EARL—Embodied Agent-Based Robot Control Systems Modelling Language

Agent-Based Control Systems

Agent-Based Architecture Modelling for Interactive Systems

Architectural modelling is becoming a central problem for large, complex systems. With the advent of new technologies and user-centred concerns, the user interface portion of interactive systems is becoming increasingly large and complex. In this article, we discuss agent-based architectural styles and show how sound tradeoffs between conflicting requirements and properties can be done using th...

Analysing Urban Systems using Agent-Based Modelling

Simulated agents are faced with the selection of a residence, and use market and non-market factors in decision making. From the field of discrete choice theory, a preference based utility calculation is linked to the attributes of properties, as provided from GIS data and populated from a variety of secondary literature sources. In a second decision making step, the affordability of residences...

Relevance-based language modelling for recommender systems

Relevance-Based Language Models, commonly known as Relevance Models, are successful approaches to explicitly introduce the concept of relevance in the statistical Language Modelling framework of Information Retrieval. These models achieve state-of-the-art retrieval performance in the pseudo relevance feedback task. On the other hand, the field of Recommender Systems is a fertile research area w...

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...