By Fumiya Iida, Rolf Pfeifer, Luc Steels, Yasuo Kuniyoshi
Originating from a Dagstuhl seminar, the gathering of papers provided during this publication constitutes at the one hand a consultant state of the art survey of embodied man made intelligence, and nonetheless the papers establish the real examine developments and instructions within the field.
Following an introductory review, the 23 papers are equipped into topical sections on
- philosophical and conceptual issues
- info, dynamics, and morphology
- ideas of embodiment for real-world applications
- developmental approaches
- synthetic evolution and self-reconfiguration
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Additional resources for Embodied Artificial Intelligence: International Seminar, Dagstuhl Castle, Germany, July 7-11, 2003. Revised Papers
Edu/cogrobo/. 34 T. Ziemke work of the type carried out by, for example, Lakoff, Feldman and Shastri’s Neural Theory of Language group at Berkeley4 that builds neuro-computational models of embodied cognition, in the full/radical sense, but sees no need for physically embodied, robotic models. Is this not embodied AI, because it deals with non-embodied models? Since neither the use of physically embodied models nor the modeling of embodied theories of cognition seems to properly characterize the identity of embodied AI as cognitive-scientific modeling, one might ask if perhaps it is the combination of the two?
Pfeifer, R. (2000). On the role of embodiment in the emergence of cognition and emotion. In H. Hatano, N. Okada, and H. ). Affective minds. Amsterdam: Elsevier, 43-57. , and Bongard, J. (2004). New robotics: design principles for intelligent systems. Artificial Life (in press). , and Scheier, C. (1999). Understanding intelligence. : MIT Press. Rechenberg, I. (1973). Evolution strategies: optimization of technical systems with principles from biological evolution (in German). Stuttgart, Germany: Frommann-Holzboog.
This is what in Section 3 will be referred to as the position(s) of “full embodiment”  or “radical embodiment” . This paper does not try to argue for one or the other of these views (although it is hardly a secret that we favor the second one), but it simply argues that embodied AI researchers have to realize that there are at least two different views that should not be conflated. Or, to paraphrase and extend the above introductory quote : It is no longer enough for embodied AI researchers to say that (artificial) intelligence has to be embodied; but one has to be more specific concerning what that means.