Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
An introduction to intelligent and autonomous control
An introduction to intelligent and autonomous control
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
A framework for modeling human-like driving behaviors for autonomous vehicles in driving simulators
Proceedings of the fifth international conference on Autonomous agents
About artificial intelligence methods: fuzzy logic engines and Bayesian filters
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
An epistemological comparison between fuzzy logic engines and Bayesian filters
WSEAS Transactions on Systems and Control
Design and performance evaluation of mixed manual and automated control traffic
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The virtual prototype of a mechatronic suspension system with active force control
WSEAS TRANSACTIONS on SYSTEMS
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In this paper we propose a behaviorist representation of knowledge imagined like a three level structure. The first level is a strategically level the second is a tactical level and the third is an operational level. The first level is necessary for the problem solution the second for the solution implementation and the last for the solution execution. Each level feedback information which are used in (learning) developing the previous level. The paper presents also a case study about such a structure designed for an autonomous car.