This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
This paper explores the relationship between display of feedback (public vs. private) by a computer system and the basis for evaluation (present vs. absent) of that feedback. We e...
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
Abstract. Research in many fields of AI, such as distributed planning and reasoning, agent teamwork and coalition formation, cooperative problem solving and action theory has adva...
This paper presents a design methodology for a class of behaviour-based control systems, arguing its potential for application to safety critical systems. We propose a formal basi...