This paper presents roles and role models as new abstractions for specifying, modelling, and designing intelligent agent systems. The approach is particularly valuable for applications that involve information and process management because it represents a unified approach. Software agents, objects, processes, organizations, and people can play roles and can therefore be incorporated into a rol...

Emotion-oriented eCommerce is a new research field. Intelligent emotion recognition techniques based on modern mathematical models using computational intelligence are presented. Progression within this field of study is highlighted. The requirements for designing of intelligent emotion-oriented eCommerce systems are defined. A model for simulation of intelligent emotion-oriented eCommerce syst...

Synthetic adaptation is the process whereby any entity composed of intelligent, adaptive, and computational agents is also an intelligent, adaptive, and computational agent. Because of synthetic adaptation, organizations, like the agents of which they are composed, are inherently computational. We can gain insight into the behavior of groups, organizations, and societies by using multiagent com...

We present in this paper the design of DeepTutor, the first dialoguebased intelligent tutoring system based on Learning Progressions, and its implications for developing the Generalized Framework for Intelligent Tutoring. We also present the design of SEMILAR, a semantic similarity toolkit, that helps researchers investigate and author semantic similarity models for evaluating natural language ...

Exhaustive state space exploration based verification of cyber-physical system designs remains a challenge despite five decades of active research into formal verification. On the other hand, models of intelligent automotive cyber-physical systems continue to grow in complexity. The testing of intelligent automotive models often uses human subjects, is expensive, and can not be performed unless...

The key to real-time intelligent control lies in the knowledge models that the system contains. We argue that there needs to be a more rigorous approach to engineering the knowledge within intelligent controllers. Three main classes of knowledge are identified: parametric, geometric/iconic, and symbolic. Each of these classes provides unique perspectives and advantages for the planning of behav...

In recent years, the rapid use of internet is found in almost every domain therefore it becomes a huge challenge for researchers to retrieve useful information on the World Wide Web. In the traditional Information Retrieval systems users are not able to get semantic description of the information needed by them, so Intelligent Information Retrieval (IIR) systems are used to find out the more re...

Although a variety of artificial intelligence techniques have been integrated into games, the players’ observation of intelligent characters in games is a reflection of not the strength of the AI techniques, but the result of intelligent design that has gone into the games. We describe the three components of intelligent design: emergence, anticipation and cheating, show how they extend current...

User profiles or user models are vital in many areas in which it is essential to obtain knowledge about users of software applications. Examples of these areas are intelligent agents, adaptive systems, intelligent tutoring systems, recommender systems, intelligent e-commerce applications, and knowledge management systems. In this chapter we study the main issues regarding user profiles from the...

correct estimation of suspended sediment transported by a river is an important practice in water structure design, environmental problems and water quality issues. conventionally, sediment rating curve used for suspended sediment estimation in rivers. in this method discharge and sediment discharge or concentration related using regression relation that generally is exponential model. respect ...