as a feedforward neural network which can be discriminatively fine-tuned using backpropagation. Using a stack of RBMs to initialize the weights of a feedforward neural network allows backpropagation to work effectively in much deeper networks and it leads to much better generalization. A stack of RBMs can also be used to initialize a deep Boltzmann machine that has many hidden layers. Combining this initialization method with a new method for fine-tuning the weights finally leads to the first efficient way of training Boltzmann machines with many hidden layers and millions of weights. (shrink)

The purpose of this paper is twofold: to give a good account of the argument from ignorance, with a presumptive argumentation scheme, and to raise issues on the work of Walton, the nature of abduction and the concept of epistemic closure. First, I offer a brief disambiguation of how the terms 'argument from ignorance' and 'argumentum ad ignorantiam' are used. Second, I show how attempts to embellish this form of reasoning by Douglas Walton and A.J. Kreider have been unnecessary and (...) unhelpful. Lastly, I offer a full and effective account of the argument from ignorance and discuss the lessons of the analysis.Le but de cet article est double: donner un bon compte rendu de l'argument par l'ignorance, avec un schème d'argumentation présomptif, et soulever des questions sur certains aspects de l’œuvre de Walton, la nature des raisonnements abductifs et le concept de fermeture épistémique. Premièrement, j'offre une brève désambiguïsation de la façon dont les termes «argument par l'ignorance» et «argumentum ad ignorantiam» sont utilisés. Deuxièmement, je montre comment les tentatives de Douglas Walton et de A.J. Kreider d'embellir cette forme de raisonnement ont été ni nécessaires et ni utiles. Enfin, j'offre un compte-rendu complet et utile de l'argument par l'ignorance et je discute des leçons de l'analyse. (shrink)

This paper begins with an assessment of the origin of the term ‘deep disagreement’ to reflect fundamental differences in argument procedure and suggests an alternative explanation of such stalemates that may apply in many cases and does lead to a possible resolution strategy, through discussion of the ordering of certain principles, rather than their acceptance or rejection. Similarities are then drawn with disputes which are supported by conflicting expert opinions and I lay out the advantages of seeking to resolve them (...) through the construction of an epistemic hierarchy. It is noted that while such hierarchies may not be easy to build, and are certainly not fool-proof, their importance is in the provision of a mechanism by which an apparently stalled debate can move forward, leading to a better understanding of the conflicting positions, if not full resolution. (shrink)

Herein, I consider arguments resting on an appeal to a non-existent authority as a species of argument from authority, and ultimately show them to be reliant on arguments from analogy in their inferential force. Three sub-types of argument are discussed: from authorities as yet unborn, no longer living, or incapable of ever doing so. In each case it is shown that an element of arguing from analogy is required since there can be no direct evidence of any assertions of the (...) source. In conclusion, it is suggested that such steps of analogy are employed frequently in traditional arguments from authority. (shrink)

Herein, I consider arguments resting on an appeal to a non-existent authority as a species of argument from authority, and ultimately show them to be reliant on arguments from analogy in their inferential force. Three sub-types of argument are discussed: from authorities as yet unborn, no longer living, or incapable of ever doing so. In each case it is shown that an element of arguing from analogy is required since there can be no direct evidence of any assertions of the (...) source. In conclusion, it is suggested that such steps of analogy are employed frequently in traditional arguments from authority. (shrink)

How can pain complaints be elicited and analyzed so as to increase the empathic bond between patient and clinician? I will argue that though Wierzbicka’s approach to this question is useful—an exploration of certain abstract dimensions of pain’s meaning—it fails to examine key aspects that are the most useful and crucial for cultural analysis and for building empathic bonds between the clinician and patient. Not just a grammar of pain is needed; rather a biological philology of pain.

This paper examines the role that attention to emotions around climate change can play for third sector climate change engagement initiatives, an area to which the literature on such initiatives has paid little attention. It focuses on Carbon Conversations, a programme that explicitly acknowledges the role of difficult emotions and underlying values in people's engagement with climate change. While there are limitations to this approach, results show that it can help certain audiences engage more deeply with issues around climate change (...) and carbon reduction. Important lessons can be drawn for other initiatives that aim to engage the public on climate change. (shrink)

Abstract Contemporary egalitarians often appeal to a distinction between inequalities issuing from choice as opposed to those stemming from brute luck. Inequalities of the second kind, they say, ought to be redressed, while those of the former may be allowed to stand. In this paper, I scrutinize the role played by the notion of brute luck in Ronald Dworkin's theory of equality. My intention is to show that Dworkin seeks to occupy what turns out to be an untenable middle position. (...) He is sandwiched unhappily between G. A. Cohen's radical brute luck egalitarianism, on the one side, and a non-egalitarian conception of justice that rejects entirely the appeal to brute luck, on the other. It follows from the untenable nature of Dworkin's position that egalitarians face a much starker choice than he realizes. They should either wholeheartedly embrace the brute luck story or else find another way of grounding their position. (shrink)

Arguments may sometimes be advanced with a non-standard function. One such function, it is suggested, is the expression of identity, a practice which may play a significant role in political representation. This paper sets out to examine a number of short addresses given at the High-Level segment of the Cop26 conference, which are considered to contain instances of such argumentation. Their content is analysed and evaluated by means of the Comprehensive Assessment Procedure for Natural Argumentation (CAPNA), and an attempt is (...) made to highlight the purposes of the delegates in addressing the conference. At a more fundamental level, the goal of this work is to assess the possibility of identifying arguments as being meant largely as statements of identity or representation, and the suitability of the CAPNA or other norm-based systems for evaluating such discourse. The speakers studied include representatives from OPEC, the Trade Unions, and the leaders of Vietnam and Liechtenstein. Ultimately, the study concludes that while further work is necessary both on understanding the relationship between argument and identity in the political arena, and on the application of argument norms to representational discourse, evaluations of this kind are meaningful and informative. (shrink)

We describe a deep generative model in which the lowest layer represents the word-count vector of a document and the top layer represents a learned binary code for that document. The top two layers of the generative model form an undirected associative memory and the remaining layers form a belief net with directed, top-down connections. We present efficient learning and inference procedures for this type of generative model and show that it allows more accurate and much faster retrieval than latent (...) semantic analysis. By using our method as a filter for a much slower method called TF-IDF we achieve higher accuracy than TF-IDF alone and save several orders of magnitude in retrieval time. By using short binary codes as addresses, we can perform retrieval on very large document sets in a time that is independent of the size of the document set using only one word of memory to describe each document. (shrink)