The research is based on the designing of Clinical Temporal Mediator for medical domain. The Clinical Temporal Mediator incorporates the concept of artificial intelligence for performing temporal reasoning tasks. The designing of reasoning system involves the implementation of various mathematical models of insulin-glucose metabolism. The reasoning system consists of three subsystems: Nuti-Diet...

The second half of the twentieth century can be called the age of individualization when individual values and differences are recognized and respected. Intelligence is among the various aspects of individual differences which affect education and language learning. As such, the present study aimed at investigating the relationship between Multiple Intelligence and Reading Comprehension Abiliti...

Despite over a century of research on intelligence, the cognitive processes underlying intelligent behavior are still unclear. In this review, we summarize empirical results investigating contribution associated with working memory capacity, processing speed, and executive to intelligence differences. Specifically, (a) evaluate how three different domains have been measured, (b) these related i...

Learning, like any search, is only tractable if it is tightly focused. Modularity can provide the information a learning system needs by supporting specialized representation. Behavior-based artificial intelligence is a well-known modular theory of intelligent design, but has not been used systematically in this way. This paper describes a new design methodology, behavior-oriented design (BOD),...

Most of the challenges faced when building the Semantic Web require a substantial amount of human labor and intelligence. Despite significant advancement in ontology learning and human language technology, the tasks of ontology construction, semantic annotation, and establishing alignments between multiple ontologies remain highly dependent on human intelligence. This means that individuals nee...

One of the long-standing challenges in Artificial Intelligence for goal-directed behavior is to build a single agent which can solve multiple tasks. Recent progress in multi-task learning for goal-directed sequential tasks has been in the form of distillation based learning wherein a single student network learns from multiple task-specific expert networks by mimicking the task-specific policie...

Ambient Assisted Living aims at developing systems that assist people in their daily tasks. In this context, assistance and care are delegated to the intelligence embedded in the environment that, in our opinion, should provide not only a task-oriented support but also an interface able to establish a social empathic relation with the user. This is what we call a “caring home”. In this paper we...

This paper describes the vision system used on the robot that took first place in both the technical and popular categories of the 1998 American Association of Artificial Intelligence Hors d’Oeuvres Anyone? competition. The robot used visual input to execute multiple tasks: 1) locate people to serve, 2) determine if someone was reaching for food from the robot’s tray, 3) determine if the person...

Smart homes are expected to promote productivity and enhance living experience, especially for old adults. To achieve this, the level of user interface intelligence should be designed to meet the needs of users and tasks. The aim of this study was to investigate the impact of user interface intelligence level on user performances for different tasks and different users. Two objectives were purs...

One of the most significant current discussions has led to the hypothesis that domain-specific training programs alone are not enough to improve reading achievement or working memory abilities. Incremental or Entity personal conceptions of intelligence may be assumed to be an important prognostic factor to overcome domain-specific deficits. Specifically, incremental students tend to be more ori...