Online research in philosophy

In science, models are used in many different ways: to test empirical hypotheses, to help in theory formation, to visualize data, and so on. Scientists construct and study the behavior of models, and compare this to observed behavior of a target system. We propose that for this to be possible models must carry information about their targets. When models are viewed as information carrying entities, this property can be used as a foundation for a representational theory of models. This account presents a way of avoiding the need to refer to modelers’ intentions (or their mental states) as constitutive of the semantics of scientific representations. Moreover, an information theory based account of scientific representations can provide a naturalistic account of models which can deal the problems of asymmetry, relevance and circularity that afflict currently popular proposals based on user intentions. From the information semantic perspective, models as scientific representations can be considered a special case of a larger problem of naturalistic representation. In this paper we will look at what we think is the most promising avenue of developing this information theoretic account of representational models. Traditionally, there has been a strong tendency towards a clear-cut division of labor between philosophers of science and philosophers of mind. We believe that there are some important philosophical insights about representation that are relevant for both camps.

Discourse Representation Theory is a specific name for the work of Hans Kamp in the area of dynamic interpretation of natural language. Also, it has gradually become a generic term for proposals for dynamic interpretation of natural language in the same spirit. These proposals have in common that each new sentence is interpreted in terms of the contribution it makes to an existing piece of interpreted discourse. The interpretation conditions for sentences are given as instructions for updating the representation of the discourse.

This paper embeds the core part of Discourse Representation Theory in the classical theory of types plus a few simple axioms that allow the theory to express key facts about variables and assignments on the object level of the logic. It is shown how the embedding can be used to combine core analyses of natural language phenomena in Discourse Representation Theory with analyses that can be obtained in Montague Semantics.

Weak links, in the form of inadequacies in both reasoning and supporting evidence, exist at several critical steps in the derivation of an hierarchical concept of evolution from punctuated equilibria. Punctuation itself is predicated on a distorted reading of phyletic change as phyletic gradualism, and of allopatric speciation as the instantaneous formation of unchanging typological taxa. The concept of punctuation is further confounded by the indescriminate employment of the same term to denote both a causal explanation for evolutionary change and an outcome of substantiated evolutionary processes. Even when the intended usage for the term is specified, each denotation of punctuation entails respective drawbacks. As a causal explanation, punctuation clearly belongs to the class of quantum theories with all their attendant impedimenta, including special salsatory non-adaptive mechanisms of evolutionary change. Redefinition of punctuation as a pattern of morphologic change reduces it to one possible outcome of known microevolutioanry processes, thus obviating any need for an hierarchical explanation of macroevolution. While vacillation between usages has preserved the term in the literature, the end result of this obfuscation has been a circle of faulty reasoning in which the pattern of punctuation is invoked as its own proof. Widespread confusion concerning what constitutes an adequate test of punctuation is directly attributable to imprecision in both the original and revised formulations of the concept.The argument for species-level selection is based on the typological and philosphically flawed premise of species as individuals, and further requires the hypothesis of heritable emergent properties, for which empirical evidence is lacking.

The syntactic domain of tense is the clause: tense appears in some form in every clause of a tensed language. Semantic interpretation of tense requires information from context, however. This has been clear at least since Partee's 1984 demonstration of the anaphoric properties of tense. In this talk I will show that the facts about context are quite complex, perhaps more so than has been appreciated. There are three patterns of tense interpretation, depending on the type of discourse context in which a clause appears. I will introduce the notion of discourse mode to account for the different types of context.1 I offer an interpretation of tense in Discourse Representation Theory, a framework which is organized to deal with information from the context. I also show that a syntactically based theory can handle contextually-based tense interpretation. In §1 I set out the basic analysis of tense and show how it applies to sentences in isolation. §2 discusses types of discourse context and patterns of tense interpretation; §3 considers the formal analysis of tense; §4 concludes with a summary and a prediction about temporal interpretation in tenseless languages.

This document provides a system of punctuation that is based on the syntax of English sentences. It accords with the practice of leading publishers, and it conforms to the recommendations of such publications as The New York Public Library Writer’s Guide to Style and Usage. Skillful writers often punctuate in ways that violate this system of punctuation, but they have earned the right to do so: they know what they are doing and why. If you master the system presented in this document, you will not make errors of punctuation that teachers and editors will want to correct. You will also have the ability to justify your occasional departures from the rules: you will understand why your usage is preferable in the circumstances.

This document provides a system of punctuation that is based on the syntax of English sentences. It accords with the practice of leading publishers, and it conforms to the recommendations of such publications as The New York Public Library Writer’s Guide to Style and Usage. Skillful writers often punctuate in ways that violate this system of punctuation, but they have earned the right to do so: they know what they are doing and why. If you master the system presented in this document, you will not make errors of punctuation that teachers and editors will want to correct. You will also have the ability to justify your occasional departures from the rules: you will understand why your usage is preferable in the circumstances.

Some recent studies in computational linguistics have aimed to take advantage of various cues presented by punctuation marks. This short survey is intended to summarise these research efforts and additionally, to outline a current perspective for the usage and functions of punctuation marks. We conclude by presenting an information-based framework for punctuation, influenced by treatments of several related phenomena in computational linguistics.

We take em-dash as our sample punctuation mark and examine its usage from a discourse perspective, using sentences from well-known corpora. We particularly comment on how dashes can give hints on information structure, focus, and anaphora. Throughout the paper Discourse Representation Theory is used as a framework. Keywords: Punctuation, Discourse, Discourse Representation Theory, Information Structure..

We o er a preliminary account of the information-based aspects of punctuation marks. We give our initial treatment within the Discourse Representation Theory and its segmented version. We hypothesize that this work will be useful in classifying the informational contributions of punctuation marks and bringing them to bear on the semantic characterization of written discourse.