A Dynamic Version of Hylomorphism

This paper presents a version of hylomorphism that intends to solve problems faced by contemporary hylomorphism. After showing that attempts to understand form as sets or relation of essential properties fail at taking into account the dynamic development of substances, the paper suggests another version of hylomorphism able to solve these difficulties. A functionalist version of hylomorphism is then defended: the best way to understand how form can be present throughout all the developmental stages of a substance is to understand it as a certain kind of function.     

Hylomorphism and the Construct of Consciousness

Topoi - The hard problem of consciousness has held center stage in the philosophy of mind for the past two decades. It claims that the phenomenal character of conscious experiences—what...     

Hylomorphism and Human Wholeness: Perspectives on the Mind-Brain Problem

The relation between mind and matter has always been a conundrum in Western philosophy. Now framed as the mind-brain problem, it is often addressed through reductionism or dualism. As empirical science has become more aware of instances of emergence and top-down causality, however, it has developed a new appreciation of the wholeness of individuals or systems. By retrieving some aspects of Aristotle's philosophy of hylomorphism, we may better understand the metaphysical grounding of human wholeness and so develop an integrated account of the human person, including mind and brain.     

亚里士多德的形式-质料关系与功能性质料和构成性质料的区分——论J.惠廷对形质关系的调和解释

对于亚里士多德的形式-质料关系似乎存在着两种相矛盾的解释.一种解释认为质料的存在独立于形式,二者的关系是偶然的,这主要体现在运动理论中;另一种认为质料的存在依赖于形式,二者的关系是必然的,这主要体现在身体与灵魂的关系中.亚里士多德是否持有两种相矛盾的质形论呢?或者这两种看似矛盾的理论是否可以调和?J.惠廷提供了一种调和解释,她认为功能性质料和构成性质料的区分可以解决这个矛盾.然而,这种调和解释是不成功的,不仅因为她的几个重要的预设都不成立,更是因为根本不存在需要调和的矛盾.亚里士多德的质形关系只有一种,而矛盾的产生则源于我们对于质料概念的误解.     

Models for Counterparts

Lewis proposed to test the validity of a modal thesis by checking whether its possible-world translation is a theorem of counterpart theory. However, that criterion fails to validate many standard modal laws, thus raising doubts about the logical adequacy of the Lewisian framework. The present paper considers systems of counterpart theory of increasing strength and shows how each can be motivated by exhibiting a suitable intended model. In particular, perfect counterpart theory validates all the desired modal laws and therefore provides a way out of the logical objection. Finally, a weakening of perfect counterpart theory is put forward as a response to some metaphysical objections.     

Modal Correspondence for Models

This paper considers the correspondence theory from modal logic and obtains correspondence results for models as opposed to frames. The key ideas are to consider infinitary modal logic, to phrase correspondence results in terms of substitution instances of a given modal formula, and to identify bisimilar model-world pairs.     

Models for choice-reaction time

In the two-choice situation, the Wald sequential probability ratio decision procedure is applied to relate the mean and variance of the decision times, for each alternative separately, to the error rates and the ratio of the frequencies of presentation of the alternatives. For situations involving more than two choices, a fixed sample decision procedure (selection of the alternative with highest likelihood) is examined, and the relation is found between the decision time (or size of sample), the error rate, and the number of alternatives.     

Models,Models, and Models

Michael Dummett famously maintained that analytic philosophy was simply philosophy that followed Frege in treating the philosophy of language as the basis for all other philosophy (1978, 441). But one important insight to emerge from computer science is how difficult it is to animate the linguistic artifacts that the analysis of thought produces. Yet, modeling the effects of thought requires a new skill that goes beyond analysis: procedural literacy. Some of the most promising research in philosophy makes use of a variety of modeling techniques that go beyond basic logic and elementary probability theory. What unifies this approach is a focus on what Alan Perlis called procedural literacy. This essay argues that the future spoils in philosophical research will disproportionally go to those who are procedurally literate.     

Trifactor Models for Multiple-Ratings Data

In this study we extend and assess the trifactor model for multiple-ratings data in which two different raters give independent scores for the same responses (e.g., in the GRE essay or to subset of PISA constructed-responses). The trifactor model was extended to incorporate a cross-classified data structure (e.g., items and raters) instead of a strictly hierarchical structure. we present a set of simulations to reflect the incompleteness and imbalance in real-world assessments. The effects of the rate of missingness in the data and of ignoring differences among raters are investigated using two sets of simulations. The use of the trifactor model is also illustrated with empirical data analysis using a well-known international large-scale assessment.     

Models for relevant modal logics

Semantics are given for modal extensions of relevant logics based on the kind of frames introduced in [7]. By means of a simple recipe we may obtain from a class FRM (L) of unreduced frames characterising a (non-modal) logic L, frame-classes FRM (L.M) characterising conjunctively regular modal extensions L.M of L. By displaying an incompleteness phenomenon, it is shown how the recipe fails when reduced frames are under consideration.     

Term Models for Abstraction Principles

Kripke’s notion of groundedness plays a central role in many responses to the semantic paradoxes. Can the notion of groundedness be brought to bear on the paradoxes that arise in connection with abstraction principles? We explore a version of grounded abstraction whereby term models are built up in a ‘grounded’ manner. The results are mixed. Our method solves a problem concerning circularity and yields a ‘grounded’ model for the predicative theory based on Frege’s Basic Law V. However, the method is poorly behaved unless the background second-order logic is predicative.     

Models for deferred decision making

Deferred decision theory assumes two simple hypotheses, observations that are purchased sequentially, losses for incorrect terminal decisions, and a constant loss per observation which may depend on the true hypothesis. After every observation, the decision maker may either make a terminal decision and incur a terminal loss if he is incorrect or purchase another observation; his objective is to minimize subjectively expected loss.     

Component Models for Fuzzy Data

The fuzzy perspective in statistical analysis is first illustrated with reference to the “Informational Paradigm” allowing us to deal with different types of uncertainties related to the various informational ingredients (data, model, assumptions). The fuzzy empirical data are then introduced, referring to J LR fuzzy variables as observed on I observation units. Each observation is characterized by its center and its left and right spreads (LR₁ fuzzy number) or by its left and right “centers” and its left and right spreads (LR₂ fuzzy number). Two types of component models for LR₁ and LR₂ fuzzy data are proposed. The estimation of the parameters of these models is based on a Least Squares approach, exploiting an appropriately introduced distance measure for fuzzy data. A simulation study is carried out in order to assess the efficacy of the suggested models as compared with traditional Principal Component Analysis on the centers and with existing methods for fuzzy and interval valued data. An application to real fuzzy data is finally performed. We would like to express our gratitude to the Editor, the Associate Editor, and the Referees whose comments and suggestions improved significantly the quality of the paper.     

Models for ordinal hierarchical classes analysis

This paper proposes an ordinal generalization of the hierarchical classes model originally proposed by De Boeck and Rosenberg (1998). Any hierarchical classes model implies a decomposition of a two-way two-mode binary arrayM into two component matrices, called bundle matrices, which represent the association relation and the set-theoretical relations among the elements of both modes inM. Whereas the original model restricts the bundle matrices to be binary, the ordinal hierarchical classes model assumes that the bundles are ordinal variables with a prespecified number of values. This generalization results in a classification model with classes ordered along ordinal dimensions. The ordinal hierarchical classes model is shown to subsume Coombs and Kao's (1955) model for nonmetric factor analysis. An algorithm is described to fit the model to a given data set and is subsequently evaluated in an extensive simulation study. An application of the model to student housing data is discussed.