The current consensus is that most natural categories are not organized around strict definitions (a list of singly necessary and jointly sufficient features) but rather according to a family resemblance (FR) principle: Objects belong to the same category because they are similar to each other and dissimilar to objects in contrast categories. A number of computational models of category construction have been developed to provide an account of how and why people create FR categories (Anderson, 1990; Fisher, 1987). Surprisingly, however, (...) only a few experiments on category construction or free sorting have been run and they suggest that people do not sort examples by the FR principle. We report several new experiments and a two‐stage model for category construction. This model is contrasted with a variety of other models with respect to their ability to account for when FR sorting will and will not occur. The experiments serve to identify one basis for FR sorting and to support the two‐stage model. The distinctive property of the two‐stage model is that it assumes that people impose more structure than the examples support in the first stage and that the second stage adjusts for this difference between preferred and perceived structure. We speculate that people do not simply assimilate probabilistic structures but rather organize them in terms of discrete structures plus noise. (shrink)

Empirical evidence shows that non-conscious appraisal processes generate bodily responses to the environment. This finding is consistent with William James’s account of emotion, and it suggests that a general theory of emotion should follow James: a general theory should begin with the observation that physiological and behavioral responses precede our emotional experience. But I advance three arguments (empirical and conceptual arguments) showing that James’s further account of emotion as the experience of bodily responses is inadequate. I offer an alternative (...) class='Hi'>model, according to which responses (physical states) are perceived and interpreted by a separate cognitive process, one that assigns meaning to those responses. The non-conscious appraisal process and the interpretive process are distinct, hence a two-stage model of emotion. This model is related to Schachter and Singer’s two-factor theory. Their often-discussed experiment showed that interpretation can play a role in producing emotions. But they do not show that interpretation is necessary for producing emotions in general, outside of the experimental conditions that generated unexplained arousal in subjects. My two-stage model supports this stronger claim by situating the interpretive process in a comprehensive model of emotion. (shrink)

Research into two-stage models of “free will” – first “free” random generation of alternative possibilities, followed by “willed” adequately determined decisions consistent with character, values, and desires – suggests that William James was in 1884 the first of a dozen philosophers and scientists to propose such a two-stage model for free will. We review the later work to establish James’s priority. By limiting chance to the generation of alternative possibilities, James was the first to overcome the standard (...) two-part argument against free will, i.e., that the will is either determined or random. James gave it elements of both, to establish freedom but preserve responsibility. We show that James was influenced by Darwin’s model of natural selection, as were most recent thinkers with a two-stage model. In view of James’s famous decision to make his first act of freedom a choice to believe that his will is free, it is most fitting to celebrate James’s priority in the free will debates by naming the two-stage model – first chance, then choice -“Jamesian” free will. (shrink)

This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local dependencies, while being much more computationally efficient. NER systems typically use sequence models for tractable inference, but this makes them unable to capture the long distance structure present in text. We use a Conbel.

A two-stage sequential choice model is studied, the first stage being defined by q-Pareto multicriterial choice rule, and the second stage being defined by scalar extremization model. In this model, at the first stage the q-Pareto rule choses alternatives which are not only undominated in terms of Pareto comparison, but also includes into choice the alternatives which are dominated by no more than q alternatives. Since the choice set of the first-stage usually (...) contains too many elements, obtained set is used as a presentation for the second stage constructed by a scalar extremization model. The properties of the model are studied as well as its representability to one-stage scalar extremization model. (shrink)

Due to the inherent chaotic and fractal dynamics in the price series of Bitcoin, this paper proposes a two-stage Bitcoin price prediction model by combining the advantage of variational mode decomposition and technical analysis. VMD eliminates the noise signals and stochastic volatility in the price data by decomposing the data into variational mode functions, while technical analysis uses statistical trends obtained from past trading activity and price changes to construct technical indicators. The support vector regression accepts input from (...) a hybrid of technical indicators and reconstructed variational mode functions. The model is trained, validated, and tested in a period characterized by unprecedented economic turmoil due to the COVID-19 pandemic, allowing the evaluation of the model in the presence of the pandemic. The constructed hybrid model outperforms the single SVR model that uses only TI and rVMF as features. The ability to predict a minute intraday Bitcoin price has a huge propensity to reduce investors’ exposure to risk and provides better assurances of annualized returns. (shrink)

