SOAR: an architecture for general intelligence
Artificial Intelligence
Learning automata: an introduction
Learning automata: an introduction
Introduction to AI Robotics
An Behavior-based Robotics
Modelling and Simulation of Human Behaviour in System Control
Modelling and Simulation of Human Behaviour in System Control
Autonomous Learning from the Environment
Autonomous Learning from the Environment
An Integrated Approach of Learning, Planning, and Execution
Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems
AI and agents: state of the art
AI Magazine
Recent advances in intelligent paradigms and applications
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
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This contribution outlines the idea, concept and realisation of learning abilities based on a Situation-Operator-Modelling (SOM) technique. The approach of modelling the human-machine-interaction is applied to autonomous technical systems. The idea is to obtain the already modelled human flexibility also for use within algorithmic and/or technical approaches. The proposed modelling technique is used for the conception of an autonomous system and realises a cognitive-based behaviour. The cognitive functions of the system are divided into the learning, testing, and exploration module and the planning and plan supervision module. The steps to realise the proposed architecture are illustrated and detailed for a mobile robot, as an example. Furthermore, first experiences with this approach in a real world environment are shown.