2 edition of Intelligent simulation environments found in the catalog.
Intelligent simulation environments
|Statement||edited by Paul A. Luker and Heimo H. Adelsberger.|
|Series||Simulation series -- vol.17 ; -- no.1|
|Contributions||Society for Computer Simulation.|
This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. competitive, and complex simulation environment. A number of simulation environments are currently in use at differ-ent universities to support research and teaching. In Artificial Intelligence, for example, the TileWorld system (Pollack & Ringuette, ) supports simulation of agent design in a dynamic two-dimensional grid world.
Books shelved as simulation: Simulation and Its Discontents by Sherry Turkle, Discrete-Event System Simulation by Jerry Banks, Simulation Modeling & Anal. case, and describes the fundamental modeling & simulation tools that are considered critical to support the daily operation of the urban transportation system. Index Terms — Geographical Information Systems, Intelligent Transportation Systems, modelling, traffic microsimulation. I. technologically advanced methods to deal with operations T.
Intelligent and Efficient Transport Systems - Design, Modelling, Control and Simulation. Edited by: Truong Quang Dinh. ISBN , eISBN , PDF ISBN , Published The tool chain is complemented by a middleware and a sophisticated simulation environment allowing e.g. to simulate mobile phone interactions triggering, and the deployment to the real-world events. For developers and researchers of Intelligent Environments, creation and maintenance of Intelligent Environments is significantly improved.
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Intelligent Simulation Environments: Proceedings (Simulation Series, No 1) [Paul A Luker, Heimo H Adelsberger] on *FREE* shipping on qualifying offers.
Get this from a library. Intelligent simulation environments: proceedings of the Conference on Intelligent Simulation Environments, JanuarySan Diego, California. [Paul A Luker; Heimo H Adelsberger;].
Of the papers presented during IROS '94, 48 were selected because they are particularly significant and characteristic for the present state of the technology of intelligent robots and systems. This book contains the selected papers in a revised and expanded form. Comprised of 15 chapters, this book begins with an overview of the dimensions of knowledge representation in simulation environments, followed by a discussion on object-oriented programming as well as the concepts of modular, hierarchical.
Topics include agents, environments, agent movement, and agent embodiment. It also provides an introduction to programming in NetLogo. Accompanying the book is a series of exercises and NetLogo models (with source code and documentation) which can be run directly from an applet or downloaded/5(23).
ieDigital – formerly Intelligent Environments Europe Ltd – is a leading British provider of software, based in Kingston upon Thames, provides front-end technology for financial services organisations and their customers. The company's current flagship product is Interact, a digital platform for financial arters: Kingston Upon Thames.
Intelligent Environments (IE) are spaces with embedded systems and information and communication technologies creating interactive spaces that bring computation into the physical world and enhance occupants experiences. " Intelligent environments are spaces in which computation is seamlessly used to enhance ordinary activity.
One of the driving forces behind. Intelligent Agents for Interactive Simulation Environments Article (PDF Available) in Ai Magazine 16(1) March with 67 Reads How we measure 'reads'. This paper introduces semantic reflection, a novel concept for a modular design of intelligent applications.
SCIVE, a simulation core for intelligent Virtual Author: Marc Erich Latoschik. : Advances in Applied Digital Human Modeling and Simulation: Proceedings of the AHFE International Conference on Digital Human Modeling and Simulation, Intelligent Systems and Computing Book ) eBook: Vincent G.
Duffy: Kindle Store. Cite this paper as: Latoschik M.E. () Semantic Reflection – Knowledge Based Design of Intelligent Simulation Environments. In: Hertzberg J., Beetz M., Englert R. (eds) KI Advances in Artificial by: 2. This book deals with virtual environments for teaching and learning.
The chapters can be considered to be representative of the many approaches taken and the diversity of applications. The different perspectives and different solutions adopted are the result of intense research in various countries in the area of e-learning.
A viable solution to this barrier has been the use of completely simulated environments. Nevertheless, an optimal solution may be to allow researchers to use the equipment they do have, and simulate missing sensors. This paper aims to address this scenario through the proposal of the Intelligent Environment Experiment Assistance : Jonathan Synnott, Celeste Gabrielli, Chris D.
Nugent. Modeling and Simulation of Partnership Network for?an Intelligent Supply Chain: /ch Contrary to actual logistics networks in which chains are frozen, in the proposed partnership network, a dynamic chain is only built each time an order isAuthor: Fouzia Ounnar, Patrick Pujo, Selma Limam Mansar.
The simulation environment applies only to rigid bodies, not to other types of simulations that may be in the scene (that is, hair, soft body, or cloth). ICE particles use a simulation environment as well, but the contents are different — see The ICE Simulation Environment [ICE. Standridge C and Centeno M Concepts for modular simulation environments Proceedings of the 26th conference on Winter simulation, () Nadoli G and Biegel J () Intelligent Manufacturing-Simulation Agents Tool (IMSAT), ACM Transactions on Modeling and Computer Simulation (TOMACS),(), Online publication date: 2-Jan This book studies the simulation of wireless networking in the domain of Intelligent Transportation Systems (ITS) involving aircraft, railway and vehicular communication.
On this subject, particular focus is placed on effective communication channels, mobility modeling, multi-technology simulation and global ITS simulation : $ Get this from a library.
Intelligent Learning Environments and Knowledge Acquisition in Physics. [Andrée Tiberghien; Heinz Mandl] -- This book presents the proceedings of the NATO workshop "Knowledge acquisition in the domain of physics and intelligent learning environments" held in Lyon, France, in July The contributions.
Discrete event simulation environments have desirable features and components now driving researchers to develop and enhance existing environments. The Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications provides a comprehensive overview of theory and practice in simulation systems.
A leading. Simulation. Simulation based learning environments are critical components of many professions. Equally critical is leveraging audio, vital sign and multi-camera angle capture for observation and instant debriefing.
An effective observation and video recording system makes this process simple, secure, reliable and flexible. SIMULATION ENVIRONMENTS FOR THE DESIGN AND TEST OF AN INTELLIGENT CONTROLLER FOR AUTONOMOUS UNDERWATER VEHICLES Michael W.
Roeckel Robert H. Rivoir Ronald E. Gibson Stephen P. Linder Applied Research Laboratory Pennsylvania State University P.O. Box 30 State College, PA U.S.A. ABSTRACT Intelligent controllers .Virtual geographical environments (VGEs) were proposed in the late s and have since been deeply studied with regards to visualization, geographic simulation, predictive analysis, knowledge sharing, collaborative modeling [1,2,3,4,5,6], and so the development of artificial intelligence and big data, intelligent VGEs have to meet the new challenges of geographic Cited by: 1.Healthcare Simulation Books are a critical component of learning how to develop, expand, and utilize medical simulation methodologies and technologies in professional healthcare institutions to improve learning and patient safety performance outcomes.
Everything from audiovisual system design, to manikin hardware, debriefing, patient simulators, nursing simulation.