My aim is to relate Søren A. Kierkegaard’s early theory of stages as described basically in “Either-Or” to the theory of interest underlying the two process model of cognition of the Canadian psychologist Keith E. Stanovich with regard to the question of the highest formal goal we can pursue in our life. On the basis of Stanovich’s distinction between type 1 and type 2 processing and Kierkegaard’s distinction between an esthetical and an ethical stage of life, I argue (...) for an extension of Stanovich’s understanding of the goal structure of type 2 processing, for Kierkegaard’s ethical stage of life being a natural expression of our cognitive faculties and for a critical approach to Kierkegaard's idea of a religious stage as hinted at in “Fear and Trembling”. (shrink)

Matthew Walker's model overcomes the unrefined classical concept of consolidation as a unitary process. Presently still confined in its scope to selective data mainly referring to procedural motor learning, the model nonetheless provides a valuable starting point for further refinements, which would be required for a more comprehensive account of different types and aspects of human memory consolidation.

Sustainable development is an everlasting theme and lasting strategy in today’s era. Low-carbon economy is an inevitable approach to the implementation of sustainable development. Cold chain logistics has become one of the main sources of carbon emissions. However, in the research on location planning of cold chain logistics, the costs of carbon emissions have not been taken into consideration in previous studies. The two-stage stochastic optimization model was established based on the comprehensive consideration of transportation costs, time penalty (...) costs, and carbon emission costs. In this case, it is extremely difficult to deal with uncertainty in TSSO model. Therefore, this paper constructs a two-stage robust optimization model using data-driven method and robust optimization theory and verifies the validity of this model through an actual case. The application of this method to a cold chain logistics enterprise showed that the service level of logistics cannot be guaranteed by stochastic optimization model. In the TSRO model, the costs increase by 2.18% at the price of robustness, whereas logistics service level shows an upward trend. In the TSRO model, enterprises are forced to choose a better distribution path when carbon tax increases, which not only helps enterprises save costs but also achieves low-carbon environmental benefits. (shrink)

Metabolism is a set of chemical reactions, used by living organisms to process chemical compounds in order to take energy and eliminate toxic compounds, for example. Its processes are referred as metabolic pathways. Understanding metabolism is imperative to biology, toxicology and medicine, but the number and complexity of metabolic pathways makes this a difficult task. In our paper, we investigate the use of causal Bayesian networks to model the pathways of yeast saccharomyces cerevisiae metabolism: such a network can be (...) used to draw predictions about the levels of metabolites and enzymes in a particular specimen. We propose a two-stage methodology for causal networks, as follows. First construct a causal network from the network of metabolic pathways. The viability of this causal network depends on the validity of the causal Markov condition. If this condition fails, however, the principle of the common cause motivates the addition of a new causal arrow or a new `hidden' common cause to the network (stage 2 of the model formation process). Algorithms for adding arrows or hidden nodes have been developed separately in a number of papers, and in this paper we combine them, showing how the resulting procedure can be applied to the metabolic pathway problem. Our general approach was tested on neural cell morphology data and demonstrated noticeable improvements in both prediction and network accuracy. (shrink)

Random noise in the neurobiology of animals allows for the generation of alternative possibilities for action. In lower animals, this shows up as behavioral freedom. Animals are not causally predetermined by prior events going back in a causal chain to the origin of the universe. In higher animals, randomness can be consciously invoked to generate surprising new behaviors. In humans, creative new ideas can be critically evaluated and deliberated. On reflection, options can be rejected and sent back for “second thoughts” (...) before a final responsible decision and action. When the indeterminism is limited to the early stage of a mental decision, the later decision itself can be described as adequately determined. This is called the two-stage model, first the “free” generation of ideas, then an adequately determinism evaluation and selection process we call “will.”. (shrink)

