J. B. Pollack, H. Lipson, S. G. Ficici, P. Funes, G. Hornby, and R. A. Watson. Evolutionary techniques in physical robotics. In J. Miller, editor, Proceedings of the Third International Conference on Evolvable Systems(ICES 2000. Home/Search Document Details and Download
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Multi-Objectivity as a Tool for Constructing Hierarchical.. - Teo, Nguyen, Abbass (2003) (Correct)
....the processing unit that acts to transform the sensory inputs into the motor outputs of the artificial creature. The automatic synthesis of such embodied and situated creatures through artificial evolution has become a key area of research not only in the cognitive sciences but also in robotics [15], artificial life [14] and evolutionary computation [2, 10] Consequently, there has been much research interest in evolving both physically simulated virtual organisms [2, 10, 14] and real physical robots [15, 8, 12] The main objective of these studies is to evolve increasingly complex ....
.... become a key area of research not only in the cognitive sciences but also in robotics [15] artificial life [14] and evolutionary computation [2, 10] Consequently, there has been much research interest in evolving both physically simulated virtual organisms [2, 10, 14] and real physical robots [15, 8, 12]. The main objective of these studies is to evolve increasingly complex behaviors and or morphologies either through evolutionary or lifetime learning. Needless to say, the term complex is generally used very loosely since there is currently no general method for comparing between the ....
Jordan B. Pollack, Hod Lipson, Sevan G. Ficici, Pablo Funes, and Gregory S. Hornby. Evolutionary techniques in physical robotics. In Peter J. Bentley and David W. Corne (Eds), Creative Evolutionary Systems, chapter 21, pages 511--523. Morgan Kaufmann Publishers, San Francisco, 2002.
On Evolvable Hardware - Gordon, Bentley (2002) (Correct)
....transmitted for decoding. It was found that this system could outperform JBIG, the ISO standard for bi level image compression, by an average of arotmd 50 . Adaptive control systems have also been developed with evolvable hardware. Most commonly, this has been for robot control. For example, see [39, 70]. Industrial real time control applications may also be suitable for this approach. Damiani et al. have developed an on line adaptive hashing system [8] They have proposed that this could be used to map cache blocks to cache tags dependent on the access patterns of the data over time. 2.4 Fault ....
Pollack J.B., Lipson H., Ficici S., Funes P., Hornby G. and Watson R. (2000), Evolutionary Techniques in Physical Robotics, Proc. of the 3rd Int. Conf. on Evolvable Systems, Edinburgh, U.K., pp. 175-186.
Embodied Evolution: Distributing an Evolutionary.. - Watson, Ficici, Pollack (2000) (4 citations) Self-citation (Pollack Ficici Watson) (Correct)
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J. B. Pollack, H. Lipson, S. G. Ficici, P. Funes, G. Hornby, and R. A. Watson. Evolutionary techniques in physical robotics. In J. Miller, editor, Proceedings of the Third International Conference on Evolvable Systems(ICES 2000.
Predation: an Approach to Improving the Evolution of Real.. - Simoes, Barone (2002) (Correct)
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Pollack, J. B., Lipson, H., Ficici, S. G., Funes, P., Hornby, G. S., and Watson, R. A., "Evolutionary Techniques in Physical Robotics", Proceedings of the Third International Conference on Evolvable Systems - ICES 2000.
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