Make them prioritize novelty or interestingness instead of the ability to walk or talk.
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Like the portion sizes, the interestingness quotient may need fine-tuning as the restaurant grows up.
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"You get a little bit of the interestingness of a cocktail," he said, regarding the drink.
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A search strategy that optimizes for interestingness might get you to a creative solution for that particular problem.
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Cause it didn't seem, wasn't sure what the utility of it or the interestingness of it would be.
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As Mr. Nadel put it, "I've lived in a lot of epicenters of interestingness" — including Santa Fe, N.M., Portland, Ore.
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Under its original programming, the robot was capable of improvising music as it played alongside human performers, using an "interestingness" algorithm to make sure it wasn't just copying its bandmates.
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Actual kernels of interestingness in these telecasts are like rare and beautiful butterflies—you can collect them all like I have here, but nothing beats a spontaneous sighting in their natural habitat.
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"We've tried to create an interestingness that fits the scale and the community of King's Cross," the two firms noted in a statement released this week, of a project they say "couples clarity with eccentricity and anchors innovation with heritage."
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How do you balance interestingness with timeliness, which of course on Twitter is extremely important, balancing the most recent information that might be interesting to you versus less time-sensitive information, but nevertheless has some threshold of interest in this to you.
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"Seeing patterns in randomness: a computational model of surprise". Topics in Cognitive Science, 11 (1), 103-118. distance, recency or prominence (places, individuals) influence interestingness.
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He also made important contributions to learning from positive and unlabeled examples (or PU learning), Web data extraction, and interestingness in data mining. Two of his research papers published in KDD-1998 and KDD-2004 received KDD Test-of-Time awards in 2014 and 2015. In 2013, he was elected chair of SIGKDD, ACM Special Interest Group on Knowledge Discovery and Data Mining.
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Jürgen Schmidhuber's formal theory of creativity postulates that creativity, curiosity, and interestingness are by-products of a simple computational principle for measuring and optimizing learning progress. Consider an agent able to manipulate its environment and thus its own sensory inputs. The agent can use a black box optimization method such as reinforcement learning to learn (through informed trial and error) sequences of actions that maximize the expected sum of its future reward signals. There are extrinsic reward signals for achieving externally given goals, such as finding food when hungry.
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As the Al Jazeera Documentary Arabic- speaking, they pay attention primarily to Arab viewers wherever they are, and seek through the production of documentaries and various activities which serve recreational closely linked to human values and cultural respects the viewer, and abide by the Charter of the press. The channel is said to focus in four areas Informatics, Awareness, Technical and Interestingness. Informatics: To provide new information to viewers in the areas under discussion in the movies. Awareness: To contribute to the development of cultural awareness and cultural scenes and contributing to install his own identity stemming from the culture and heritage.
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Cultural awareness raising and the other revolves around the public from the worlds of ideas and policies, religions and developments in this fast-moving world. Technical: The drafting of technical and quality required in the global offering of movies to respect the visual and aesthetic taste of the viewer, and also to respect the technical standards of the nature of this kind of art documentary. Interestingness: Raising the level of product supply to in the case as a movie follow-up is the case for each of the fun watching documentaries. The Manager of Al Jazeera Documentary Channel is Ahmed Mahfoudh.
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Volunteers from all corners of the world chose a date based on availability. Every day of the year, a different person would write a 365-word entry about his or her experience and thoughts from that day. Volunteers came from all walks of life and included news anchor Ann Curry, advertising legend Alex Bogusky, The Onion’s web editor Baratunde Thurston, interestingness curator Maria Popova, online performance artist, composer and humorist Ze Frank. and Chicago-based celebrity chef Rick Gresh Many of the posts exist at the intersection of history and biography as they share how world events relate to individuals.
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Data mining is a process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.
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The limitation with AM was that it was locked into following a fixed set of interestingness heuristics; Eurisko, by contrast, represented its heuristic rules as first class objects and hence it could explore, manipulate, and discover new heuristics just as it (and AM) explored, manipulated, and discovered new domain concepts. Lenat returned to Stanford as an assistant professor of Computer Science in 1978, and continued his research building the Eurisko automated discovery and heuristic-discovery program. Eurisko made many interesting discoveries and enjoyed significant acclaim, with his paper "Heuretics: Theoretical and Experimental Study of Heuristic Rules" winning the Best Paper award at the 1982 AAAI conference.
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AIs do not yet have a human grasp of the rules of drama and narrative, so existing interactive dramas produce a limited number of significantly different story outcomes, relative to the amount of labor required of the author. There have been several attempts at formalizing an evaluation system for interactive dramas, despite the fact that all existing projects are still in experimental stages. Player agency and fun remain the primary concerns, though fun is often exchanged for more narrative-specific metrics, like "interestingness" and "suspense." Likert scales filled out by players create a rough quantitative picture of user experience, but leave out much of the subjective interpretation that lies behind complex human interactions.
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Providing an "obvious but wrong" answer (referred to as a "forfeit") results in a sequence of klaxons, alarm bells, and flashing lights and a score penalty. Davies is often the panellist who gives these answers. In the first two series, Fry produced the given answer on a card to show the panellists, while it also flashed on the large screens behind them (except in the pilot episode and the first show of the first series, when only the cards were used.) In the third series and onward, Fry's answer cards were dispensed with altogether, leaving only the screens as proof that such answers had been predicted. Because the show's creators expected that hardly anyone would be able to give a correct answer without significant prompting, they instead encourage sheer "interestingness", which is how points are mainly scored.
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Experimenting with the program fueled a cycle of criticism and improvement, leading to a slightly deeper understanding of human creativity. Many issues had to be dealt with, in constructing such a program: how to represent knowledge formally and expressively and concretely, how to program hundreds of heuristic "interestingness" rules to judge the worth of new discoveries, heuristics for when to reason symbolically and inductively (and slowly) versus when to reason statistically from frequency data (and hence, quickly), what the architecture — the design constraints — of such reasoning programs might be, why heuristics work (in sum, because the future is a continuous function of the past), and what their ``inner structure might be. AM was one of the first halting steps toward a science of learning by discovery, toward de-mystifying the creative process and demonstrating that computer programs can make novel and creative discoveries. In 1976 Lenat started teaching as an assistant professor of Computer Science at Carnegie Mellon and commenced his work on the AI program Eurisko.
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After appearances as a bumbling actor in the sci-fi parody Galaxy Quest (1999), as Francis Flute in the Shakespeare adaptation A Midsummer Night's Dream (1999), and as gregarious villain Eric Knox in Charlie's Angels (2000), Rockwell won the then-biggest leading role of his career as The Gong Show host Chuck Barris in George Clooney's directorial debut, Confessions of a Dangerous Mind (2002). Rockwell's performance was well-received, and the film earned generally positive reviews. Rockwell has also received positive notices for his role opposite Nicolas Cage in Ridley Scott's Matchstick Men (2003), with Entertainment Weekly calling him "destined by a kind of excessive interestingness to forever be a colorful sidekick." He received somewhat more mixed reviews as Zaphod Beeblebrox in the film version of The Hitchhiker's Guide to the Galaxy (2005). He then had a notable supporting role as Charley Ford, brother of Casey Affleck's character Robert Ford, in the well-received drama The Assassination of Jesse James by the Coward Robert Ford (2007), in which Brad Pitt played the lead role of Jesse James.
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