Structural vibration control is one of the most important features in structural engineering. Real-time information about seismic resultant forces is required for deciding module of intelligent control systems. Evaluation of lateral forces during an earthquake is a complicated problem considering uncertainties of gravity loads amount and distribution and earthquake characteristics. An artificia...

in this study two intelligent systems, based on adaptive neuro-fuzzy inference systems (anfis) and artificial neural networks (anns) of forecasting municipal solid wastes (msw) generation has been proposed. anfis and anns as an intelligent tool compared with together was used to monthly prediction of msw generated in tehran. monthly amount of solid wastes (sw), total monthly precipitation, mont...

The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences su...

Guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of Intelligent Transportation Systems (ITS). Nowadays, many complex systems can be controlled by using multi agent systems. Adaptation with the current condition is an important feature of the agents. In this research, formulation of dynamic guidance for vehicles has been investigated based...

Self-diagnostics and prognostics in multi-agent processing systems is explored in the context of selfsoothing concepts in Neuropsychology. The use of emotional memory and autonomic nervous state recall can be used to provide contextual cognition for system-level diagnostic and prognostics in large-scale systems. The use of an Artificial Cognitive Neural Framework with intelligent information so...

Industry 4.0 aims to support smarter and autonomous processes while improving agility, cost efficiency, user experience. To fulfill its promises, properly processing the data of industrial infrastructures is required. Artificial intelligence (AI) appears as a strong candidate handle all generated data, help in automation smartification process. This article overviews digital twin true embodimen...

The paper proposes a new approach to the design of open intelligent information systems based on artificial intelligence techniques. This approach is referred too as the open intelligent information systems architecture (OIISA) proposes a mechanism for the effective partitioning of the knowledge base and a framework by which separate knowledge bases (which in themselves can be distinct knowledg...

This aim of this paper is to present the Multi-Agent Systems. Later is presented ALLEGRO: A Teaching/Learning Multi-Agent Environment. ALLEGRO is an intelligent environment that includes artificial intelligence mechanisms (Instructional Planning IP, Cased-Based Reasoning CBR, Multi-Agent Systems MAS, Intelligent Tutoring Systems ITS, and Computer Supported Collaborative Learning CSCL).