This note presents a new version of the language of epistemic specifications. The semantics of the new language is arguably closer to the intuitive meaning of epistemic operators. It eliminates some unintended interpretations which exist under the old definition. The author hopes that the new language will be better suited for the design of intelligent agents capable of introspective reasoning ...

In this paper, we develop a face identification method to distinguish target non-native alien animals from other native animals using camera captured images. When a camera recognizes that target animal walked in the cage, it traps the animal in the cage. Here, we set raccoon as target non-native animal, and detect its face region by using HOG features. However, the raccoon face detector often c...

This paper summarises a presentation made to a meeting on Intelligent Agent Technology organised by the EPSRC Community Club in Advanced Computing Techniques. The paper briefly reviews the needs, objectives and difficulties of standardisation for intelligent agents, then discusses one particular current activity: the Foundation for Intelligent Physical Agents (FIPA). In particular, the FIPA 97 ...

Virtual training systems are increasingly used for the training of complex, dynamic tasks. To give trainees the opportunity to train autonomously, intelligent agents are used to generate the behavior of the virtual players in the training scenario. For effective training however, trainees should be supported in the reflection phase of the training as well. Therefore, we propose to use self-expl...

This paper describes a method for improving students’ help-seeking behavior by creating a teammate relationship between intelligent tutors and students. Help seeking in intelligent tutors involves student self-regulation as described in learning theory and can be explored from the perspective of social psychology. We describe an experiment in which ninety-seven students were randomly assigned t...

The intelligent agents' research team of the Department of System theory and Design (DSTD) lead by prof. Janis Grundspenkis and assistant prof. Egons Lavendelis is working in the rapidly developing branch of artificial intelligence systems – intelligent agents and multi-agent systems. The theoretical research includes the following directions. Agent interaction protocols for different purposes,...

Multiagent business objects and Intelligent Multimedia applications tbr Management Science and IT are defined. Amongst he areas are agent computing, modern portfolios, heterogeneous computing, business objects, intelligent databases, intelligent objects, and decision science. A new view to MIS with agent computing and intelligent multimedia is presented. Interaction amongst heterogeneous comput...