This paper updates (2017) a previously-presented* model of models, which can be used to clarify discussion and analysis in a variety of disputes and debates, since many such discussions hinge on displaying or implying models about how things are related. Knowing about models does not itself supply any new information about our world, but it might help us to recognize when and how information is being conveyed on these matters, or where possibly it is being obscured. If (...) a claim P is expressed in the context of a certain model, a disagreement about P may actually not be about whether the underlying model is accurate; it could reflect misunderstandings about the model’s assumptions or conventions. Also, in practice, constructed models are rarely fully elaborated for every detail, so misunderstandings can arise from apparent “gaps” in the model. In that case, developing and considering complementary versions of models can sometimes clarify ambiguities. Following the main analysis are several extended Case examples to illustrate the wide applicability of the models approach, for clarifying, if not necessarily “resolving”, numerous debates and issues. For example, a famous “counter example” by Nelson Goodman to a logical model proposed by Carnap is shown to be not as deal-breaking as presumed historically, if only plausible complementary models had been explored. And models sometimes presented as competing in Artificial Intelligence research— “Declarative” versus “Procedural”—can instead be viewed as good examples of “complementary” models. Also reconsidered in this light are some well-known, competing positions, by Russell, Strawson, and Kripke, in the literature regarding names, pointing, definite descriptions and “using” sentences, and so on. All these concepts are locatable within the presently proposed models analysis. Questions such as where “truth” resides (whether in sentences or in uses of sentences) are not settled in this paper; yet, practical questions about how testable claims about the world can be expressed by models are clarified. _* Original version presented at a University of Waterloo Philosophy Colloquium 1984. (shrink)

We believe that the distinction between procedural and declarative knowledge unnecessarily confounds two issues: action-centeredness and accessibility, and can be made clearer through separating the two aspects. The work presents an integrated model of skill learning that takes into account both implicit and explicit processes and both action-centered and non-action-centered knowledge. We examine and simulate human data in the Letter Counting task. The work shows how the data may be captured using either the action-centered knowledge alone or the (...) combined action-centered and non-action-centered knowledge. The results provide a new perspective on skill learning. (shrink)

We propose a view of embodied representations that is alternative to both symbolic/linguistic approaches and purely sensorimotor views of cognition, and can account for procedural and declarative knowledge manipulation. In accordance with recent evidence in cognitive neuroscience and psychology, we argue that anticipatory and simulative mechanisms, which arose during evolution for action control and not for cognition, determined the first form of representational content and were exapted for increasingly sophisticated cognitive uses. In particular, procedural and declarative (...) forms of knowledge can be explained, respectively, in terms of on-line sensorimotor anticipation and off-line simulations of potential actions, which can give access to tacit knowledge and make it explicit. That is, mechanisms that evolved for the on-line prediction of the consequences of one's own actions (i.e. forward models) determine a (procedural) form of representation, and became exapted for off-line use. They can therefore be used to produce (declarative) knowledge of the world, by running a simulation of the action that would produce the relevant information. We conclude by discussing how embodied representations afford a form of internal manipulation that can be described as internalized situated action. (shrink)

Researchers currently working on relational reasoning typically argue that mental model theory (MMT) is a better account than the inference rule approach (IRA). They predict and observe that determinate (or one-model) problems are easier than indeterminate (or two-model) problems, whereas according to them, IRA should lead to the opposite prediction. However, the predictions attributed to IRA are based on a mistaken argument. The IRA is generally presented in such a way that inference rules only deal with determinate relations and not (...) with indeterminate ones. However, (a) there is no reason to presuppose that a rule-based procedure could not deal with indeterminate relations, and (b) applying a rule-based procedure to indeterminate relations should result in greater difficulty. Hence, none of the recent articles devoted to relational reasoning currently presents a conclusive case for discarding IRA by using the well-known determinate vs indeterminate problems comparison. (shrink)

