We present a bi-objective model for a green truck scheduling and routing problem at a cross-docking system. This model determines three key decisions at the cross dock: (1) defining a sequence and schedule of inbound trucks at the receiving door, (2) specifying a sequence and a schedule of outbound trucks at the shipping door, and (3) determining the routes of the outbound truck while serving c...

The present study extends earlier research carried out by Cleary and Pisoni (2001) who found that measures of auditory sequence learning, using the Simon memory game procedure, were related to open-set spoken word recognition and language comprehension. Sequence learning scores were obtained from a new group of profoundly deaf children with cochlear implants. Two different measures of sequence ...

BACKGROUND The ability to detect and integrate associations between unrelated items that are close in space and time is a key feature of human learning and memory. Learning sequential associations between non-adjacent visual stimuli (higher-order visuospatial dependencies) can occur either with or without awareness (explicit vs. implicit learning) of the products of learning. Existing behaviour...

In this paper we present a system that assigns interpretations, in the form of shallow semantic frame descriptions, to natural language sentences. The system searches for relevant patterns, consisting of words from the sentences, to identify the correct semantic frame and associated slot values. For each of these choices, a separate classifier is trained. Each classifier learns the boundaries b...

A model of the hippocampus as a cognitive map inspired by the models of Burgess et al and Jensen et al is pro posed Simulations show that the resulting navigation behavior is as e cient as the behavior exhibited by previous models However the archi tecture of the proposed model and the mechanisms governing the tem poral characteristics of the neurons in the model are more realistic In particula...

This paper describes application possibilities for statistical methods and particulary hidden Markov models in the domain of sequence learning after treating the required basics. Especially the task of natural language processing is treated by elaborating on speech recognition and speech translation. Furthermore a network intrusion detection system to detect complex and coordinated Internet att...

The main purpose of the present study was to examine whether implicit learning abilities, assessed by means of a serial reaction time task, are present to the same extent in 6- and 10-year-old children as in adults. We also wondered whether the knowledge acquired after one learning session is retained after a 1-week delay. And finally, we studied the explicit knowledge developed by the children...

Through the use of double task conditions, the sequence learning (SL) paradigm offers unique opportunities to study the relationships between learning and attention. In their original study, Nissen & Bullemer (1987) argued that a secondary tone-counting task prevents SL because it exhausts participants’ attentional resources. Other authors have instead suggested that the detrimental effects of ...