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By Owen Holland (auth.), Takashi Gomi (eds.)
This booklet constitutes the refereed court cases of the eighth foreign Symposium on Evolutionary Robotics, ER 2001, held in Tokyo, Japan, in October 2001.
The seven revised complete papers by means of the invited audio system Rodney A. Brooks, Dario Floreano, Robert J. complete, Inman Harvey, Owen Holland, Francesco Mondada, and Jordan B. Pollack have been rigorously chosen and revised for presentation within the booklet. one of the issues addressed are imitation of existence and laptop attention, self sufficient vision-based robots, advanced robots, dwelling machines, synthetic evolution, bioinspired man made lifestyles locomotion, and cellular robot structures engineering.
Read Online or Download Evolutionary Robotics. From Intelligent Robotics to Artificial Life: International Symposium, ER 2001 Tokyo, Japan, October 18–19, 2001 Proceedings PDF
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Extra resources for Evolutionary Robotics. From Intelligent Robotics to Artificial Life: International Symposium, ER 2001 Tokyo, Japan, October 18–19, 2001 Proceedings
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Holland O. (1996) Grey Walter: the pioneer of real artificial life. In Artificial Life V, eds. G. and Shimohara K. MIT Press, Cambridge MA 14. Baars B. (1988) A Cognitive Theory of Consciousness. Cambridge University Press 15. Crick F. (1994) The Astonishing Hypothesis: The Scientific search for the Soul. Scribners, New York 16. C. (1994) Consciousness in Human and Robot Minds. IIAS Symposium on Cognition, Computation and Consciousness. , Cognition, Computation and Consciousness, Oxford University Press 17.
Each synaptic connection has a weight wj whose sign, in this example, is given by the pre-synaptic neuron (positive if the neuron is excitatory, negative if the neuron is inhibitory). The membrane potential of a neuron i at time t is given by wjt υi (t) = j j (sj ) f + ηi (si ) (4) f where sn = t − tfn is the difference between the time t and the time of firing tf of neuron n. If the membrane potential υi (t) is equal or larger than the neuron threshold θi , the neuron emits a spike and ηi takes a very low value that prevents an immediate new spike.
One great advantage of this programme is that, like evolution, it can begin with agents showing no signs of consciousness, or even anything approaching intelligence. But two big questions must be answered first. The first is: Exactly how will the robot designs be improved — by evolution, learning, or design? And the second is: Will there be any bias towards using particular types of architectural features believed to underpin intelligence and/or consciousness? The answer to the first is: Probably by all three.