In this paper, the two-stage orienteering problem with stochastic weights is studied, where the first-stage problem is to plan a path under the uncertain environment and the second-stage problem is a recourse action to make sure that the length constraint is satisfied after the uncertainty is realized. First, we explain the recourse model proposed by Evers et al. and point out that this model is very complex. Then, we introduce a new recourse model which (...) is much simpler with less variables and less constraints. Based on these two recourse models, we introduce two different two-stage robust models for the orienteering problem with stochastic weights. We theoretically prove that the two-stage robust models are equivalent to their corresponding static robust models under the box uncertainty set, which indicates that the two-stage robust models can be solved by using common mathematical programming solvers. Furthermore, we prove that the two two-stage robust models are equivalent to each other even though they are based on different recourse models, which indicates that we can use a much simpler model instead of a complex model for practical use. A case study is presented by comparing the two-stage robust models with a one-stage robust model for the orienteering problem with stochastic weights. The numerical results of the comparative studies show the effectiveness and superiority of the proposed two-stage robust models for dealing with the two-stage orienteering problem with stochastic weights. (shrink)

Ethical morality is one of the significant issues in self-driving cars. The paper provides a newer approach to solve the ethical decision problems in self-driving cars until there is no concrete ethical decision to all problems. This paper gives a two-way approach to solve a problem, with first being the mapping of problem to the solution already known or which has a fixed set of solutions and action priorities defined to a problem previously. Now, if no solution is found or (...) mapping is unsuccessful, then the second stage activates, where the solution from Deep Q-learning model is calculated. It estimates the best Q value and returns that solution or action which maximizes the reward at that instance. The reward function is designed with decreasing priorities and acts accordingly, where the users can change or define their priorities if needed. The case study and results show that the solution that is present in the paper will lead to solving ethical morality problems in self-driving cars up to a great extent. (shrink)

The economical/environmental scheduling problem of the ship integrated energy system has high computational complexity, which includes more than one optimization objective, various types of constraints, and frequently fluctuated load demand. Therefore, the intelligent scheduling strategies cannot be applied to the ship energy management system online, which has limited computing power and storage space. Aiming at realizing green computing on SEMS, in this paper a typical SIES-EESP optimization model is built, considering the form of decision vectors, the economical/environmental optimization objectives, (...) and various types of real-world constraints of the SIES. Based on the complexity of SIES-EESPs, a two-stage offline-to-online multiobjective optimization strategy for SIES-EESP is proposed, which transfers part of the energy dispatch online computing task to the offline high-performance computer systems. The specific constraints handling methods are designed to reduce both continuous and discrete constraints violations of SIES-EESPs. Then, an establishment method of energy scheduling scheme-base is proposed. By using the big data offline, the economical/environmental scheduling solutions of a typical year can be obtained and stored with more computing resources and operation time on land. Thereafter, a short-term multiobjective offline-to-online optimization approach by SEMS is considered, with the application of multiobjective evolutionary algorithm and typical schemes corresponding to the actual SIES-EESPs. Simulation results show that the proposed strategy can obtain enough feasible Pareto solutions in a shorter time and get well-distributed Pareto sets with better convergence performance, which can well adapt to the features of real-world SIES-EESPs and save plenty of operation time and storage space for the SEMS. (shrink)

Pixelism is the combination of three metaphysical thesis, namely a radical form of exdurantism, mereological nihilism and counterpart theory. Pixelism is a theory that evaluates all the metaphysical phenomena of persistence, composition and modality in a homogeneous and consistent manner. In a pixel world, there is no identity over time and over possible worlds and nothing persists over more than an instant or a world. Entities can be univocally identified by a five-coordinates system (the three spatial dimensions, the temporal one (...) and the possible worlds), and their relation is a counterpart relation both in different worlds and at different times or different regions of space. In this paper I will provide two models for pixelism: the first one takes pixels to be hypercubes, i. e. four-dimensional cubes, the acceptance of which is conditional on the acceptance of extended simples. The second one considers pixels as points in a four-dimensional space. (shrink)

In this paper we build a prey–predator model with discrete weight structure for the predator. This model will conserve the number of individuals and the biomass and both growth and reproduction of the predator will depend on the food ingested. Moreover the model allows cannibalism which means that the predator can eat the prey but also other predators. We will focus on a simple version with two weight classes or stage and present some general mathematical results. (...) In the last part, we will assume that the dynamics of the prey is fast compared to the predator’s one to go further in the results and eventually conclude that under some conditions, cannibalism can stabilize the system: more precisely, an unstable equilibrium without cannibalism will become almost globally stable with some cannibalism. Some numerical simulations are done to illustrate this result. (shrink)

