Fuzzy Anchoring
نویسندگان
چکیده
| An intelligent physical agent must incorporate motor and perceptual processes to interface with the physical world, and abstract cognitive processes to reason about the world and the options available. One crucial aspect of incorporating cognitive processes into a physically embedded reasoning system is the integration between the symbols used by the reasoning processes to denote physical objects, and the perceptual data corresponding to these objects. We treat this integration aspect by proposing a fuzzy computational theory of anchoring. Anchoring is the process of creating and maintaining the correspondence between symbols and percepts that refer to the same physical objects. Modeling this process using fuzzy set-theoretic notions enables dealing with perceptual data that can be aaected by uncertainty/imprecision and imprecise/vague linguistic descriptions of objects.
منابع مشابه
Anchoring Symbols to Vision Data by Fuzzy Logic
In: Symbolic and quantitative approaches to reasoning and uncertainty. Abstract. Intelligent agents embedded in physical environments need the ability to connect, or anchor, the symbols used to perform abstract reasoning to the physical entities which these symbols refer to. Anchoring must rely on perceptual data which is inherently aaected by uncertainty. We propose an anchoring technique base...
متن کاملAnchoring Symbols to Vision Databy Fuzzy
Intelligent agents embedded in physical environments need the ability to connect, or anchor, the symbols used to perform abstract reasoning to the physical entities which these symbols refer to. Anchoring must rely on perceptual data which is inherently aaected by uncertainty. We propose an anchoring technique based on the use of fuzzy sets to represent uncertainty, and of degree of subset-hood...
متن کاملAnchoring: A New Approach to Handling Indeterminate Location in GIS
We describe a new approach to representing vague or uncertain information concerning spatial location. Locational information about objects in information space is expressed through various anchoring relations which enable us to state exactly what is known regarding the spatial location of an object without forcing us to identify that location with either a precise region in the embedding space...
متن کاملFuzzy matching of visual cues in an unmanned airborne vehicle
Computer vision systems used in autonomous mobile vehicles are typically linked to higher level deliberation processes One important aspect of this link is how to connect or anchor the symbols used at the higher level to the objects in the vision sys tem that these symbols refer to Anchoring is complicated by the fact that the vision data are inherently a ected by uncertainty We propose an anch...
متن کاملProblems and solutions for anchoring in multi-robot applications
We propose a symbolic modelling approach to deal with the anchoring problem, in applications involving several embodied agents, by applying standard AI techniques. We discuss how such a modelling approach supports the process of instantiation of concepts by aggregating percepts possibly affected by imprecision and uncertainty. Percepts may come from several sensors possibly distributed both in ...
متن کامل