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Ethology-Inspired Design of Autonomous Agents in Domain of Artificial Life

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00224948" target="_blank" >RIV/68407700:21230/14:00224948 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Ethology-Inspired Design of Autonomous Agents in Domain of Artificial Life

  • Original language description

    This chapter describes new methods of designing of autonomous agents. We inspire ourselves in fields as Artificial Intelligence, Ethology and Biology, while designing our agents. Typical course of agent?s life is similar to newly born animal, which continuously learns itself: consequently from basic information about its environment towards the ability to solve complex problems. Our latest architecture integrates several learning and action-selection mechanisms into one more complex system. The main advantages of such an agent are in its total autonomy, the ability to gain all information from a surrounding environment. Also, the ability to efficiently decompose potentially huge decision space into a hierarchy of smaller spaces enables the agent to successfully learn and ?live? also in very complex domains. Unsupervised learning is triggered mainly by agent?s predefined physiology and intentions which are autonomously created during his life. We present here theoretical background used

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů