The usual source of crosshnguistic influence in the interlanguage of a person learning a first foreign language (L2) is quite obviously his/her LI Pinpointing the source of crosshnguistic influences in the interlanguage of a multilingual speaker is less straightforward The main source of crosshnguistic influence m the L3 of a speaker is not automatically, as the present study shows, the LI of t...

We develop a spreading activation model, which we call the category activation model, to predict where within a category structure consumers are likely to position a subcategory that they have created to accommodate a new hybrid product. Based on this model, we hypothesize that the probability that an individual will position a new category subordinate to a particular category i is proportional...

This paper introduces a means to handle the critical problem of nonlocal role-bindings in localist spreading-activation networks. Every conceptual node in the network broadcasts a stable, uniquely-identifying activation pattern, called its signature. A dynamic role-binding is created when a role's binding node has an activation that matches the bound concept's signature. Most importantly, signa...

This paper describes a computational cognitive model of human language processing under development in the ACTR cognitive architecture. The paper begins with the context for the research, followed by a discussion of the primary theoretical and modeling commitments. The main theoretical commitment is to develop a language model which is at once functional and cognitively plausible. The paper con...

John Q. Public, a computational model of political cognition which incorporates both cognitive and affective mechanisms, is employed as a voter facing political campaign information. A series of hypothetical, computational experiments show that the model successfully reproduces a set of well-known empirical phenomena found in electoral research and research on political cognition. Specifically,...

Recent developments in recommendation algorithms have focused on integrating Linked Open Data to augment traditional algorithms with background knowledge. These developments recognize that the integration of Linked Open Data may offer better performance, particularly in cold start cases. In this paper, we explore if and how a specific type of Linked Open Data, namely hierarchical knowledge, may...

We examined the influence of the pre-existing organization of the semantic memory on forming new episodic associations between words. Testing human subjects’ performance we found that a semantic relationship between words facilitates forming episodic associations between them. Furthermore, the amount of facilitation increases linearly as a function of the number of cooccurrence of the words, up...

Social bookmark services like del.icio.us enable easy annotation for users to organize their resources. Collaborative tagging provides useful index for information retrieval. However, lack of sufficient tags for the developing documents, in particular for new arrivals, hides important documents from being retrieved at the earlier stages. This paper proposes a spreading activation approach to pr...

Association mining aims to find valid correlations among data attributes, and has been widely applied to many areas of data analysis. This paper presents a semantic network-based association analysis model including three spreading activation methods. It applies this model to assess the quality of a dataset, and generate semantically valid new hypotheses for adaptive study design especially use...

Useless paths are a chronic problem for marker-passing techniques. We use a prob­ abilistic analysis to justify a method for quickly identifying and rejecting useless paths. Using the same analysis, we identify key conditions and assumptions necessary for marker-passing to perform well.