A formalism for the specification of multiagent systems should be expressive and illustrative enough to model not only the behavior of one single agent, but also the collaboration among several agents and the influences caused by external events from the environment. For this, state machines [25] seem to provide an adequate means. Furthermore, it should be easily possible to obtain an implement...

Although CO2 injection is one of the most common methods in enhanced oil recovery, it could alter fluid properties of oil and cause some problems such as asphaltene precipitation. The maximum amount of asphaltene precipitation occurs near the fluid pressure and concentration saturation. According to the description of asphaltene deposition onset, the bubble point pressure has a very special imp...

AI technology has long history which is actively and constantly changing and growing. It focuses on intelligent agents, which contains devices that perceives environment and based on which takes actions in order to maximize goal success chances. In this paper, we will explain the modern AI basics and various representative applications of AI. In context of modern digitalized world, Artificial I...

The use of narrative is ubiquitous in the development, exercise, and communication of expertise. Expertise and narrative, as complex cognitive capacities, have each been investigated quite deeply, but little attention has been paid to their interdependence. We offer here the position that treating these two domains together can fruitfully inform the modeling of expert cognition and behavior, an...

In this report, we propose a design of knowledge-based system that provides a support for modeling and simulation tasks, by exploiting state-of-the-art techniques from artificial intelligence and knowledge engineering. The key component of the system is an ontology—a formal model of the structure of knowledge required for modeling and simulation tasks. We present our approach to the problem, an...

This paper proposes a reasoned taxonomy of the models for supply chain management (SCM). The aim is to help managers select the SCM models most appropriate to their problems and objectives. The taxonomy is based on two dimensions, namely the type of SCM problem and the modeling approach. SCM problems are classified into two main classes, namely configuration and coordination. Four different mod...

parallel architectures for artificial neural networks paradigms and implementations systems PDF neural smithing supervised learning in feedforward artificial neural networks PDF artificial neural networks in biomedicine perspectives in neural computing PDF quantum neural computation intelligent systems control and automation science and engineering PDF foundations of neural networks fuzzy syste...

This paper presents an artificial intelligence-based architecture to be used in various tourism services, namely the user modeling and recommender system components. Through the use of several machine learning techniques, such as linear models, neural networks, classification and even text mining, a hybrid and complete approach at understanding tourism application users is attained. To assess t...