We demonstrate that the key components of cognitive architectures (declarative and procedural memory) and their key capabilities (learning, memory retrieval, probability judgment, and utility estimation) can be implemented as algebraic operations on vectors and tensors in a high‐dimensional space using a distributional semantics model. High‐dimensional vector spaces underlie the success of modern machine learning techniques based on deep learning. However, while neural networks have an impressive ability to process data to find patterns, they do not typically model high‐level (...) cognition, and it is often unclear how they work. Symbolic cognitive architectures can capture the complexities of high‐level cognition and provide human‐readable, explainable models, but scale poorly to naturalistic, non‐symbolic, or big data. Vector‐symbolic architectures, where symbols are represented as vectors, bridge the gap between the two approaches. We posit that cognitive architectures, if implemented in a vector‐space model, represent a useful, explanatory model of the internal representations of otherwise opaque neural architectures. Our proposed model, Holographic Declarative Memory (HDM), is a vector‐space model based on distributional semantics. HDM accounts for primacy and recency effects in free recall, the fan effect in recognition, probability judgments, and human performance on an iterated decision task. HDM provides a flexible, scalable alternative to symbolic cognitive architectures at a level of description that bridges symbolic, quantum, and neural models of cognition. (shrink)

Advances in artificial intelligence have raised a basic question about human intelligence: Is human reasoning best emulated by applying task‐specific knowledge acquired from a wealth of prior experience, or is it based on the domain‐general manipulation and comparison of mental representations? We address this question for the case of visual analogical reasoning. Using realistic images of familiar three‐dimensional objects (cars and their parts), we systematically manipulated viewpoints, part relations, and entity properties in visual analogy problems. We compared human performance to (...) that of two recent deep learning models (Siamese Network and Relation Network) that were directly trained to solve these problems and to apply their task‐specific knowledge to analogical reasoning. We also developed a new model using part‐based comparison (PCM) by applying a domain‐general mapping procedure to learned representations of cars and their component parts. Across four‐term analogies (Experiment 1) and open‐ended analogies (Experiment 2), the domain‐general PCM model, but not the task‐specific deep learning models, generated performance similar in key aspects to that of human reasoners. These findings provide evidence that human‐like analogical reasoning is unlikely to be achieved by applying deep learning with big data to a specific type of analogy problem. Rather, humans do (and machines might) achieve analogical reasoning by learning representations that encode structural information useful for multiple tasks, coupled with efficient computation of relational similarity. (shrink)

This article is based on a Lecture given as part of the Franklin J. Matchette Foundation Lecture Series on Truth at the Catholic University of America, School of Philosophy, in 2002. It explores what theorists in the natural law tradition and modern legal theorists have argued about what makes propositions of morality and law true, focusing on the rubric of "reason" as opposed to "will." It seems probable, and perhaps inevitable, that theorists about the nature of truth in morality must (...) choose between reason and will - that morality, at its core, is either one or the other. What makes law distinctive is that it is, as a practical matter if not by conceptual necessity, a mixture of both. And it is this intertwining of reason and will, of normative system and practical reasoning, which makes assertions about the nature of legal truth, and theories about the nature of law, so difficult. The arguments about truth in law are as much disagreements about what it means to say that a legal proposition is truth as they are about what makes legal propositions true. Are declarations of truth in law statements about legal norms and legal sources, or are they statements about the results of particular disputes or particularized inquiries? There are obvious complilcations in speaking of truth in a context like law, where there is simultaneously an effort to create a coherent normative system and a decision-making procedure that can modify that system in the course of resolving disputes. (shrink)

Approaches to model evaluation in terms of Occam's razor or principles of parsimony cannot avoid judgements about the relative importance of aspects of the models. Assumptions about “core processing” are usually considered more important than those related to decision components, but when the decision is related to a central feature of the processing, it becomes extremely difficult to tease apart the influences of core and decision components and to draw sensible conclusions about underlying architecture. It is preferable, where possible, (...) to use experimental procedures that avoid the necessity for subject decisions related to critical aspects of the underlying process. (shrink)

