Logo des Repositoriums

Künstliche Intelligenz 27(2) - Mai 2013

https://dl.gi.de/handle/20.500.12116/11096
Auflistung nach:

Auflistung Künstliche Intelligenz 27(2) - Mai 2013 nach Schlagwort "Anchoring"

1 - 2 von 2
  • Zeitschriftenartikel
    A Short Review of Symbol Grounding in Robotic and Intelligent Systems
    (KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Coradeschi, Silvia; Loutfi, Amy; Wrede, Britta
    This paper gives an overview of the research papers published in Symbol Grounding in the period from the beginning of the 21st century up 2012. The focus is in the use of symbol grounding for robotics and intelligent system. The review covers a number of subtopics, that include, physical symbol grounding, social symbol grounding, symbol grounding for vision systems, anchoring in robotic systems, and learning symbol grounding in software systems and robotics. This review is published in conjunction with a special issue on Symbol Grounding in the Künstliche Intelligenz Journal.
  • Zeitschriftenartikel
    Knowledge Based Perceptual Anchoring
    (KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Daoutis, Marios
    Perceptual anchoring is the process of creating and maintaining a connection between the sensor data corresponding to a physical object and its symbolic description. It is a subset of the symbol grounding problem, introduced by Harnad (Phys. D, Nonlinear Phenom. 42(1–3):335–346, 1990) and investigated over the past years in several disciplines including robotics. This PhD dissertation focuses on a method for grounding sensor data of physical objects to the corresponding semantic descriptions, in the context of cognitive robots where the challenge is to establish the connection between percepts and concepts referring to objects, their relations and properties. We examine how knowledge representation can be used together with an anchoring framework, so as to complement the meaning of percepts while supporting better linguistic interaction with the use of the corresponding concepts. The proposed method addresses the need to represent and process both perceptual and semantic knowledge, often expressed in different abstraction levels, while originating from different modalities. We then focus on the integration of anchoring with a large scale knowledge base system and with perceptual routines. This integration is applied in a number of studies, where in the context of a smart home, several evaluations spanning from spatial and commonsense reasoning to linguistic interaction and concept acquisition.