Two competing psychological approaches to causal learning make different predictions regarding what aspect of perceived causality is generalized across contexts. Two experiments tested these predictions. In one experiment, the task required a judgment regarding the existence of a simple causal relation; in the other, the task required a judgment regarding the existence of an interaction between...

challenges that relate mainly to educational content, cultural and linguistic sensitivity, on-site infrastructure and appropriate needed that address these challenges. This paper reports on a case study involving two refugees living in Dadaab Refugee constraints encountered by these learners, describes temporary solutions adopted as the course evolved, and proposes longterm solutions to be envi...

An incremental semantics for a logic with dynamic binding is developed on the basis of a variable free notation for dynamic logic that takes its cue from De Bruijn's variable free notation for lambda calculus. De Bruijn indexing replaces variables by indices which indicate the distance to their binders. We propose to use reverse De Bruijn indexing, which works almost the same, only now the indi...

In a recent, welcome contribution, Predelli (2013) presents a fruitful and powerful framework on how truth-conditional semantics can deal with non-truth-conditional meaning. One of the gifts of Predelli’s contribution is that it presents a unifying theory dealing with seemingly various phenomena often relegated to the pragmatics dustbin. Thus, nicknames, slurs, answering machines/post-its, voca...

2010 This dissertation consists of a extended introduction, including synopsis of the conceptual development and supplementary material, and these papers:

A separation context is a client program which does not dereference internals of the module with which it interacts. We use precise relations to unambiguously describe the storage of the module. We prove that separation contexts preserve such relations, as well as interesting properties of separation contexts in connection with refinement.

Contextual information plays a key role in the automatic interpretation of text. This paper is concerned with the identification of textual contexts. A context taxonomy is introduced first, followed by an algorithm for detecting context boundaries. Experiments on the detection of subjective contexts using a machine learning model were performed using a set of syntactic features.

Within large corpora of texts, Knowledge-Rich Contexts (KRCs) are a subset of sentences containing information that would be valuable to a human for the construction of a knowledge base. The entry point to the discovery of KRCs is the automatic identification of Knowledge Patterns (KPs) which are indicative of semantic relations. Machine readable dictionary serves as our starting point for inve...

We introduce and investigate a new way of generating mildly context-sensitive languages. The main idea is that the contexts are adjoined by shu ing them on certain trajectories. In this way we obtain also a very general class of contextual grammars such that most of the fundamental classes of contextual grammars, for instance, internal contextual grammars, external contextual grammars, n-contex...