Two-stage voting is prone to majority inversions, a situation in which the outcome of an election is not backed by a majority of popular votes. We study the probability of majority inversion in a model with two candidates, three states and uniformly distributed fractions of supporters for each candidate. The model encompasses equal or distinct population sizes, with equal, population-based or arbitrary voting weights in the second stage. We prove that, when no state can dictate the (...) outcome of the election by commanding a voting weight in excess of one half, the probability of majority inversion increases with the size disparity among the states. (shrink)

To reduce ambiguity across a conversation, interlocutors reach temporary conventions or referential precedents on how to refer to an entity. Despite their central role in communication, the cognitive underpinnings of the interpretation of precedents remain unclear, specifically the role and mechanisms by which information related to the speaker is integrated. We contrast predictions of one-stage, original two-stage, and extended two-stage models for the processing of speaker information and provide evidence favoring the latter: we show that both stages (...) are sensitive to speaker-specific information. Using an experimental paradigm based on visual-world eye tracking in the context of a referential communication task, we look at the moment-by-moment interpretation of precedents and focus on the temporal profile of the influence of the speaker and linguistic information when facing ambiguity. We find two clearly identifiable moments where speaker-specific information has its effects on reference resolution. We conclude that these two stages reflect two distinct cognitive mechanisms, with different timings, and rely on different representational formats for encoding and accessing information about the speaker: a cue-driven memory retrieval process that mediates language processing and an inferential mechanism based on perspective-taking abilities. (shrink)

It is generally held that Presocratic cosmologies are sui generis and unique to their authors. If, however, a division is made between sixth-century and fifthcentury BC cosmologies, some salient differences emerge. For instance, heavenly bodies in sixth-century cosmologies tend to be light, ephemeral, fed by vapors, and located above the earth; those in fifth-century cosmologies tend to be heavy, permanent, heated by friction, and to travel below the earth. The earlier cosmologies seem to embody a meteorological model of astronomy, (...) the latter a lithic model. The change in models can be accounted for on the basis of Parmenides’ discovery that the moon is illuminated by the sun and hence is a spherical, permanent, opaque or earthy body. This insight generated empirical evidence to confirm itself and rendered obsolete earlier cosmologies. (shrink)

While the effect of top executives' social networks on their compensations has received substantial scholarly attention, little effort has been made to integrate segmented views to offer more complete understanding of this effect. In this paper, we propose an integrative two-stage model by taking both economic and socio-political views into account. We theorise that some characteristics of top executive's outside social ties are positively related to firm performance, and those relationships are conditioned by external and internal strategic contexts, (...) such as environmental uncertainty, strategic relevance, and tie strength. We also theorise that firm performance leads to executives' compensations, but this linkage is moderated by the socio-political dynamics among executives (within-group dynamics) as well as between executives and a board of directors (between-group dynamics) inside the firm. Based on our integrative framework, this paper provides the comprehensive understanding of how executives' compensations are determined and highlights the importance of executive's social ties and their implications. (shrink)

As a part of job resources, work time control is essential for innovation. We examine how work time control impacts knowledge employees’ innovation in the workplace. A two-stage study was conducted to verify the mediating and moderating processes. In Study 1, adopting the job demands–resources model as a theoretical framework, we conducted a laboratory test to find the relation between work time control, job engagement, job burnout, and innovation, and verified the path between work time control and innovation. (...) In Study 2, drawing on the job demands–resources model verified by Study 1 and self-regulation theory, it is proposed that during the psychological process in the workplace, job engagement plays a mediating role, and the vocational delay of gratification plays a moderating role between work time control and innovation. A total of 254 knowledge employees from diverse organizations participated in the survey study. After taking demographic variables, job demands, and neuroticism as control variables, the results showed that job engagement would mediate the relationship between work time control and innovation. A higher level of delay of gratification buffered the effect of a higher level of work time control on innovation. All these findings verified and expanded knowledge on work time control and innovation literature, showing that work time control is important for innovation. Based on Chinese cultural background, managers should offer employees the opportunity to conduct self-control training and encourage them with great freedom to foster employee innovation. (shrink)