This chapter focuses on the frameworks of Head‐Driven Phrase Structure Grammar (HPSG) as it developed from Generalized Phrase Structure Grammar (GPSG), and Lexical‐Functional Grammar (LFG). Declarative frameworks are not generative, as they do not ‘generate’ anything in the sense of the preceding paragraph. Pullum refers to that kind of approach as Generative‐Enumerative Syntax and differentiates it from Model‐Theoretic Syntax: GPSG, HPSG, and LFG essentially fall in the latter category. It describes some key aspects of declarative frameworks, and the (...) motivation for them. The chapter considers how declarative frameworks instantiate a view of Generative Grammar directly inspired by Noam Chomsky's early work, but without the procedural component. It presents some of the core design features which motivate declarative frameworks, and explores how syntactic phenomena are factorized and formalized in declarative frameworks, with a view to comparison with Minimalist Program analyses. (shrink)

In this paper, I present a framework where possible relations between learning and mental models are explored. In particular, I’ll be concerned with non-symbolic gestures accompanying discourse and their role in inducing the construction of models and therefore deep comprehension and learning in the listener. Also, I’ll be concerned with cognitive and socio-cognitive conflicts and their roles in inducing construction of alternative models of a problem and therefore in learning to reason. Human ability to learn is of (...) great importance for individuals interested in change. Indeed, to learn both declarative and procedural knowledge means to change, and in order to be able to intervene on change in a desired way it is necessary to have a theory of the mental representations and processes involved in learning and a theory of the communication and contexts that favour learning. (shrink)

Inspired by legal reasoning, this paper presents a formal framework for assessing conflicting arguments. Its use is illustrated with applications to realistic legal examples, and the potential for implementation is discussed. The framework has the form of a logical system for defeasible argumentation. Its language, which is of a logic-programming-like nature, has both weak and explicit negation, and conflicts between arguments are decided with the help of priorities on the rules. An important feature of the system is that these priorities (...) are not fixed, but are themselves defeasibly derived as conclusions within the system. Thus debates on the choice between conflicting arguments can also be modelled.The proof theory of the system is stated in dialectical style, where a proof takes the form of a dialogue between a proponent and an opponent of an argument. An argument is shown to be justified if the proponent can make the opponent run out of moves in whatever way the opponent attacks. Despite this dialectical form, the system reflects a declarative, or relational approach to modelling legal argument. A basic assumption of this paper is that this approach complements two other lines of research in AI and Law, investigations of precedent-based reasoning and the development of procedural, or dialectical models of legal argument. (shrink)

Pauline Kleingeld and Marcus Willaschek, in a co-authored article, declare that their purportedly new interpretation of Immanuel Kant’s writings on autonomy reveals that his moral philosophy is neither realist nor constructivist. However, as I explain here, John Rawls already occupies the area of intellectual territory to which Kleingeld and Willaschek attempt to lay claim: Rawls interprets Kant’s moral philosophy as neither realist, as Kleingeld and Willaschek evidently construe this term, nor constructivist, as they evidently construe this term. Contra Kleingeld and (...) Willaschek, the moral constructivism attributed to Kant by Rawls is not voluntarist, and Rawls’s account of Kant’s concept of autonomy is not paradoxical. In order to understand autonomy, it is necessary to understand Kant’s complex conception of the will, which structures his moral philosophy (as Rawls, unlike Kleingeld and Willaschek, explains). Rawls, like Kant, but unlike Kleingeld and Willaschek, clearly distinguishes between certain importantly different questions about normativity and obligation. Kant’s moral philosophy, according to Rawls’s insightful interpretation, is a form of objective moral constructivism. (shrink)

