The emergence of large information systems has pushed software specification into the area of business modelling to adequately capture and consider business requirements. At the same time, there has been a move toward techniques for specifying the behaviours of and the knowledge associated with intelligent agents as these are increasingly found as important components of those information syste...

We study the task of directly modelling a visually intelligent agent. Computer vision typically focuses on solving various subtasks related to visual intelligence. We depart from this standard approach to computer vision; instead we directly model a visually intelligent agent. Our model takes visual information as input and directly predicts the actions of the agent. Toward this end we introduc...

OBJECTIVE To introduce the focus theme of Methods of Information in Medicine on Intelligent Data Analysis for Knowledge Discovery, Patient Monitoring and Quality Assessment. METHODS Based on two workshops on Intelligent Data Analysis in bioMedicine (IDAMAP) held in Washington, DC, USA (2010) and Bled, Slovenia (2011), six authors were invited to write full papers for the focus theme. Each pap...

Collaboration between peers is an important aspect of the learning process and can considerably augment learning in studying complex domains. To ensure that peer collaboration occurs within unfamiliar situations such as those provided by Virtual Learning Environments, support for collaborative activities needs to be offered to learners. This support can be provided using intelligent agents that...

This paper presents the theoretical foundations of an intelligent online modelling tool capable of processing heterogeneous information on complex techno-economical systems. Its main functionality is to investigate, elicit, and apply rules and principles that govern the development processes of technologies and related markets. Specifically, we will focus on applications of the tool to model th...

Discrete event simulation has been successfully employed as an analysis tool for predicting the effect changes have on existing and hypothetical systems. This insight allows for more informed appraisals of alternatives, greatly enhancing the planning function. Simulation modelling allows microscopic analysis of complex system dynamics giving the intimate understanding required to maximise the e...

This paper is about different techniques for intelligent processing of data obtained with water quality monitoring distributed systems. The techniques include a set of fuzzy neural networks (FuNNs) for modelling measuring channels and Kohonen Self Organizing Maps (K-SOMs) for information classification. Elements of FuNN and K-SOM optimization in terms of architecture and training are presented ...

This paper presents the Transport Disruption ontology, a formal framework for modelling travel and transport related events that have a disruptive impact on traveller’s journeys. We discuss related models, describe how transport events and their impacts are captured, and outline use of the ontology within an interlinked repository of the travel information to support intelligent transport systems.

In this paper we present i•com, a tool for intelligent conceptual modelling. i•com allows for the specification of multiple EER diagrams and interand intra-schema constraints. Complete logical reasoning is employed by the tool to verify the specification, infer implicit facts, and manifest any inconsistencies.

0-7803-7952-7/03/$17.00  2003 IEEE. Abstract This paper discusses the problem of modelling and simulation of traffic systems, and presents the traffic simulator SITS (Simulator of Intelligent Transportation Systems). The SITS is based on a microscopic simulation approach considering different types of vehicles, drivers and roads. A dynamical analysis of several traffic phenomena is then addres...