R. Pfeifer. Embodied system life. In Proceedings of the International Symposium on System Life, Tokyo, July 1998. Home/Search Document Details and Download
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Imitation: A Means to Enhance Learning of a Synthetic.. - Billard (1999) (4 citations) (Correct)
.... find a common interest in the study of high level social skills for robots, which can be used for gaining a better understanding of the mechanisms behind similar skills in animals ( 4] 5] 6] or for improving the robot s performance in interaction with humans or robots ( 7] 8] 9] 10] [11]) Relevant to this manuscript are studies which investigate the use of imitation 1 through human robot or robot robot interactions. While there is still some debate as to what observed behavior the term imitation refers to, there is also a need for clarification as to how many different ....
R. Pfeifer. Embodied system life. In Proceedings of the International Symposium on System Life, Tokyo, July 1998.
A Software Agent Based Control System for Human-Robot .. - Peters, II, Wilkes.. (1999) (3 citations) (Correct)
....[13, 14] This paper describes the control system that facilitates human interaction with ISAC. We are designing ISAC from a complete agent perspective . This idea was first espoused by psychologist Masanao Toda in the 1960 s [29] but has more recently been embraced by robotics researchers [16, 24, 30]. The idea is that the study of an intelligent agent must incorporate all aspects of the agent from sensory stimulation in its real environment through its motor actions. This is distinct from the more common (and in many ways, more easily manageable) approach of separately studying di#erent ....
....is natural for the person [15] Proponents of behavior based robotics have suggested that intelligence cannot be programmed into an agent. Intelligence must be acquired through active experience with the world. Therefore, an agent can become intelligent only if it is both situated and embodied [6, 17, 24, 25]. For a machine to become intelligent, necessarily it must sense a physical environment, it must manipulate that environment, and it must learn from the results of its manipulations through further sensing. Hence, the machine must be a robot that can learn. That hypothesis moves the complete agent ....
Pfeifer, R. "Embodied System Life" Proc. Int'l Symp. on System Life, Tokyo, July, 1998
Exploring Evolutionary Learning in a Simulated Hockey Environment - Blair, Sklar (1999) (3 citations) (Correct)
.... of global information conforms to the spirit of competitions such as Robocup soccer 2 [Kitano et al. 1995] nevertheless from an artificial life or adaptive behaviour perspective, creatures that observe the world from their own frame of reference come closer to the ideal of embodied cognition [Pfeifer, 1998]. Additionally, if Shock is to be considered as a simulation domain within the context of evolutionary robotics, it is preferable to develop controllers which carry their sensors on board rather than relying on input from external sources. Finally, from a machine learning standpoint, we may ....
Pfeifer, R. (1998). Embodied system life. In Proceedings of the 1998 International Symposium on System Life.
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