We investigated whether, in the emergency department, educational video-assisted informed consent is superior to the conventional consent process, to inform trauma patients undergoing surgery about the procedure, benefits, risks, alternatives, and postoperative care. We conducted a prospective randomized controlled trial, with superiority study design. All trauma patients scheduled to receive trauma-related debridement surgery in the ED of Kaohsiung Medical University Hospital were included. Patients were assigned to one of two education protocols. Participants in the intervention group watched an educational video (...) illustrating informed consent information, whereas those in the control group read an informed consent document. The primary outcome was knowledge scores and the secondary outcome was assessment of patient satisfaction. A multivariable regression model, with predefined covariates, was used to analyze differences in knowledge scores and patient satisfaction levels between the groups. A total of 142 patients were enrolled, with 70 and 72 assigned to the intervention and control groups, respectively. Mean knowledge scores were higher in the intervention ) than in the control group. By multivariate analysis, the intervention group had significantly greater differences in knowledge scores. Age, injury severity score, and baseline knowledge score significantly affected the differences in knowledge scores. Significant improvements were observed in patients’ perception of statements addressing comprehension of the information provided, helpfulness of the supplied information for decision making, and satisfaction with the informed consent process. Multivariate analysis showed significant correlations between video education and patient satisfaction. Both the educational approach and severity of injury may have an impact on patient understanding during the informed consent process in an emergency environment. Video-assisted informed consent may improve the understanding of surgery and satisfaction with the informed consent process for trauma patients in the ED. Institutions should develop structured methods and other strategies to better inform trauma patients, facilitate treatment decisions, and improve patient satisfaction. The ClinicalTrials.gov Identifier is NCT01338480. The date of registration was April 18, 2011. (shrink)

The author discusses the thesis proposed by H. Hazlitt that jurisprudence has developed such methods and principles of solving legal problems that could also serve as a guide in solving ethical problems. The article critically reviews the reasoning behind this thesis made by H. Hazlitt and L. Yeager. A special attention is paid to the influence of J. Bentham’s utilitarian ideas on the formation of Hazlitt’s conception. Not being a lawyer, Hazlitt in the work The Foundations of Morality argued that (...) the law affects morality. In Hazlitt’s ethical theory judicial precedents affect the formation of moral rules. Hazlitt compares the formation of general rules in the sphere of morality and law. Using the formula of evaluation of moral rules proposed by Hazlitt, situations should be considered from three positions: subject of action, object of action, and impartial observer. Even though Yeager develops the ideas of Hazlitt, the former uses different arguments to substantiate the main thesis. Yeager believes that the laws have to declare the norms of morality. However, the arguments of Hazlitt and Yeager should be considered critically, as some researchers have done. As an additional argument to support the article’s main thesis, it is proposed to use the mechanism of conciliation procedures as a model for solving ethical problems. The article concludes that the thesis proposed by Hazlitt is valid but requires further reasoning and research by the philosophers of law. (shrink)

The ability to extract patterns from sensory input across time and space is thought to underlie the development and acquisition of language and literacy skills, particularly the subdomains marked by the learning of probabilistic knowledge. Thus, impairments in procedural learning are hypothesized to underlie neurodevelopmental disorders, such as dyslexia and developmental language disorder. In the present meta‐analysis, comprising 2396 participants from 39 independent studies, the continuous relationship between language, literacy, and procedural learning on the Serial Reaction Time task (...) (SRTT) was assessed across children and adults with typical development (TD), dyslexia, and Developmental Language Disorder (DLD). Despite a significant, but very small, relationship between procedural learning and overall language and literacy measures, this pattern was not observed at the group‐level when examining TD, dyslexic, and DLD groups separately. Based on the procedural/declarative model, a positive relationship was expected between procedural learning and language and literacy measures for the typically developing group; however, no such relationship was observed. This was also the case for the disordered groups (ps >.05). Also counter to expectations, the magnitude of the relationship between procedural learning and grammar and phonology did not differ between TD and DLD (ps >.05), nor between the TD and dyslexic group on reading, spelling, and phonology (ps >.05). While lending little support to the procedural/declarative model, we consider that these results may be the consequence of poor psychometric properties of the SRTT as a measure of procedural learning. (shrink)

We present a skill learning model CLARION. Different from existing models of high-level skill learning that use a topdown approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. CLAR- ION is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a minefield navigation task. A (...) match between the model and human data is found in several respects. (shrink)

The paper analyzes, on the basis of Ryle’s concepts of knowledge that and knowledge how, both objectified forms of expert knowledge and the performative nature of expertise. Both theoretical and practical aspects of the identified categories are studied from historical and social perspectives as phenomena characteristic of post-modern information society. In virtue of the selected social examples an epistemological model of performative expert knowledge and expertise is constructed in which crucial elements are distinguished: experts’ cognitive attitudes and dispositions, intellectual skills, (...) intuition and mistakes as well as types of interactional versus contributory expertise. Also considered are the epistemological consequences derived from the research concerning expertise in psychiatric treatment where both expert knowledge and expertise fall into line with institutional requirements as well as procedures. (shrink)

