Within knowledge ngineering a new research paradigm is emerging based on the Multi-Agent System (MAS) architectural framework, allowing human and software agents to interoperate and thus cooperate within common application areas. Such a vision entails bridging the different "’views of the world" of knowledgeable agents through the commitment to common definitions of the conceptual entities and ...

Although explicit and implicit knowledge of language learners are essential to theoretical and pedagogical debates in second language acquisition (SLA), little research has addressed the effects of instructional interventions on the two knowledge types (R. Ellis, 2005).This study examined the relative effectiveness of explicit and implicit types of form-focused instruction (FFI) on the acquisit...

In this work, we explore the benefits of combining clustering and social trust information for Recommender Systems. We demonstrate the performance advantages of traditional clustering algorithms like kMeans and we explore the use of new ones like Affinity Propagation (AP). Contrary to what has been used before, we investigate possible ways that social-oriented information like explicit trust co...

To explicitly detect baseball events, a multimodal approach that combines the decisions of visual and speech event detection is proposed. We respectively perform event detection from visual and speech perspectives and estimate the corresponding confidences. By combining the decisions from different modalities, the detection performance increases by 8% ~ 20%, in terms of F1 metric. This work ach...

This study investigated potential differences in learning between two instructional activities: reading from a text and using a computer simulation. Participants were undergraduate students with limited knowledge of the domain topic (project management). Participants in both conditions (Simulation and Text) improved equally on a decontextualized, abstract knowledge assessment. In contrast, only...

Please cite this article in press as: Zhu, S.-C., e (2009), doi:10.1016/j.patrec.2009.07.020 Natural images have a vast amount of visual patterns distributed in a wide spectrum of subspaces of varying complexities and dimensions. Understanding the characteristics of these subspaces and their compositional structures is of fundamental importance for pattern modeling, learning and recognition. In...

In order to gain some insight in how to assist understanding and performance in dynamic systems, participants were asked to interact with a predator-prey system on a personal computer. Their task was to achieve equilibrium by controlling the size of the predator population. Results were presented in line graphs in all three conditions. In one condition pictures illustrating the population sizes...

This paper presents a novel explicit exploration information exchange mechanism for niche technique. In this framework, the whole population is divided into many sub-populations. The different sub-population communicates with each other. One sub-population exploration area does not be explored by others. Based on this framework, a multi-sub-swarm particle swarm optimization (MSSPSO) algorithm i...

The field of information retrieval and text manipulation (classification, clustering) still strives for models allowing semantic information to be folded in to improve performance with respect to standard bag-of-word based models. Many approaches aim at a concept-based retrieval, but differ in the nature of the concepts, which range from linguistic concepts as defined in lexical resources such ...

We study the cohesive coordinated collective motion of a group of mobile autonomous robots. We use virtual interactions between robots implemented via proximal control, a method that allows the robots to reach a stable formation using virtual potential functions (Turgut et al., 2008; Ferrante et al., 2011). The alignment component can be seen as a mechanism for directional information transfer ...