Evans’ 1968 ANALOGY system was the first computer model of analogy. This paper demonstrates that the structure mapping model of analogy, when combined with high‐level visual processing and qualitative representations, can solve the same kinds of geometric analogy problems as were solved by ANALOGY. Importantly, the bulk of the computations are not particular to the model of this task but are general purpose: We use our existing sketch understanding system, CogSketch, to compute visual structure that is used (...) by our existing analogical matcher, Structure Mapping Engine (SME). We show how SME can be used to facilitate high‐level visual matching, proposing a role for structural alignment in mental rotation. We show how second‐order analogies over differences computed via analogies between pictures provide a more elegant model of the geometric analogy task. We compare our model against human data on a set of problems, showing that the model aligns well with both the answers chosen by people and the reaction times required to choose the answers. (shrink)

This paper examines preferences among uncertain prospects when the decision maker is uneasy about his assignment of subjective probabilities. It proposes a two-stage lottery framework for the analysis of such prospects, where the first stage represents an assessment of the vagueness (ambiguity) in defining the problem's randomness and the second stage represents an assessment of the problem for each hypothesized randomness condition. Standard axioms of rationality are prescribed for each stage, including weak ordering, continuity, and strong (...) independence. The ‘Reduction of Compound Lotteries' axiom is weakened, however, so that the two lottery stages have consistent, but not collapsible, preference structures. The paper derives a representation theorem from the primitive preference axioms, and the theorem asserts that preference-consistent decisions are made as if the decision maker is maximizing a modified expected utility functional. This representation and its implications are compared to alternative decision models. Criteria for assigning the relative empirical power of the alternative models are suggested. (shrink)

We introduce a new version of the perceptual retouch model. This model was used for explaining properties of temporal interaction of successive objects in reaching conscious representation. The new model incorporates two interactive binding operations – binding features for objects and binding the bound feature-objects with a large scale oscillatory system that corresponds to perceptual consciousness. Here, the typical result of masking experiments – second object advantage in conscious perception – is achieved by applying the effects of (...) a common synchronizing oscillator with a delay. This delayed modulation of each of the feature-binding first-order oscillators that represent emerging and decaying neural activities of each of the objects guarantees that the oscillating synchrony of the feature-neurons of the following object is higher than the synchrony of the feature-neurons of the first presented object. Thus we model the fact that the following object dominates the preceding object in conscious perception. We also show the capacity of the model to simulate illusory misbinding of features from different objects. The third qualitative effect, the relative release of the first object from backward masking is achieved by priming the non-specific oscillatory modulation ahead in time. (shrink)

Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in stages. Models that do span multiple developmental stages typically have parameters to “switch” between stages. We argue that by taking an embodied view, the interaction between learning mechanisms, the resulting behavior of the agent, and the opportunities for learning that the environment provides can account for the (...) class='Hi'>stage-wise development of cognitive abilities. We summarize work relevant to this hypothesis and suggest two simple mechanisms that account for some developmental transitions: neural readiness focuses on changes in the neural substrate resulting from ongoing learning, and perceptual readiness focuses on the perceptual requirements for learning new tasks. Previous work has demonstrated these mechanisms in replications of a wide variety of infant language experiments, spanning multiple developmental stages. Here we piece this work together as a single model of ongoing learning with no parameter changes at all. The model, an instance of the Epigenetic Robotics Architecture embodied on the iCub humanoid robot, exhibits ongoing multi-stage development while learning pre-linguistic and then basic language skills. (shrink)

E-Z Reader's account of the interaction between oculomotor and cognitive processes depends critically on distinguishing between early and late stages of lexical processing, because this distinction allows saccadic programming to be decoupled from shifts of attention. Precisely specifying the nature of this distinction has important implications both for current models of lexical retrieval and for the development of E-Z Reader 8.

Cognitive neuropsychiatry (CN) is the explanation of psychiatric disorder by the methods of cognitive neuropsychology. Within CN there are, broadly speaking, two approaches to delusion. The first uses a one-stage model, in which delusions are explained as rationalizations of anomalous experiences via reasoning strategies that are not, in themselves, abnormal. Two-stage models invoke additional hypotheses about abnormalities of reasoning. In this paper, I examine what appears to be a very strong argument, developed within CN, in favor of (...) a two-stage explanation of the difference in content between the Capgras and Cotard delusions. That explanation treats them as alternative rationalizations of essentially the same phenomenology. I show, however, that once we distinguish the phenomenology (and the neuroetiology), a one-stage model is adequate. In the final section I make some more general remarks on the one- and two-stage models. (shrink)

