Semiotics of world-modeling

У статті розглянуто семіотичні особливості мовної репрезентації угруповань об'єктів, що в процесі категоризації дійсності інтерпретуються як СВІТИ. На основі етимологічних реконструкцій проаналізовано універсальні смисли як ірраціональні інтерпретативні фільтри при моделюванні альтернативних реальностей. Процес конструювання альтернативних світів визначається як ноемогенез. Визначено низку спільних для європейських лінгвокультур моделей концептуалізації світу.В статье рассмотрены семиотические особенности языковой репрезентации групп объектов, интерпретируемых в в процессе категоризации действительности как МИРЫ. На основе этимологических реконструкций проанализированы универсальные иррациональные смыслы, задействованные при моделировании альтернативных реальностей. Процесс конструирования альтернативных миров определяется как ноэмогенез. Определен ряд общих для европейских лингвокультур моделей концептуализации мира.The article addresses language means representing clusters of objects constituting the space traditionally interpreted as WORLD. Etymological analysis of the concept's names allοwed reconstructing universal meanings (iconic code-ons) typical for European language worldviews where they function as irrational interpretational filters as well as basic operators involved in verbal world modeling. The article targets designation units denoting WORLD in Germanic, Slavic and Celtic texts of diverse chronology

World modeling in robotics

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Sensory processing and world modeling for an active ranging device

In this project, we studied world modeling and sensory processing for laser range data. World Model data representation and operation were defined. Sensory processing algorithms for point processing and linear feature detection were designed and implemented. The interface between world modeling and sensory processing in the Servo and Primitive levels was investigated and implemented. In the primitive level, linear features detectors for edges were also implemented, analyzed and compared. The existing world model representations is surveyed. Also presented is the design and implementation of the Y-frame model, a hierarchical world model. The interfaces between the world model module and the sensory processing module are discussed as well as the linear feature detectors that were designed and implemented

The 3-D world modeling with updating capability based on combinatorial geometry

A 3-D world modeling technique using range data is discribed. Range data quantify the distances from the sensor focal plane to the object surface, i.e., the 3-D coordinates of discrete points on the object surface are known. The approach proposed herein for 3-D world modeling is based on the Combinatorial Geometry (CG) method which is widely used in Monte Carlo particle transport calculations. First, each measured point on the object surface is surrounded by a small sphere with a radius determined by the range to that point. Then, the 3-D shapes of the visible surfaces are obtained by taking the (Boolean) union of all the spheres. The result is an unambiguous representation of the object's boundary surfaces. The pre-learned partial knowledge of the environment can be also represented using the CG Method with a relatively small amount of data. Using the CG type of representation, distances in desired directions to boundary surfaces of various objects are efficiently calculated. This feature is particularly useful for continuously verifying the world model against the data provided by a range finder, and for integrating range data from successive locations of the robot during motion. The efficiency of the proposed approach is illustrated by simulations of a spherical robot in a 3-D room in the presence of moving obstacles and inadequate prelearned partial knowledge of the environment

World Modeling for Intelligent Autonomous Systems

The functioning of intelligent autonomous systems requires constant situation awareness and cognition analysis. Thus, it needs a memory structure that contains a description of the surrounding environment (world model) and serves as a central information hub. This book presents a row of theoretical and experimental results in the field of world modeling. This includes areas of dynamic and prior knowledge modeling, information fusion, management and qualitative/quantitative information analysis

World Modeling for Intelligent Autonomous Systems

The functioning of intelligent autonomous systems requires constant situation awareness and cognition analysis. Thus, it needs a memory structure that contains a description of the surrounding environment (world model) and serves as a central information hub. This book presents a row of theoretical and experimental results in the field of world modeling. This includes areas of dynamic and prior knowledge modeling, information fusion, management and qualitative/quantitative information analysis

Perceptual telerobotics

A sensory world modeling system, congruent with a human expert's perception, is proposed. The Experiential Knowledge Base (EKB) system can provide a highly intelligible communication interface for telemonitoring and telecontrol of a real time robotic system operating in space. Paradigmatic acquisition of empirical perceptual knowledge, and real time experiential pattern recognition and knowledge integration are reviewed. The cellular architecture and operation of the EKB system are also examined