To deal with autonomous agents’ knowledge and subjective beliefs in open, heterogeneous and inherently distributed settings, we need special formalisms that combine knowledge from multiple and potentially heterogeneous interconnected contexts. Each context contains a chunk of knowledge defining a logical theory, called ontology unit). While standard logics may be used, subjectiveness and hetero...

We present a new diagnosis algorithm (NDA) for regular interconnected structures. The diagnosis algorithm has time complexity O(kn) when applied to k-regular systems of n units. It provides a correct diagnosis, although incomplete. The diagnosis is correct if the number of faulty units is not above a specified bound Tσ, asserted by the algorithm itself. The correctness and completeness of NDA i...

A key challenge in sharing oriented information management environments such as networks of heterogeneous autonomous database systems is to provide capabil ities to allow information units and resources to be exibly and dynamically com bined and interconnected while at the same time preserving the investment in and the autonomy of each individual component The research described here speci call...

A neural network is a network of interconnected elementary units which have limited characteristic properties of real (or biological) neurons. Each unit is capable of receiving many inputs, some of which can activate the unit while other inputs can inhibit the activities of the unit. The neuron-like elementary unit computes a weighted sum of the input,s it receives and fires (or produces) a sin...

|The aim of this paper is to present a communication synthesis approach stated as an allocation problem. In the proposed approach, communication synthesis allows to transform a system composed of processes that communicate via high level primitives through abstract channels into a set of processes executed by interconnected processors that communicate via signals and share communication control...

The concept of neural networks has increasingly gained the attention of scientists and engineers from diverse disciplines in recent years. Conventionally, a neural network comprises an ensemble of interconnected processing units (artificial neurons) with modifiable connection strength between any two units. Through appropriate learning rules, the neural network can be trained to perform tasks t...

The efficient identification of hardware and software faults in parallel and distributed systems still remains a challenge in today's most prolific decentralized environments. System-level fault diagnosis is concerned with the detection of all faulty nodes in a set of hundreds (or even thousands) of interconnected units. This is accomplished by thoroughly examining the collection of outcomes of...

Design to capacity is an engineering principle that is increasingly applied in chemical industry, among others due to increasing plant sizes and associated investments. This principle aims to reduce over-capacity, oversized buffers and excessive redundancy. Concurrently, a high level of availability is targeted over the entire production chain. The consequences of unavailability of highly inter...