GEAMAS is a knowledge engineering environment for multi-agent simulation of complex systems. The basic architecture of GEAMAS is designed around three dimensions: MultiAgent Systems (MAS) software design, MAS knowledge abstraction and MAS services dimension. Each one of this third aspects, is implemented into several modular open software layers. First, the paper argues the benefits of a such a...

A new genuinely multi-dimensional relaxation scheme is proposed. Based on a new discrete velocity Boltzmann equation, which is an improvement over previously introduced relaxation systems in terms of isotropic coverage of the multi-dimensional domain by the foot of the characteristic, a finite volume method is developed in which the fluxes at the cell interfaces are evaluated in a genuinely mul...

Extant literature on the adoption of cloud computing has focused on organizational users, but little is known about how individual users accept cloud computing to fulfill individual needs. To fill the gap, this study draws upon multiple theories to examine factors that influence individuals’ intention to use cloud applications. It shows that a person’s attitude toward cloud applications, subjec...

In this paper, two significant weaknesses of locally linear embedding (LLE) applied to computer vision are addressed: ‘‘intrinsic dimension’’ and ‘‘eigenvector meanings’’. ‘‘Topological embedding’’ and ‘‘multi-resolution nonlinearity capture’’ are introduced based on mathematical analysis of topological manifolds and LLE. The manifold topological analysis (MTA) method is described and is based ...

Visual working memory (VWM) is a key cognitive system that enables people to hold visual information in mind after a stimulus has been removed and compare past and present to detect changes that have occurred. VWM is severely capacity limited to around 3-4 items, although there are robust individual differences in this limit. Importantly, these individual differences are evident in neural measu...

This paper identifies the foundations for an architectural description language (ADL) to specify multi-agent system architectures for information systems. We propose a set of system architectural concepts based on the BDI agent model and existing classical ADLs. We then conceptualize SKwyRL-ADL, aimed at capturing a “core” set of structural and behavioral concepts, including relationships that ...