In physics, one is often misled in thinking that the mathematical model of a system is part of or is that system itself. Think of expressions commonly used in physics like “point” particle, motion “on the line”, “smooth” observables, wave function, and even “going to infinity”, without forgetting perplexing phrases like “classical world” versus “quantum world”.... On the other hand, when a mathematical model becomes really inoperative in regard with correct predictions, one is forced to replace it with a (...) new one. It is precisely what happened with the emergence of quantum physics. Classical models were superseded by quantum ones through quantization prescriptions. These procedures appear often as ad hoc recipes. In the present paper, well defined quantizations, based on integral calculus and Weyl–Heisenberg symmetry, are described in simple terms through one of the most basic examples of mechanics. Starting from probability distribution on the Euclidean plane viewed as the phase space for the motion of a point particle on the line, i.e., its classical model, we will show how to build corresponding quantum model and associated probabilities or quasi-probabilities distributions. We highlight the regularizing rôle of such procedures with the familiar example of the motion of a particle with a variable mass and submitted to a step potential. (shrink)

The aim of this article is to compare two models of reality construction and their applicability to explain the various effects of the digitalization process. The evolution of the constructivist ideas about reality is reconstructed in the context of the dispute among realists and constructivists, which was one of the most significant events in the epistemology and philosophy of science of the 20th century. The author points out the differences between the intellectual and the social construction of reality, and (...) carries out a comparative analysis of the philosophical theories and concepts describing the aforementioned alternatives. The intellectual construction of reality, which often takes place in theoretical physics at different stages of its development, is also analyzed. Particular consideration is given to the philosophic-scientific contexts generated by the sociology of knowledge, the theory of speech acts, and the actor-network theory. The article also shows a distinction between the construction and the constitution of reality. The constitution of reality within various types of non-theoretical thinking, fixed using the means and methods of phenomenological philosophy of science, allows identifying and describing the main contexts through which the word reality acquires significance and is endowed with meaning in the present-day intellectual and social practices. Special attention is paid to the concepts of virtual reality and digital reality. The features of the intellectual construction of virtual reality are described. The difference between the intellectual and the social construction of digital reality is substantiated as between two alternative practices, which determine the meaning, and the prospects of digitalization. This distinction may be of particular interest to those who design digital platforms and implement digitalization in various areas of human life and society, especially in as education, legal procedure, management, economics, and business. Today, when partly spontaneous, partly controlled digitalization is taking place in these spheres, the results of this study make it possible not only to understand the logic of the changes taking place but also to apply forecasting and planning methods actively, i.e., constructing the digital reality. (shrink)

For model-based frequentist statistics, based on a parametric statistical model ${{\cal M}_\theta }$, the trustworthiness of the ensuing evidence depends crucially on the validity of the probabilistic assumptions comprising ${{\cal M}_\theta }$, the optimality of the inference procedures employed, and the adequateness of the sample size to learn from data by securing –. It is argued that the criticism of the postdata severity evaluation of testing results based on a small n by Rochefort-Maranda is meritless because it conflates [a] misuses (...) of testing with [b] genuine foundational problems. Interrogating this criticism reveals several misconceptions about trustworthy evidence and estimation-based effect sizes, which are uncritically embraced by the replication crisis literature. (shrink)

To deal with reactive sequential decision tasks we present a learning model Clarion which is a hybrid connectionist model consisting of both localist and dis tributed representations based on the two level ap proach proposed in Sun The model learns and utilizes procedural and declarative knowledge tapping into the synergy of the two types of processes It uni es neural reinforcement and symbolic methods to perform on line bottom up learning Experiments in various situations are reported that shed (...) light on the working of the model.. (shrink)

It has been suggested that focusing on procedures when setting priorities for health care avoids the conflicts that arise when attempting to agree on principles. A prominent example of this approach is “accountability for reasonableness.” We will argue that the same problem arises with procedural accounts; reasonable people will disagree about central elements in the process. We consider the procedural condition of appeal process and three examples of conflicts over coverage decisions: a patients’ rights law in Norway, health (...) technologies coverage recommendations in the UK, and care withheld by HMOs in the US. In each case a process is at the center of controversy, illustrating the difficulties in establishing procedures that are widely accepted as legitimate. Further work must be done in developing procedural frameworks. (shrink)

