๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Performance Evaluation and Benchmarking of Intelligent Systems

โœ Scribed by Robert N. Lass, Evan A. Sultanik (auth.), Raj Madhavan, Edward Tunstel, Elena Messina (eds.)


Publisher
Springer US
Year
2009
Tongue
English
Leaves
351
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Performance Evaluation and Benchmarking of Intelligent Systems presents research dedicated to the subject of performance evaluation and benchmarking of intelligent systems by drawing from the experiences and insights of leading experts gained both through theoretical development and practical implementation of intelligent systems in a variety of diverse application domains. This contributed volume offers a detailed and coherent picture of state-of-the-art, recent developments, and further research areas in intelligent systems.

The chapters cover a broad range of applications, such as assistive robotics, planetary surveying, urban search and rescue, and line tracking for automotive assembly. Subsystems or components described in this book include human-robot interaction, multi-robot coordination, communications, perception, and mapping. Chapters are also devoted to simulation support and open source software for cognitive platforms, providing examples of the type of enabling underlying technologies that can help intelligent systems to propagate and increase in capabilities.

Performance Evaluation and Benchmarking of Intelligent Systems serves as a professional reference for researchers and practitioners in the field. This book is also applicable to advanced courses for graduate level students and robotics professionals in a wide range of engineering and related disciplines including computer science, automotive, healthcare, manufacturing, and service robotics.

โœฆ Table of Contents


Front Matter....Pages i-xix
Metrics for Multiagent Systems....Pages 1-19
Evaluation Criteria for Human-Automation Performance Metrics....Pages 21-40
Performance Evaluation Methods for Assistive Robotic Technology....Pages 41-66
Issues in Applying Bio-Inspiration, Cognitive Critical Mass and Developmental-Inspired Principles to Advanced Intelligent Systems....Pages 67-92
Evaluating Situation Awareness of Autonomous Systems....Pages 93-111
From Simulation to Real Robots with Predictable Results: Methods and Examples....Pages 113-137
Cognitive Systems Platforms using Open Source....Pages 139-168
Assessing Coordination Demand in Cooperating Robots....Pages 169-186
Measurements to Support Performance Evaluation of Wireless Communications in Tunnels for Urban Search and Rescue Robots....Pages 187-219
Quantitative Assessment of Robot-Generated Maps....Pages 221-248
Mobile Robotic Surveying Performance for Planetary Surface Site Characterization....Pages 249-268
Performance Evaluation and Metrics for Perception in Intelligent Manufacturing....Pages 269-310
Quantification of Line Tracking Solutions for Automotive Applications....Pages 311-338

โœฆ Subjects


System Performance and Evaluation; Control, Robotics, Mechatronics; Artificial Intelligence (incl. Robotics); Appl.Mathematics/Computational Methods of Engineering


๐Ÿ“œ SIMILAR VOLUMES


Performance Evaluation and Benchmarking
โœ Madhavan R., Tunstel E., Messina E. (Editors) ๐Ÿ“‚ Library ๐ŸŒ English

Springer โ€“ 2009, 351 pages<br/>ISBN 9781441904911<div class="bb-sep"></div>Performance Evaluation and Benchmarking of Intelligent Systems presents research dedicated to the subject of performance evaluation and benchmarking of intelligent systems by drawing from the experiences and insights of leadi

Performance Evaluation and Benchmarking
โœ Lizy Kurian John, Lieven Eeckhout ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› CRC Press ๐ŸŒ English

Following a general overview of the important performance analysis techniques, this book surveys contemporary benchmark suites for specific areas, such as Java, embedded systems, CPUs, and Web servers. Subsequent chapters explain how to choose appropriate averages for reporting metrics and provide a

Performance Evaluation, Benchmarks, and
โœ Multiple Authors ๐Ÿ“‚ Library ๐Ÿ“… 1995 ๐Ÿ› AIMR (CFA Institute) ๐ŸŒ English

Judging investment performance is more difficult than ever today because of the complexity of markets and instruments and the uncertainties involved in determining the causes of success or failure. This proceedings examines important aspects of performance evaluation tools and offers guidelines for

Performance and evaluation of LISP syste
โœ Richard P. Gabriel ๐Ÿ“‚ Library ๐Ÿ“… 1985 ๐Ÿ› The MIT Press ๐ŸŒ English

This final report of the Stanford Lisp Performance Study, conducted over a three year period by the author, describes implementation techniques, performance tradeoffs, benchmarking techniques, and performance results for all of the major Lisp dialects in use today. A popular highlevel programming la