The classic problem within the information quality (IQ) research and practice community has been the problem of defining IQ. It has been found repeatedly that IQ is context sensitive and cannot be described, measured, and assured with a single model. There is a need for empirical case studies of IQ work in different systems to develop a systematic knowledge that can then inform and guide the co...

In The Mind Doesn ’ t Work That Way , Jerry Fodor argues that mental representations have context sensitive features relevant to cognition, and that, therefore, the Classical Computational Theory of Mind (CTM) is mistaken. We call this the Globality Argument. This is an in principle argument against CTM. We argue that it is self-defeating. We consider an alternative argument constructed from ma...

Adherents of two-dimensionalist semantics have devised a powerful argument to show that the Kripke-Putnam semantics is in need of an overhaul. Kripke and Putnam take “Water is H2O” to be necessary as well a posteriori. But that cannot be true. For to claim that a proposition is necessary is to claim that it is true in all contexts, whilst to maintain that it is a posteriori or informative is to...

In this paper we set out the preliminaries needed for a formal theory of context, relative to a linguistic framework in which naturallanguage syntax is defined as procedures for context-dependent interpretation. Dynamic Syntax provides a formalism where both representations of content and context are defined dynamically and structurally, with time-linear monotonic growth across sequences of par...

Two-dimensional semantics is a formal framework used to characterize the meaning of sentences and sub-sentential expressions and distinguished by the view according to which the extension of an expression depends on two dimensions. Contextual philosophical interpretations of that framework intend to capture how the extension of an expression depends on context. These interpretations have been a...

Lexical states provide a powerful mechanism to scan regular expressions in a context sensitive manner. At the same time, lexical states also make it hard to reason about the correctness of the grammar. We first categorize the related correctness issues into two classes: errors and warnings. and then present a context sensitive and a context insensitive analysis to identify errors and warnings i...

Online adaptive tutoring systems are increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian knowledge tracing (BKT) is used to model student knowledge when knowledge is assumed to be changing throughout a single assessment period. The basic...

We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networks. This approach provides recommendations that are accurate and fast to train because only the URLs relevant to a specific profile are used to define the architecture of each network. Similar to the task of completing the miss...

We propose a conceptual framework for implementing intelligent assistant systems (IASs) that (1) work on experience base instead of knowledge base, and (2) deal with the decision-making process and not the result only. Considering experts' experience instead of the domain knowledge supposes to have a uniform representation of elements of knowledge, reasoning and contexts. We propose Contextual ...

This paper introduces an architecture for rhythm recognition and comparative analysis. A fuzzy system is used to rate segmentation and structural assignment produced by combinatorial pattern-matching. The fuzzy system can be trained by examples. It provides fault tolerant, context sensitive and adaptive recognition of musical rhythm with a description of temporal and structural deviations.