Dispersed oils (i.e., oil droplets) at sea are transported by convection due to waves and buoyancy and by turbulent diffusion. This work follows the common approach in the oil community of using a Lagrangian approach instead of the Eulerian approach. Our focus was on small scale simulation of oil plumes subjected to regular waves. Stokes’ theory was used to obtain analytical expressions for wav...

An efficient retrieval of a relatively small number of relevant cases from a huge case base is a crucial subtask of Case-Based Reasoning (CBR). In this article, we investigate Case Retrieval Nets, a memory model for this task which is applicable in any domain with attribute-based case representations. The main idea is to apply a restricted spreading activation process in the case memory in orde...

The present study was an attempt to replicate and extend Brown's (1979) finding of inhibition in retrieval from semantic memory produced by presentation of semantically related primes. Subjects' speed and accuracy in answering generalknowledge questions (e.g., Who was the first man to walk on the moon?) were measured when the question was preceded by one of four different prime types: neutral (...

We study the diffusive logistic equation with a free boundary in higher space dimensions and heterogeneous environment. Such a model may be used to describe the spreading of a new or invasive species, with the free boundary representing the expanding front. For simplicity, we assume that the environment and the solution are radially symmetric. In the special case of one space dimension and homo...

Models of automatic priming of word identification can be divided into those based on associative relations (e.g., spreading activation) and others based on semantic similarity (e.g., distributed models). In three experiments, associative relatedness was manipulated by presenting asymmetrically associated word pairs in both their forward and backward directions. Priming was comparable in both d...