Model Predictive Control in the Process Industry
Model Predictive Control in the Process Industry
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books)
How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books)
A predictive model of menu performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems
Information theoretic models of HCI: a comparison of the Hick-Hyman law and Fitts' law
Human-Computer Interaction
A case-based approach for coordinated action selection in robot soccer
Artificial Intelligence
Comirit: Commonsense Reasoning by Integrating Simulation and Logic
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Anticipation and future-oriented capabilities in natural and artificial cognition
50 years of artificial intelligence
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Anticipation plays a crucial role during any action, particularly in agents operating in open, complex and dynamic environments. In this paper we consider the role of anticipation as a strategy from a design perspective. Anticipation is a crucial skill in sporting games like soccer, tennis and cricket. We explore the role of anticipation in robot soccer matches in the context of reaching the RoboCup vision to develop a robot soccer team capable of defeating the FIFA World Champions in 2050. Anticipation in soccer can be planned or emergent but whether planned or emergent, anticipation can be designed. Two key obstacles stand in the way of developing more anticipatory robot systems; an impoverished understanding of the "anticipation" process/capability and a lack of know-how in the design of anticipatory systems. Several teams at RoboCup have developed remarkable preemptive behaviors. The CMU Dive and UTS Dodge are two compelling examples. In this paper we take steps towards designing robots that can adopt anticipatory behaviors by proposing an innovative model of anticipation as a strategy that specifies the key characteristics of anticipation behaviors to be developed. The model can drive the design of autonomous systems by providing a means to explore and to represent anticipation requirements. Our approach is to analyze anticipation as a strategy and then to use the insights obtained to design a reference model that can be used to specify a set of anticipatory requirements for guiding an autonomous robot soccer system.