The need for intelligent environments (“Smarthomes”) to monitor and assist elderly individuals is on the rise and is projected to continue into the future. To assist in the development of autonomous Smarthome algorithms, a robust, flexible and extendable simulation environment is required. In this paper we present our approach to fulfilling this need through the development of a plugin-based si...

Computer games are an increasingly popular application for Artificial Intelligence (AI) research, and conversely AI is an increasingly popular selling point for commercial games. Although games are typically associated with entertainment, there are many “serious” applications of gaming, including military, corporate, and advertising applications. There are also so-called “humane” gaming applica...

The availability of a good, complete scope definition in the early stages of a project is widely recognized by industry practitioners as a key factor for overall project success. This paper presents a Project Scope Modeling Methodology for computerized decision support during the definition of a new project scope. The methodology is based on the effective reutilization of historical project sco...

The fields of power electronics and fuel cells have emerged as key players in the development sustainable sources. prevailing demand for is projected to increase they become principal source energy portable electronics. A high-efficiency converter a crucial component whole system an absolute must this specific use case. This because has huge impact on portability terms size, efficiency, cost, r...

Evolutionary Intelligence is the place to discover advances in the field of evolutionary intelligence. The journal is devoted to the timely publication and dissemination of both the theoretical and practical aspects of population-based searches for artificial intelligence. Among the techniques covered are rule-based systems, artificial neural networks, fuzzy systems, Bayesian and statistical a...

Artificial intelligence is a branch of computer science, involved in the research, design, and application of intelligent computer. Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and artificial-intelligence-based solutions can often provide valuable alternatives for efficiently solving problems in the civil engineering. Thi...

Modeling of stream flow–suspended sediment relationship is one of the most studied topics in hydrology due to itsessential application to water resources management. Recently, artificial intelligence has gained much popularity owing toits application in calibrating the nonlinear relationships inherent in the stream flow–suspended sediment relationship. Thisstudy made us of adaptive neuro-fuzzy ...

results multilayer perceptron (mlp) artificial neural network (ann) model with a 1-6-1 structure was chosen which explained 97% and 95% of kd and koc variances, respectively. the only input data was soil organic carbon content. conclusions based on this study, the ann method is a promising alternative for conventional methods in modeling and estimating sorption coefficients in relation to soil ...

The modeling, representation and use of context is the challenge for the coming years in Artificial Intelligence, especially when we now face very large knowledge bases, complex problems and multimedia means. The notion of context is important since it can capture many of the interesting aspects of the way we understand the world, such as relativity, locality, partiality, and contextdependence....