Poverty alleviation through tourism is an important way for China to achieve targeted poverty alleviation and win the battle of poverty alleviation. As a region with deep poverty and great difficulty in poverty alleviation, whether tourism development has injected key impetus into ethnic minority areas needs to be tested by both qualitative analysis and quantitative measurement. This paper takes eight ethnic provinces in China as an example to conduct an empirical study. Based on the Data Envelopment Analysis -BCC model (...) and Malmquist index, it evaluates the tourism investment and tourism poverty alleviation efficiency of the ethnic regions in the two stages of tourism poverty alleviation, and analyzes them by classification. The results of the study show: The pure technical efficiency in the first stage is relatively high, but the total factor productivity of each region is declining; The pure technical efficiency in the second stage is also relatively high, but the scale efficiency is low, and the change rate of total factor productivity of the provinces in China has increased significantly; The “double high” type includes Guangxi, Inner Mongolia, and Guizhou, and the “double low” type includes Qinghai, Yunnan, Tibet, Xinjiang, and Ningxia. The results of the study generally show that tourism poverty alleviation has brought about the improvement of the living standards of residents and the development of local economy, but the efficiency of tourism poverty alleviation needs to be improved. On this basis, the article puts forward corresponding improvement measures, in order to further help the ethnic minority areas get rid of poverty in a comprehensive way by promoting the efficient and sustainable development of tourism. (shrink)

GraphicalPatients with early- to middle-stage PD were enrolled for C-Gait assessment and traditional walking ability assessments. The correlation of C-Gait assessment and traditional walking tests were studied. Two models were established based on C-Gait assessment and traditional walking tests to explore the value of C-Gait assessment in predicting freezing of gait.ObjectiveEfficient methods for assessing walking adaptability in individuals with Parkinson’s disease are urgently needed. Therefore, this study aimed to assess C-Gait for detecting freezing of gait in patients with early- (...) to middle-stage PD.MethodPeople with PD diagnosis were recruited from April 2019 to November 2019 in Beijing Rehabilitation Hospital. The participants performed six items of walking adaptability on an instrumented treadmill augmented with visual targets and obstacles. The patient’s walking adaptability was evaluated by C-Gait assessment and traditional walking tests, and FOG-related indexes were collected as outcome measures. Two discriminant models were established by stepwise discriminant analysis; area under the receiver operating characteristic curve was used to validate the models.ResultIn total, 53 patients were included in this study. Most C-Gait assessment items had no or low correlations with traditional walking tests. The obstacle avoidance and speed of adaptation items could lead to FOG with high sensitivity. In addition, the C-Gait assessment model had slightly better discrimination of freezers from non-freezers compared with traditional walking test models ; specifically, obstacle avoidance and speed of adaptation have uniquely discriminant potential.ConclusionC-gait assessment could provide additional value to the traditional walking tests for PD. Gait adaptability assessment, as measured by C-Gait, may be able to help identify freezers in a PD population. (shrink)

