We present an agent-based model of cultured lung alveolar type II (AT II) cells and simulation results that provide early insight into generative principles underpinning alveolar morphogenesis in 3D cell cultures. We also describe a supporting framework and system-level agents that manage simulation experiments. The AT II cell-mimetic analogue comprises discrete components that represent cells ...

This paper describes workshops as a means for generative research. The workshops are based on a need to a collaborative arena for sharing perspectives and creating shared visions. The paper presents the principles, and user and expert workshop processes in three cases. The workshops were events that gathered various actors to face-to-face collaboration and challenged them to perceive anew the o...

The incorporation of performance analysis in the early stages of software development has proven to be an elusive goal. Since the appearance of Connie Smith’s seminal work on Software Performance Engineering (SPE) in 1990 [13], numerous approaches to and methodologies for linking design and performance analysis have been studied and developed, as can be seen in [16], [17], and [1]. Yet through ...

Recursive Neural Networks are non-linear adaptive models that are able to learn deep structured information. However, these models have not yet been broadly accepted. This fact is mainly due to its inherent complexity. In particular, not only for being extremely complex information processing models, but also because of a computational expensive learning phase. The most popular training method ...

The objective of the present paper is to analyse syntactic ambiguity of prepositional groups (Pg’s) within the background of dependency oriented Functional Generative Description (FGD). Several basic types of Pg-ambiguity are presented and the possibilities of searching for their occurrences in the Prague Dependency Tree Bank (PDT) is illustrated. Criteria for automatic Pg-ambiguity detection a...

Major speech production models from speech science literature and a number of popular statistical “generative” models of speech used in speech technology are surveyed. Strengths and weaknesses of these two styles of speech models are analyzed, pointing to the need to integrate the respective strengths while eliminating the respective weaknesses. As an example, a statistical task-dynamic model o...

In this paper we present a thrust in three directions of visual development using supervised and semi-supervised techniques. The first is an implementation of semi-supervised object detection and recognition using the principles of Soft Attention and Generative Adversarial Networks (GANs). The second and the third are supervised networks that learn basic concepts of spatial locality and quantit...

Examining the role of dispositions (potentials and propensities) in both physics and psychology reveals that they are commonly derivative dispositions, so called because they derive from other dispositions. Furthermore, when they act, they produce further propensities. Together, therefore, they appear to form discrete degrees within a structure of multiple generative levels. It is then construc...

Swarms are a metaphor for complex dynamic systems. In swarms, large numbers of individuals locally interact and form non-linear, dynamic interaction networks. Ants, wasps and termites, for instance, are natural swarms whose individual and group behaviors have been evolving over millions of years. In their intricate nest constructions, the emergent effectiveness of their behaviors becomes appare...

The paper reports on the development and experimental implementation of a combined methodology of knowledge transfer from an existing lexical resource with a view to semiautomatically inducing a new lexicon, in a cross-language environment. The source resource, a multi-layered Italian lexicon whose theoretical approach to the content and representation of semantic information follows the genera...