Humanoid and mobile robots are just a few examples of intelligent machines that require sophisticated software to transform sensory information into purposeful actions. When writing this type of large-scale, complex software, developers benefit from domainspecific guidelines that promote code reuse and integration. The Intelligent Machine Architecture (IMA) was designed to provide these guideli...

In this paper, a novel approach of intelligent vehicle to interact and cooperate with other human driving vehicles is proposed at the freeway entrance ramp scenario. The system consists of a Safety Alert Module and Vehicle Control Module. The Safety Alert System module includes intention estimation and conflict judgment. A two dimension Hidden Markov Model (2DHMM) is used to estimate social veh...

As software systems for context-aware applications and intelligent environments become increasingly complex and adaptive, the need to understand and predict the impact of changes grows. Such changes may manifest themselves (1) as alterations in the way users behave, (2) as software customizations to handle new requirements, and (3) as variations on the dynamic context in which intelligent envir...

the spatial distribution of petrophysical properties within the reservoirs is one of the most importantfactors in reservoir characterization. flow units are the continuous body over a specific reservoirvolume within which the geological and petrophysical properties are the same. accordingly, anaccurate prediction of flow units is a major task to achieve a reliable petrophysical description of a...

We describe a language and protocol intended to support interoperability among intelligent agents in a distributed application. Examples of applications envisioned include intelligent multi-agent design systems as well as intelligent planning, scheduling and replanning agents supporting distributed transportation planning and scheduling applications. The language, KQML for Knowledge Query and M...

A framework to guide the development of an intelligent component and its integration with an existing decision support system has been proposed. The framework draws on concepts from the fields of decision support systems, knowledge based systems and intelligent decision support systems. this framework was applied to a problem in the domain of dairy farm management. A prototype intelligent decis...

We describe a language and protocol intended to support interoperability among intelligent agents in a distributed application. Examples of applications envisioned include intelligent multi-agent design systems as well as intelligent planning, scheduling and replanning agents supporting distributed transportation planning and scheduling applications. The language, KQML for Knowledge Query and M...

The development of intelligent environments requires handling of data perceived from users, received from environments and gathered from objects. Such data is often used to implement machine learning tasks in order to predict actions or to anticipate needs and wills, as well as to provide additional context in applications. Thus, it is often needed to perform operations upon collected data, suc...

we focus on a recently new intelligent optimization algorithm called discrete state transition algorithm, for solving integer optimization problems. Firstly, we summarize some key elements for discrete state transition algorithm to guide its well development. Several intelligent operators are designed for local exploitation and global exploration. Then, a dynamic adjustment strategy “risk and r...

The paper provides an overview of our research being performed in the area of interfaces for e-learning, with the emphasis on application of intelligent methods. We especially address the efforts being done in providing a suitable interaction for a class of intelligent e-learning systems – Intelligent Tutoring Systems (ITSs), within the research framework of our home institutions. The specific ...