Multidimensional dynamic logic programs are a paradigm which allows to express (partially) hierarchically ordered evolving knowledge bases through (partially) ordered multi sets of logic programs. They solve contradictions among rules in different programs by allowing rules in more important programs to reject rules in less important ones. This class of programs extends the class of dynamic log...

A financial crisis is typically a rare kind of an event, but it hurts sustainable economic development when it occurs. This study proposes a multiscale neural network learning paradigm to predict financial crisis events for early-warning purposes. In the proposed multiscale neural network learning paradigm, currency exchange rate, a typical financial indicator that usually reflects economic flu...

Agent Technology provides a new methodology in implementing workflow environments. This paper is concerned with how this shift in paradigm affects traditional security concepts like access control and separation of duty principles. The discussion focuses on the implementation of task allocation in an agent-based workflow environment (AWE) that is currently being developed. Task allocation is fu...

We present an analytical model, based on a Fixed Point Approximation (FPA) solution, that can be used to derive the performance of different sets of TCP connections that share, and compete for, a common resource, typically a link and its associated buffer. A set of TCP connections is a group of connections that can be considered homogeneous, e.g., they have similar RTTs and all have a wireless ...

The established competitive generic business strategy model continues to be the dominant paradigm, despite the rapidly changing internal and external environments that companies face today. This article evaluates other strategy-related elements identified in current business research and determines if an expanded model can be applied to companies that have become more knowledge-based organizati...

Based on the micro-level of the enterprise informatization, this paper, first of all, summarizes a variety of informatization patterns from the following two aspects: the resource of the products and the practice route. And then, it explores the general principle and the influencing factors of the enterprise’s carrying out the informatization. At last, according to the enterprise’s different fo...

This paper presents a hierarchical duration model applied to enhance speech recognition. The model is based on the novel ANGIE framework which is a ̄exible uni®ed sublexical representation designed for speech applications. This duration model captures duration phenomena operating at the phonological, phonemic, syllabic and morphological levels. At the core of the modelling scheme is a hierarchi...

In this paper, we introduce a new approach for multiband speech recognition which allows interaction between sub-bands and does not require a recombination step. Moreover, this approach is a natural generalization of the HMMs paradigm and leads to fast learning and recognition algorithms.

The first step of successful analogical transfer is relational retrieval—retrieval that is based on common relational structure, such as an underlying principle or pattern. Unfortunately, purely relational retrieval often fails. Previous work has shown that schema abstraction via comparing two examples can improve relational retrieval. We asked whether labels that name relational structure migh...

Agents are an emerging technology that grants programmers a new way to exploit distributed resources. One of the hardest difficult in the development of this kind of application is the managing of agent interactions, since agents must interact in a collaborative and/or competitive way to achieve their task. Roles are a powerful paradigm that can be used to model agent interactions, both between...