This paper presents a skill learning model CLARION. Different from existing models of mostly high-level skill learning that use a top-down approach (that is, turning declarative knowledge into procedural knowledge through practice), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. Our model is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line reactive learning. It adopts a two-level dual-representation framework (Sun, 1995), (...) with a combination of localist and distributed representation. We compare the model with human data in a minefield navigation task, demonstrating some match between the model and human data in several respects. (shrink)

Definition of the problem: In 1997, Percutaneous Transluminal Coronary Angioplasty (PTCA) was performed in 138.001 cases in Germany. The standard indications, single vessel disease and badly controlled angina, are more and more extended to multivessel disease with and without severe angina, unstable or preinfarction angina, and acute myocardial infarction (AMI) itself. Dilating asymptomatic stenoses of more than 70–80% is a widely used indication, intending prophylaxis of complete occlusion and AMI. Actually there is no generally accepted guideline for the different new (...) indications, conservative versus invasive treatment schedule. It is difficult for the patient to get appropriate information before his decision between mechanical procedures and conservative methods; authentic informed consent actually seems to be in a very bad position. In 1992 the working group called ”Arbeitsgemeinschaft leitender kardiologischer Krankenhausärzte (ALKK)” decided to start a registry of all PTCA procedures, in order to gain knowledge about the present status of PTCA in Germany. Up to March 1999, 198.608 PTCA are logged.Arguments: Each PTCA was included on an intention-to-treat basis. The registry succeeded in a nearly complete recording with 98,6% of all PTCA procedures complete on March 17th, 1999. 93,5% of stenosed and 72,2% of the total occluded vessels were successfully dilated. In 4.729 cases (2,63%) the PTCA caused severe complications. The overall in-hospital mortality was only 0,5%, if the procedures done for AMI were excluded (including AMI it was 1,1%). The calculation of complications should be an essential part of the patients informed consent.Conclusion: Complete recording of all PTCA procedures is feasible even on a nationwide basis. Some results of the registry, as the indication control and the complication rate may help to realize a better doctor-patient-conversation on risks and benefits of either concept. The trend of many CHD patients is ”modern”: It should be done what can be done (mechanically), with results at once. Although said somehow paternalistic, this point of view cannot be tolerated: Proper informed consent today includes the realistic alternative of modern medicaments, especially those with an aggressive cholesterol lowering potency. (shrink)

Although predictive power and explanatory insight are both desiderata of scientific models, these features are often in tension with each other and cannot be simultaneously maximized. In such situations, scientists may adopt what I term a ‘division of cognitive labor’ among models, using different models for the purposes of explanation and prediction, respectively, even for the exact same phenomenon being investigated. Adopting this strategy raises a number of issues, however, which have received inadequate philosophical attention. More specifically, (...) while one implication may be that it is inappropriate to judge explanatory models by the same standards of quantitative accuracy as predictive models, there still needs to be some way of either confirming or rejecting these model explanations. Here I argue that robustness analyses have a central role to play in testing highly idealized explanatory models. I illustrate these points with two examples of explanatory models from the field of geomorphology. (shrink)

This study was a Persian-English comparative translation investigation on the selected poems of Forough- Farrokhzad, an influential contemporary Iranian poet. Two English translations were analyzed: one by a native Persian speaker, Sholeh Wolpé, an Iranian poet and translator, and the other by a non-native Persian speaker, Jascha Kessler, an American poet, writer and translator. The translations were reviewed according to Vinay and Darbelnet’s(1995) model which identifies two general translation strategies: direct and oblique, resembling literal versus free classifications, respectively, along (...) with their supplementary proce- dures in order to investigate the frequency of the application of each procedure by the two translators. After situating every line of the poems in the related categories, the number of times each procedure was em- ployed was examined. The findings indicated that both translators used the oblique strategy more than the direct one. The non-native translator, however, used the oblique strategy considerably more frequently com- pared to the native translator. Finally, new procedures called complementary procedures were proposed by the researchers to be added to Vinay and Darbelnet’s (1995) model in order to fill the gaps in the application of strategies and procedures to the poems of Forough Farrokhzad and probably other poems. (shrink)