In this paper I discuss the role played by disturbed phenomenology in accounting for the formation and maintenance of the Capgras delusion. Whilst endorsing a two-stage model to explain the condition, I nevertheless argue that traditional accounts prioritise the role played by some form of second-stage cognitive disruption at the expense of the significant contribution made by the patient’s disturbed phenomenology, which is often reduced to such uninformative descriptions as “anomalous” or “strange”. By advocating an interactionist (...) class='Hi'>model, I argue that the delusional belief constitutes an attempt on the part of the patient to explain his/her initially odd and somewhat disturbed phenomenal content and, moreover, that the delusion then structures the patient’s experience such that what he/she perceives is an impostor. This fact is used to explain the delusional belief’s maintenance and resistance to revision. Thus, whilst accepting that second-stage cognitive disruption has a part to play in explaining the Capgras delusion, the emphasis here is placed on the role played by the patient’s changing phenomenal content and its congruence with the delusional belief. Unlike traditional two-stage models, which posit a unidirectional progression from experience to belief, the interactionist model advocates a two-way interaction between bottom-up and top-down processes. The application of this model to other delusional beliefs is also considered. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 9.1 (2002) 55-59 [Access article in PDF] One Stage Is Not Enough Andrew W. Young and Karel W. de Pauw Keywords: delusions, Cotard delusion, Capgras delusion, cognitive neuropsychiatry. WE WELCOME THE OPPORTUNITY to offer our reflections on Philip Gerrans' interesting paper. Our opinion is that on fundamental issues we agree quite a bit—but there are clear differences when it comes to details.The most basic (...) issue concerns the nature of the enterprise. Like Gerrans, we think that it is possible to create testable accounts of the formation and maintenance of what would otherwise seem bizarre and inexplicable delusions, and that these accounts should be grounded in theoretical models of factors that underpin our everyday perception and reasoning. This general approach certainly forms part of what has been called cognitive neuropsychiatry. However, we disagree with Gerrans in that we see cognitive neuropsychiatry as an attempt to draw on the underlying logic of cognitive neuropsychology, rather than (as Gerrans implies) its current methods. The underlying logic of cognitive neuropsychological approaches has been to try to understand the effects of brain injury in terms of disruption of different components of theoretical models of normal abilities. In this approach, a model of normal performance is tested by its ability to account for the effects of brain injury. Where the model of normal performance also provides a convincing account of brain injury it is retained, and when it fails to account for effects of brain injury, it is revised or abandoned. In cognitive neuropsychiatry, the key theoretical move has been to argue that an adequate model of normal performance should be able to account for any disordered pattern (Ellis and Young 1990). The same logic of seeking to explain disordered performance by reference to models of normal function is then attempted, but for disorders that would usually fall within the province of psychiatry.In our opinion, however, cognitive neuropsychiatry will not simply involve importing the methods of cognitive neuropsychology into the new domain; they will need to be developed and adapted to fit the new agenda (Young 2000).In cognitive neuropsychology, progress has often come from the careful investigation of people with stable, selective deficits of fundamental cognitive functions involved in sensory analysis, memory, and verbal or motor output. In contrast, delusional beliefs can be relatively unstable; often they are only held for a few weeks or even days. When the delusions change, patients may modify or abandon them as suddenly as they seemed to form them, or they may give them up much more slowly and reluctantly. At the very least, this creates difficulties in the timing of investigations and in interpreting the relation of deficits and symptoms, which may be recorded on separate dates. These methodological problems [End Page 55] are exacerbated by the fact that deficits linked to complex abnormal experiences such as delusions may be multifaceted and diffuse, even when the delusions themselves have a specific content or theme. Such complications do not invalidate cognitive neuropsychiatry, but they do mean it will need to develop its own methods for dealing with them and making appropriate inferences.One of the key complexities that has surfaced already involves the idea that delusional beliefs might reflect the interaction of two or more contributory factors. Gerrans discusses a particular variant of this idea, which had been suggested by Young and Leafhead (1996) as an approach to understanding the Cotard delusion: The Cotard delusion represents a depressed person's attempt to account for abnormal perceptual experiences. It follows that the delusion is based on an unfortunate interaction between different contributory factors. One set of factors creates the abnormal perceptual experiences, which are characterised by lack of emotional responses and feelings of emptiness, depersonalisation and derealisation. The other factors result in a misinterpretation of these perceptual changes, in which the patients' depressed moods lead them correctly to attribute the changes to themselves, but to exaggerate their consequences. (Young and Leafhead, 1996, 166) Gerrans describes this as a two-stage account, but argues that a one-stage account based only on abnormal perceptual... (shrink)

Ron Giere’s recent book Scientific perspectivism sets out an account of science that attempts to forge a via media between two popular extremes: absolutist, objectivist realism on the one hand, and social constructivism or skeptical anti-realism on the other. The key for Giere is to treat both scientific observation and scientific theories as perspectives, which are limited, partial, contingent, context-, agent- and purpose-dependent, and pluralism-friendly, while nonetheless world-oriented and modestly realist. Giere’s perspectivism bears significant similarity to earlier ideas of Paul (...) Feyerabend and John Dewey. Comparing these to Giere’s work not only uncovers a consilience of ideas, but also can help to fill out Giere’s account in places where it is not fully developed, as well as helping us understand the work of these earlier authors and their continuing relevance to contemporary concerns in philosophy of science.Keywords: Ronald Giere; Paul Feyerabend; John Dewey; Perspectivism; Pragmatism; Pluralism. (shrink)

