Distributed Artiicial Intelligence (DAI) has become an established research domain in recent years. As opposed to classical AI approaches, where the metaphor of intelligence is based on an individual human behaviour and the emphasis is put on knowledge representation and inference methods, the metaphor used in DAI is based on social behaviour, and its emphasis is put on actions and interactions...

Abstract: A key issue for distributed problem solving (DPS) systems is coordination of the agent’s actions, and methods for producing effective coordination strategies remain an active area of research. Because there are not yet approaches that can automatically produce such strategies, some human engineering is often still necessary. As a result, there is a need for a formal tool to support su...

Since more distributed energy resources (DER) are being linked to the electrical grid, current power system (DPS) is encountering additional voltage regulation challenges. Traditionally, on-load tap changers, step regulators, and switched capacitor banks have been used for in DPS. However, these sources insufficient As a result, reactive assistance from DER unit based on electronics intended ad...

In this paper, a model is proposed, in which neighbouring nodes share layers of their communications stack with each other in a cooperative fashion to enable the use of IPv6 on each node without the need to include the stack’s full programming logic on each node, while still preserving transparent IP interconnectivity by forming a Distributed Protocol Stack (DPS). We give an overview on the con...

The dike-pond system (DPS) is the integration of a natural or man-made pond and crop cultivation on dikes, widely distributed in Pearl River Delta Jianghan plain China. It plays key role preserving biodiversity, enhancing nutrient cycle, increasing production. However, DPS rarely mapped at large scale with satellite data, due to limitations training dataset traditional classification methods. T...

The paper proposed to use decentralized and centralized I-term neural sliding mode control of distributed parameter wastewater anaerobic digestion bioprocess plant. The bioprocess plant is described by partial differential equations simplified by means of the orthogonal collocation method and used as an input/output data generator. The obtained process data are identified by means of decentrali...

Distribiit,ed Problem Solving (DPS) is concerned with a group of agents, each with only local views, that cooperate and coordinate to solve a given problem in a coherent and efficient manner. As networked computer systems and practical concurrcnt processing architectures develop, DPS research has seen increasing realization in real world problems. As opposed to using sophisticated agents in pro...

Teaching and learning software design patterns (DPs) is not an easy task. Apart from learning individual DPs and the principle behind them, students should learn how to apply them in real-life situations. Therefore, to make the learning process of DPs effective, it is necessary to include a project component in which students, usually in small teams, develop a medium-sized software application....