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The article presents a general model of the emergence of social order in multi- agent-systems (MAS). The agents consist of two types of neural networks that have the task to generate social actions as their output and to adjust these actions to the actions of other agents. The result is a form of social order, i.e., a set of rules of interaction. The agents can generalize these rules by applying them...
Neural model of Elman type for robot manipulator is presented. Learning algorithm based on backpropagation method is given. Then numerical examples based on data from model of Puma 560 robot are presented.
The following topics are dealt with: algorithms; artificial intelligence; Bangla language processing; computer networks; data communication; distributed systems; digital logic; system design; e-commerce; e-governance; graphics; multimedia; information systems; knowledge engineering; data engineering; neural networks; robotics; pattern recognition; image processing; ubiquitous computing; and mobile...
Robot environment map is used for the path planning. Sonar Sensor measurement is converted to the probabilistic representation of the environment (occupancy grid). In this paper we used sonar sensor model to identify the different regions of the robot on the floor (cells). We used the grid mapping to describe the emptiness and occupancy and the unknown areas of the robot environment and the nearby...
The following topics are dealt with: robotics; industrial electronics; sensors; actuators; intelligent control; image analysis; soft computing techniques; communication networks; and control strategies.
Multisensor data fusion is highly applicable in robotics applications because the relationships among objects and events changes due to the change in orientation of robot, snag in sensory information, sensor range and environmental conditions etc. High level and low level image processing in machine vision are widely involved to investigate object identification in complex application. Due to the...
The following topics are dealt with: intelligent system design; neural networks, AI and expert systems; evolutionary computation; genetic algorithms; natural language processing & machine translation; artificial life and artificial immune systems; rough and fuzzy rough set; gray system and cloud computing; cognitive radio and computer vision; pattern recognition and machine learning; fuzzy system...
The following topics are dealt with: neural networks; fuzzy systems; evolutionary computation; adaptive dynamic programming and reinforcement learning; computational finance and economics; data mining; computer games; virtual reality; intelligent systems; robotics and cybernetics engineering; operations research; signal processing; human factors, and social issues; parallel and distributed architectures;...
The following topics are dealt with: emerging nano-circuits and systems; analog A/D converters; embedded electronics; computer arithmetic and clock circuits; biomedical and bio-inspired engineering systems; deep submicron design and automation; memory design and techniques for managing process parameter variations; RF, microwave and optical systems; amplifiers; low-power design and design automation;...
As advances in neuroscience, cognitive science and robotics continue to elucidate the physical basis of autonomous behavior in animals, many deep questions remain open, including: What sort of system can evolve and support perception, cognition and action? What general principles or attributes can be defined for such a system? If so, how do these principles and attributes make complex behavior possible?...
The following topics are dealt with: adaptive control; observers; fault diagnosis; networked control systems; power systems; agent-based systems; control theory; control applications; genetic computation; evolutionary computation; robotics; nonlinear systems; electromechanical systems; neural networks; predictive control; robust control; discrete event systems; embedded control systems; process control;...
The following deals with the following topics: algorithms; artificial intelligence; software engineering; bioinformatics; computer graphics; computer architecture; information systems; computer aided instruction; computer games; virtual reality; data security; digital simulation; computer aided design; ethical aspects; database systems; digital libraries; signal processing; image processing; logic...
The following topics are dealt with: MEMS design; image processing; security of data; robotics; VLSI; e-learning; neural network; CAD; and speech processing.
The paper deals with the following topics: data security, data hiding, software engineering, digital simulation, numerical simulations, vehicle engineering, neural nets, structural engineering, robotics, artificial intelligence, software architecture, aerospace engineering, logistics, computer vision, image processing, finite element methods, computer graphics, etc.
The following topics are dealt with: security of data; power line communication; radio networks; video streaming; telecommunication switching; optical communication; antenna; computer networks; modulation; diversity reception; mobile communication; optimization; artificial intelligence; neural nets; operations research; signal processing; medical computing; microprocessor chips; FPGA; power systems;...
The following topics are dealt with: artificial neural networks; biodegradability prediction; cellular automata; evolutionary algorithms; swarm intelligence; emergent systems; artificial life; Lindenmayer systems; digital organisms; artificial immune systems; membrane computing; simulated annealing; communication networks and protocols; computing with words; common sense computing; cognitive modeling...
How does man's vision system work? In some cross research fields like neurobiology, psychology and robotics researchers have been work hard to answer the question for long time. Now on visual cortex neuroscience has accumulate much experimental data and some theories like information redundancy reduction, sparse coding have given their interpretation of experiments, but understanding information processing...
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