Identification of linear systems: a practical guideline to accurate modeling
Identification of linear systems: a practical guideline to accurate modeling
Agents that reduce work and information overload
Communications of the ACM
Modeling of dynamic systems
The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
Developing trust in recommender agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
The RoboCup Physical Agent Challenge: Goals and Protocols for Phase 1
RoboCup-97: Robot Soccer World Cup I
Rogi Team Real: Dynamical Physical Agents
RoboCup-99: Robot Soccer World Cup III
On Seeing Robots
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In this paper, we argue in favour of the interchange of research results between physical agents and recommender systems. Certain properties, such as introspection and physical foundations of physical agents, are mapped into agents that model and make recommendations to users from the subjective, content-based point of view of products and services. How this real-to-virtual mapping of properties and behaviours can be performed is the main goal of our work, from which we expect to obtain a general concept of recommender agents which improves the state of the art in terms of performance and maintainability. Furthermore, new features of the recommender agents could be also mapped to the physical agents discipline. Some of the features explained are installed in two personalization company products: Proto-agent and Habitat-Pro.