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THRUSHES" "Terrifying are the attent sleek thrushes on the lawn," "More coiled steel than living - a poised" "Dark deadly eye, those delicate legs" "Triggered to stirrings beyond sense - with a start, a bounce, " "a stab" "Overtake the instant and drag out some writhing thing. " "No indolent procrastinations and no yawning states," "No sighs or head-scratchings. Nothing but bounce and stab " "And a ravening second."" "(Ted Hughes). https://lnkd.in/drHWmQF View in LinkedIn

REPEATED REFINEMENT. "Initially, the equations generated by the program failed to explain the data, but some failures were slightly less wrong than others. Using a genetic algorithm, the program modified the most promising failures, tested them again, chose the best, and repeated the process until a set of equations evolved to describe the systems. Turns out, some of these equations were very familiar: the law of conservation of momentum, and Newton’s second law of motion." (Eureqa). https://lnkd.in/dEC3j_P View in LinkedIn

"COCKROACHES: Indestructible, and Instructive to Robot Makers. The cockroach structure and motion could work better than other, more wormlike designs for robots to explore sites where war or natural disaster has caused buildings to collapse. “This is the model for soft robots. Roaches could end up being the source of inspiration for machines that save people’s lives. https://lnkd.in/dQSTw9D View in LinkedIn

BOT WARS. “Study reveals bot-on-bot editing wars raging on Wikipedia's pages.” https://lnkd.in/du9yK8t View in LinkedIn

ABDUCTIVE ACTIVE LEARNING. "At the beginning of any investigation, the Robot Scientist has not discovered any information, therefore all possible hypotheses are equally valid. As the directed discovery process continues, each new observation (or experiment/interpretation cycle) will invalidate some of the hypotheses, thereby excluding incorrect discoveries. The experiment selection process aims to choose the experiment most likely to refute the most hypotheses." https://lnkd.in/dUdRjJH View in LinkedIn

BIG DATA MINING. "Condensing rules from raw data has long been considered the province of human intuition, not machine intelligence. It could foreshadow an age in which scientists and programs work as equals to decipher datasets too complex for human analysis." (Eureqa). https://lnkd.in/dEC3j_P View in LinkedIn

ACTIVE LEARNING "uses abductive logic programming to generate valid hypotheses that explain the observations; and uses these hypotheses to determine the next most informative experiment." https://lnkd.in/dUdRjJH View in LinkedIn

CHANGING MANY VARIABLES TOGETHER. "In most of science, you try to keep everything constant except for one variable. You turn one knob at a time, and see how the system responds. That’s wonderful for linear systems...But most biology is complex and non-linear. Emergent behaviors are very hard to understand unless you turn many knobs at a time, and we can’t figure out which knobs to turn. So we’re going to let Eureqa pick them.” https://lnkd.in/dEC3j_P View in LinkedIn

ACTIVE LEARNING. "The Robot Scientist makes use of an iterative approach to experimentation, where knowledge acquired from a previous iteration is used to guide the next experimentation step. This is a process known as Active Learning, where the learner can plan its own agenda, i.e. decide how best to improve its knowledge base and how to go about acquiring this information." https://lnkd.in/dUdRjJH View in LinkedIn

SCRAPYARD MINING. "This knowledge will initially correspond to the goals of the scientific task, but increasingly the internet repositories that are often constructed to store the data have become the focus of less directed scientific study, where "hidden" knowledge not originally anticipated by the goals of the scientific task may be found. However, this "scrapyard" approach is partly a result of overexperimentation where many unnecessary experiments were conducted along with the potentially informative ones." https://lnkd.in/dUdRjJH View in LinkedIn