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What is SA

Chapter 76
Encyclopedia of E-Collaboration
Situation awareness, awareness of current state of the world situated in time and space.
Published in Chapter:
Prospects for E-Collaboration with Artificial Partners
Kathleen Keogh (The University of Ballarat, Australia) and Liz Sonenberg (The University of Melbourne, Australia)
Copyright: © 2008 |Pages: 6
DOI: 10.4018/978-1-59904-000-4.ch075
Abstract
Recent work shows that there is interest in how individual artificial agents can work in successful competitive and collaborative teams including people and other agents. Applications involving competing agents include online auctions. Applications for collaborative teams include remote space missions, disaster recovery (e.g., to coordinate a rescue mission) and helping organize appointments for a team of people (Pynadath & Tambe, 2003); as an aid to independent living developing teams of health carers, including artificial carers (Wagner, Guralnik, & Phelps, 2002); in command and control as coordination and communication assistants (Fan et al., 2005); and pedagogical agents in teaching systems (e.g., Shaw, Ganeshan, Johnson & Millar, 1999; Feng, Shaw, Kim & Hovy, 2006).
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Chapter 7
Optimized System-Level Design Methods for NoC-Based Many Core Embedded Systems
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Chapter 7
Population-Based vs. Single Point Search Meta-Heuristics for a PID Controller Tuning
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Chapter 10
Explaining the Factors on Process of Academic Wikipedia Users Using Technology Acceptance Model Through the Structural Equation Model
Sharing attitude is the attitude toward a behavior is defined as an individual's positive or negative evaluation of performing.
Published in Chapter: Explaining the Factors on Process of Academic Wikipedia Users Using Technology Acceptance Model Through the Structural Equation Model; From: Structural Equation Modeling Approaches to E-Service Adoption
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Chapter 18
Investigating the Efficiency of GRASP for the SDST HFS with Controllable Processing Times and Assignable Due Dates
The Simulated Annealing is a probabilistic metaheuristic for the global optimization problem of locating a good approximation to the global optimum of a given function in a large search space. Its name comes from annealing in metallurgy. If you heat a solid past melting point and then cool it, the structural properties of the solid depend on the rate of cooling. If the liquid is cooled slowly enough, large crystals will be formed. On the other hand, if the liquid is cooled quickly, the crystals will contain imperfections. The algorithm simulates the cooling process by gradually lowering the temperature of the system until it converges to a steady state.
Published in Chapter: Investigating the Efficiency of GRASP for the SDST HFS with Controllable Processing Times and Assignable Due Dates; From: Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
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Chapter 3
Globalization and Trade in the Post-Covid World
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