In this paper I propose a model for situated information processing based on a set of layers, each related to a different processing phase and to a different context type. The mod...
This paper presents an adaptation of the standard quantum search technique to enable application within Dynamic Programming, in order to optimise a Markov Decision Process. This i...
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
We propose a formal real-time semantics for UML statecharts aimed at the requirements level. A requirements-level model assumes perfect technology and has a considerably simpler se...
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...