Making sense of the sensory data - coordinate systems by hierarchical decomposition

Attila Egri-Nagy, C.L. Nehaniv

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)
    64 Downloads (Pure)

    Abstract

    Having the right sensory channels is an important ingredient for building an autonomous agent, but we still have the problem of making sense of the sensory data for the agent. This is the basic problem of artificial intelligence. Here we propose an algebraic method for generating abstract coordinate system representations of the environment based on the agent’s actions. These internal representations can be refined and regenerated during the lifespan of the agent.
    Original languageEnglish
    Pages (from-to)333-340
    JournalLecture Notes in Computer Science (LNCS)
    Volume4253
    DOIs
    Publication statusPublished - 2006

    Fingerprint

    Dive into the research topics of 'Making sense of the sensory data - coordinate systems by hierarchical decomposition'. Together they form a unique fingerprint.

    Cite this