In recent years, there has been much discussion over how to assure scientific integrity. It has become clear that a few scientists have fraudulently collected or reported data, conducted harmful or unethical experiments, or practiced “unscientific” procedure. What are regulative bodies to do? The approach has been to define research misconduct and then use that definition to assess scientific practice.[1] But just how to define research misconduct and hence, regulate the conduct of scientists in research? The debate that resulted in (...) response to this question, and that led ultimately to the new federal definition (42CFR50), has both theoretical and political underpinnings. The political underpinnings have been greatly discussed. But the theoretical underpinnings (and their connection to the political) have not. To give a definition of “good” versus “bad” science requires some understanding of the scientific process itself. So theoretical ideas about what constitutes good or bad science—ideas that influence and help shape our ideas and applications of research misconduct definitions—have political implications for the regulation of science. However, as the debates within both the scientific and philosophical communities have made clear, there are significant limits to any appropriate legislation of what counts as “good” science. A definition of research misconduct (or “bad” science) that spells out the nature of science too stringently may stifle scientific innovation. Consider the case of sociobiology when it was first introduced in the 1970’s. The idea is to account for social behavior of various species (including Homo sapiens) in terms of evolutionary biology. To take one example from sociobiology, the greater tendency of males toward rape is to be explained in terms of the evolutionary advantage for the male’s genes. Not surprisingly, sociobiology met with great controversy; some considered it an inappropriate application of biological principles to the social-interpretive-human domain. Still, few did or would suggest that it is the province of any regulatory body to silence the advocates of the new field. We will endorse and reinforce the standard arguments that the scientific process is too complicated to provide mechanical rules of conduct.. (shrink)

top-down approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward lowlevel skill learning, where procedural knowledge develops rst and declarative knowledge develops from it. Clarionwhich follows this approach is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a mine eld navigation task. A match between the model and human data is observed in several comparisons.

This article focuses on the effects of nonbinding recommendations on bargaining outcomes. Recommendations are theorized to have two effects: they can create a focal point for final bargaining positions, and they can decrease outcome uncertainty should dispute persist. While the focal point effect may lower dispute rates, the uncertainty reduction effect is predicted to do the opposite for risk-averse bargainers. Which of these effects dominates is of critical importance in the design of alternative dispute resolution (ADR) procedures, which are increasingly (...) utilized in a variety of settings. We theoretically examine the effects of recommendations on the contract zone using a framework which allows bargainers’ final positions to influence a binding outcome should negotiations fail. This provides a more stringent test of focal points than previously considered. We also present data from controlled laboratory experiments consistent with our model. Recommendations are empirically shown to influence final bargaining positions and negotiated settlement values. In fact, recommendations significantly reduce dispute rates, even where they are completely ignored in final-stage arbitration. This highlights a potentially significant role for the use of nonbinding procedures, such as mediation, as a preliminary stage in more efficient ADR procedures. (shrink)

That the rationality of individual people is ‘bounded’ – that is, finite in scope and representational reach, and constrained by the opportunity cost of time – cannot reasonably be controversial as an empirical matter. In this context, the paper addresses the question as to why, if economics is an empirical science, economists introduce bounds on the rationality of agents in their models only grudgingly and partially. The answer defended in the paper is that most economists are interested primarily in (...) markets and only secondarily in the dynamics of individual decisions – specifically, they are interested in these dynamics mainly insofar as they might systematically influence the most useful approaches to modeling interesting markets. In market contexts, bounds on rationality are typically generated by institutional and informational properties specific to the market in question, which arise and are sustained by structural dynamics that do not originate in or reduce to individuals' decisions or psychologic.. (shrink)

