Learning in and from Brain-Based Devices Export

@article{citeulike:1925561, abstract = {Biologically based mobile devices have been constructed that differ from robots based on artificial intelligence. These brain-based devices (BBDs) contain simulated brains that autonomously categorize signals from the environment without a priori instruction. Two such BBDs, Darwin VII and Darwin X, are described here. Darwin VII recognizes objects and links categories to behavior through instrumental conditioning. Darwin X puts together the "what,""when," and "where" from cues in the environment into an episodic memory that allows it to find a desired target. Although these BBDs are designed to provide insights into how the brain works, their principles may find uses in building hybrid machines. These machines would combine the learning ability of BBDs with explicitly programmed control systems. 10.1126/science.1148677}, author = {Edelman, Gerald M.}, citeulike-article-id = {1925561}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.1148677}, citeulike-linkout-1 = {http://www.sciencemag.org/cgi/content/abstract/318/5853/1103}, day = {16}, doi = {10.1126/science.1148677}, journal = {Science}, keywords = {alife, biological-inspired-modeling, brain-anatomy, evo-computation, neuro-evolution, neuro-morphic, neuro-tech, robotics}, month = {November}, number = {5853}, pages = {1103--1105}, posted-at = {2009-10-09 06:25:55}, priority = {2}, title = {Learning in and from Brain-Based Devices}, url = {http://dx.doi.org/10.1126/science.1148677}, volume = {318}, year = {2007} }

TY - JOUR ID - citeulike:1925561 L3 - citeulike-article-id:1925561 N2 - Biologically based mobile devices have been constructed that differ from robots based on artificial intelligence. These brain-based devices (BBDs) contain simulated brains that autonomously categorize signals from the environment without a priori instruction. Two such BBDs, Darwin VII and Darwin X, are described here. Darwin VII recognizes objects and links categories to behavior through instrumental conditioning. Darwin X puts together the "what,""when," and "where" from cues in the environment into an episodic memory that allows it to find a desired target. Although these BBDs are designed to provide insights into how the brain works, their principles may find uses in building hybrid machines. These machines would combine the learning ability of BBDs with explicitly programmed control systems. 10.1126/science.1148677 IS - 5853 JF - Science EP - 1105 TI - Learning in and from Brain-Based Devices VL - 318 SP - 1103 KW - alife KW - biological-inspired-modeling KW - brain-anatomy KW - evo-computation KW - neuro-evolution KW - neuro-morphic KW - neuro-tech KW - robotics AU - Edelman, Gerald PY - 2007/11/16/ UR - http://dx.doi.org/10.1126/science.1148677 ER -