Based upon the quintuple helix model (QHM), this study explores whether the differences in firms' emission reduction effectiveness can be attributed to the five institutional helices related to educational system, economic development, political–legal system, cultural orientation, and the natural capital. Using a set of listed European firms for the 2015–2020 period, we show that firms with better emission reduction effectiveness operate in nations with more public educational expenditure and scientific production, more extensive economic development, and better institutional and governance (...) quality. Moreover, emission reduction strategies are more pronounced in firms located in countries characterized by less masculinity, individualism, power distance, and uncertainty avoidance, and more long-term orientation and indulgence. In addition, we find that companies with better emission reduction effectiveness are found in countries with more natural capital, characterized by a life in harmony with nature and employing the finite resources available in a sustainable and environmentally conscious manner. Moreover, employing a two-stage model to identify the most relevant helix, we find that the political–legal system helix is the most pivotal in promoting firms' commitment to reducing environmental emissions. (shrink)

To acquire one’s native phonological system, language-specific phonological categories and relationships must be extracted from the input. The acquisition of the categories and relationships has each in its own right been the focus of intense research. However, it is remarkable that research on the acquisition of categories and the relations between them has proceeded, for the most part, independently of one another. We argue that this has led to the implicit view that phonological acquisition is a “two-stage” process: Phonetic (...) categories are first acquired and then subsequently mapped onto abstract phoneme categories. We present simulations that suggest two problems with this view: First, the learner might mistake the phoneme-level categories for phonetic-level categories and thus be unable to learn the relationships between phonetic-level categories; on the other hand, the learner might construct inaccurate phonetic-level representations that prevent it from finding regular relations among them. We suggest an alternative conception of the phonological acquisition problem that sidesteps this apparent inevitability and acquires phonemic categories in a single stage. Using acoustic data from Inuktitut, we show that this model reliably converges on a set of phoneme-level categories and phonetic-level relations among subcategories, without making use of a lexicon. (shrink)

My model-theoretic realist account of science places linguistic systems and the corresponding non-linguistic structures at different stages of the scientific process. It is shown that science and its progress cannot be analysed in terms of only one of these strata. Philosophy of science literature offers mainly two approaches; to the structure of scientific knowledge analysed in terms of theories and their models, the "statement" and the "non-statement" approaches. In opposition to the statement approach's belief that scientific knowledge is embodied (...) in theories symbolic language) with direct interpretative links---via so-called "bridge principles"---to reality, the defenders of the non-statement approach believe in an analysis where the language in which the theory is formulated plays a much smaller role than the structures which satisfy that theory. ;The model-theoretic realism expounded here retains the notion of a scientific theory as a set of sentences, while simultaneously emphasising the interpretative role of the conceptual models of these theories. My criticism against the non-statement approach is based on the fact that merely "giving" the theory "in terms of" its mathematical structures leaves out any real interpretation of the nature and role of general terms in science. Against the statement approach's "direct" linking of general theoretical terms to reality, my approach interpolates models between theories and reality in the interpretative chain. ;The links between the general terms of scientific theories and their interpretations in the various models of the theory regulate the whole referential process. The terms of a theory are "general" in the sense that they are the result of certain abstractive conceptualisations of the object of scientific investigation and subsequent linguistic formulations of these conceptualisations. Their meanings can be "given back" only by interpreting them in the limited context, of the various conceptual models of their theory and, finally, by finding an isomorphic relation between some substructure of the conceptual model in question and some empirical conceptualisation of relevant experimental data. In this sense the notion of scientific "truth" becomes inextricably linked with that of articulated reference, as it---given its model-dependent nature---should be. (shrink)

Generative models have been proposed as a new type of non-representational scientific models recently. A generative model is characterized with the capacity of producing new models on the basis of the existing one. The current accounts do not explain sufficiently the mechanism of the generative capacity of a generative model. I attempt to accomplish this task in this paper. I outline two antecedent accounts of generative models. I point out that both types of generative models function to generate (...) new homogenous models in the sense that the latter is a straightforward derivative of the former, both of which share many similar features. Unfortunately, both accounts are implicit about the generative capacity of generative models. Using a case study, I articulate that a two-staged process of abstraction and idealization in modeling may contribute to the generative capacity of a scientific model. I also demonstrate that this two-staged process may go beyond the capacity of generating new homogenous models to generating new heterogeneous models. (shrink)