The central problem considered in this paper is whether a given recursive structure is recursively isomorphic to a polynomial-time structure. Positive results are obtained for all relational structures, for all Boolean algebras and for the natural numbers with addition, multiplication and the unary function 2x. Counterexamples are constructed for recursive structures with one unary function and for Abelian groups and also for relational structures when the universe of the structure is fixed. Results are also given which distinguish primitive recursive structures, (...) exponential-time structures and structures with honest witnesses. (shrink)

Typically, thalamic aphasias appear to be primarily lexical-semantic disorders representing difficulty using stored declarative memories for semantic information to access lexical word forms. Yet, there also is reason to believe that the thalamus might play a role in linguistic procedural memory. For more than two decades, we have known that basal ganglia dysfunction is associated with difficulties in procedural learning, and specific thalamic nuclei are the final waypoint back to the cortex in cortico-basal ganglia-cortical loops. Recent analyses (...) of the role of the thalamus in lexical-semantic processes and of the role of the basal ganglia in linguistic processes suggest that thalamic participation is not simply a matter of declarative vs. procedural memory, but a matter of how the thalamus participates in lexical-semantic processes and in linguistic procedural memory, as well as the interaction of these processes. One role for the thalamus in accessing lexical forms for semantic concepts relates to the stabilization of a very complex semantic-lexical interface with thousands of representations on both sides of the interface. Further, the possibility is discussed that the thalamus, through its participation in basal ganglia loops, participates in two linguistic procedural memory processes: syntactic/grammatical procedures and procedures for finding words to represent semantic concepts, with the latter interacting intricately with declarative memories. These concepts are discussed in detail along with complexities that can be addressed by future research. (shrink)

Following Brunswik (1952), social judgement theorists have long relied on regression models to describe both an individual's judgements and the environment about which such judgements are made. However, social judgement theory is not synonymous with these compensatory, static, structural models. We compared the characterisations of physicians' judgements using a regression model with that of a non-compensatory process model (called fast and frugal). We found that both models fit the data equally well. Both models suggest that physicians (...) use few cues, that they disagree among themselves, and that their stated cue use is discrepant with the models' stated cue use. However, the fast and frugal model is easier to convey to physicians and is also more psychologically plausible. Implications for how social judgement theorists conceptualise the process of vicarious functioning are discussed. (shrink)

The present paper examines the relationship between explicit and implicit memory and ultimate attainment in the native language. Two groups of native speakers of English with different levels of academic attainment (i.e., high vs. low) took part in three language tasks which assessed grammar, vocabulary and collocational knowledge, as well as phonological short-term memory (assessed using a forward digit-span task), explicit associative memory (assessed using a paired-associates task) and implicit memory (assessed using a deterministic serial reaction time task). Results revealed (...) strong relationships between phonological short-term memory and explicit associative memory on the one hand and the three language tasks on the other hand, and no relation between linguistic performance and implicit memory. Taken together, these results cast doubts on the common assumption that L1 grammar learning depends almost entirely on implicit memory and align with the claims of usage-based models of language acquisition that grammatical and lexical knowledge depend on the same cognitive mechanisms. (shrink)

We believe that this has been a constructive debate on the topic of memory consolidation and REM sleep. It was a lively and spirited exchange – the essence of science. A number of issues were discussed including: the pedestal technique, stress, and early REMD work in animals; REM windows; the processing of declarative versus procedural memory in REM in humans; a mnemonic function for theta rhythm in waking but not in REM sleep; the lack of cognitive deficits (...) in patients on antidepressant drugs that suppress or eliminate REM sleep; the disposition of conscious (dreams) and nonconscious material of REM sleep; and finally our theory of REM sleep. Although our position was strongly challenged, we still hold that REM sleep serves no role in the processing and consolidation of memory. (shrink)

In this paper we compare causal models with reason models in the construction of Bayesian networks for legal evidence. In causal models, arrows in the network are drawn from causes to effects. In a reason model, the arrows are instead drawn towards the evidence, from factum probandum to factum probans. We explore the differences between causal models and reason models and observe several distinct advantages with reason models. Reason models are better aligned with (...) the philosophy of Bayesian inference, as they model reasons for up-dating beliefs. Reason models are better suited for measuring the combined support of the evidence, and a prior probability of guilt that reflects the number of possible perpetrators is accommodated more easily with reason models. (shrink)