Page 312 - Artificial Intelligence for the Internet of Everything

290 Index

Relationship-building communications, with momentum, 28
104 Shannon’s information theory, 11
Reliability, 109 Shannon’s theory, 145–146
Remote method invocation (RMI) Shared mental models, 105
mechanism, 273–275 Simon condition, 181
Resilience solutions for cyber physical Simplest imaginable signature, 252
systems, 87–89 Simulated immersive environments, 61
address cybersecurity for physical systems, Single IoT device, 271
89–95 Sleep model, 125
education of engineers and policy- Smart bridge, 142
makers, 93–95 Smart contract design, 217–218
historic patterns for, 90–92 Smart contracts, 235
mission-based cybersecurity, 92–93 Smart entities, 117
data curation, 96–97 Smartphone zombie, 180
market incentives, 97–98 Smart substitutions, 129
operators of physical systems, Smart things, 119
cybersecurity role and certification SOA. See Service-oriented architecture
of, 95–96 (SOA)
Resilient cyber physical system, 87 Social engagement, 104
Rhetoric relations, 203 Software-design paradigms, 271
Rhetoric structure theory (RST), 189 Software paradigm, 15–16
Riemann manifold techniques, 35–36 Stakeholders, changing roles of, 130
RMI mechanism. See Remote method Standard belief propagation algorithm,
invocation (RMI) mechanism 77–78
The Road to Serfdom (Hayek), 174–175 Standard BP algorithm, 72–73
Robotic systems, 103 Standard full-gradient method, 25
Robustness, 56 Standard HMC approaches, 35–36
RST. See Rhetoric structure theory (RST) Standard stochastic optimization problem,
23–24
S State variables, 248
SAGE. See Sentry AGEnts (SAGE) Statistical-learning methods, 22
SA methods. See Stochastic approximation Step-wise secure process, 221
(SA) methods Stochastic approximation (SA) methods,
“Self-bootstrapped” organizations, 233 29–30
Self-star (self-*) behaviors, 146, 148 Stochastic gradient descent (SGD), 23
Semiautonomous, 132 algorithm, 24–25
Sensor data, 126 Structural recursion, 252
Sensors, 119, 244–245 Stuxnet attacks, 89
Sentinel, 96 Subordinate agents, 75–76
Sentry AGEnts (SAGE), 273–275 Support vector machine (SVM) learning,
architecture, 274f 202
server, 277–278f Surprise minimization, concept of, 69–70
Service-oriented architecture (SOA), SVM learning. See Support vector machine
15–16, 273, 274f (SVM) learning
SGD. See Stochastic gradient descent (SGD) SVM TK approach, 210–211
SGD variants, 26–28 Synchrony, 105
mini-batch SGD, 26–28, 27b System architectures, 263