Artificial Intelligence: Average Creative

Driving, going games, recognizing faces: machine thinking is ahead of the human in many areas. But does this also apply to storytelling?

Artificial Intelligence: Average Creative
Content
  • Page 1 — Average creative
  • Page 2 — no self-employed narrator, but "partner" of author
  • Read on a page

    Mental freedom and ability to sprachlichauszudrücken are closely related to our imagination. AI Systems Sindgerade to master this threshold. More than a hundred thousand people züchtensich already using Chatbot-ki replica A kind of voice Tamagotchiheran that y can talk to when nobody else does. A focus of AI development is on car. Until autonomous driving is allowed nationwide, re is still some time to go, but already re are systems that ask driver, for example, why he took curve so quickly, had a rough day, and wher it was not guttäte to To hear Chopin's relaxation.

    So you can talk, machines, but do you have interesting things to tell us? So far re are few clues. Last year made a report from Japan round: one of an algorithm GeschriebeneKurzgeschichte had come into closer selection for a science fiction literature prize. The jurors did not know that submission came from an AI. Ultimately, y criticized shortcomings in derpsychologischen elaboration of figures, but praised StringenteErzählstruktur.

    "I cringed in face of a lust I felt for first, and continued to write excitedly. It was day when one computer wrote a novel. A computer that DenVorzug his pursuit of joy stopped working for people. " This is how short story ends. It is possible to read it as an autobiographical narrative and to classify it into a literarischeTradition dating from epoch of enlightenment. The narrator gains writing of mouth and dissolves from his shackles. For example, Afro-American literature has begun to mitautobiografischen educational histories of former slaves.

    Sense Foundation remains (for time being) a human thing

    However, Japanese programmers had predetermined central parameters of plot and figures. If one makes denComputer easy and feeds him for example alsDatengrundlage with screenplays of science fiction classics, film like Sunspring comes out. It forms logical sum all dieserSkripts and packs m into what it holds for an action. There are dortdrei figures, a woman and two men who say sentences like, "Nothing will be a thing. But I'm one who came to this rock. With a baby. " But re is no baby. And he also stands not on a rock, but on a table, why always. Shortly before, guy spat EinenAugapfel out and n continued talking as if nothing had happened.

    The "meaningful part", which goes beyond recognizing undWiederholen of patterns, must come vomMenschen in writing algorithms, says Frank Feulner. He is chief visionary officer of AXSemantics from Stuttgart. Their AI systems translate data into natural speech and generate, for example, sports reports, IndividualisierteWettervorhersagen or product descriptions for online trading. In order to avoid chaos like Sunspring, one has to tell DemAlgorithmus what goal to analyze many data. For narrative texts Könnteein such a goal for example: Bring reader to tears. "The Wäreein goal that we could formulate even in next few years", SagtFeulner.

    The writing algorithm would n basically do nonsanding than AI in car trying to calm irritated driver. This parallel can be deduced from anor hyposis: texts with to interact with your reader and adapt to your needs. A bored reader looks like we know that. Also a software would be esleicht to teach. Sensors on e-book reader may erfassenund features of narrative tempo.

    Date Of Update: 03 November 2017, 12:03
    NEXT NEWS