Simply Complexity (37 page)

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Authors: Neil Johnson

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in war
163
,
173

see also
information

Fenn, Dan
126

Fernandez, Ana Maria
182

filing problem
21–5
,
30–2
,
30
,
33–6

financial markets

and competition
72

and crowd effect
4
,
8
,
69
,
88

and decision-making
113–15
,
120
,
122
,
132–3

and emergent phenomena
19
,
116

external influences on
125–6

and feedback
114–15
,
117
,
119
,
124

forecasting
113–27

Foreign Exchange Market
105–8

and human behavior
53
,
118–21
,
170

and living systems
15

management
93–4

and order and disorder
25
,
43
,
122–3
,
125

outputs
39–40
,
88

and predictability
43
,
91
,
93
,
113–15
,
122–3
,
124–5

random walk model
115–16
,
117

and supply and demand
83–4

and time-series
42–3
,
50–3

see also
market crashes; price

flexibility
see
adaptability

Flitney, Adrian
207

Folkman, Judah
190

forecasting
see
financial markets; predictability

Foreign Exchange Market
105–8

fractals
49
,
50
,
51–2
,
53–4
,
60
,
60
,
61
,
64–5
,
117

in music
63
,
64
,
65
,
117

in warfare and terrorism
170
,
173

Fricker, Mark
16
,
102
,
103
,
135
,
141–3

frustration
35
,
77
,
88
,
148
,
162

fungus

as network
99–100
,
103–5
,
104

and nutrient supply
16
,
101
,
102–3
,
135
,
142–3

future

corridors into
91
,
95
,
123
,
124–5

predicting
124–5

games

binary decision-making as
71
,
73
,
82–9
,
108
,
113–14
,
120

crowds and anticrowds
82–3
,
85

multi-object
90–1

“pain-gain” trade-off
74–6

quantum
205–7

sheep–dog–wolves
158
,
194–6

war games
161–2

genes, and networks
103–5
,
214

genetics, and Complexity Science
214

Gilman, Barry
181

global warming
4
,
95

globalization
108–10

Gourley, Sean
108
,
144–5
,
146
,
175–6

Gregory, Anne
181

groups

behavior
68–70
,
74
,
159–60
,
163
,
170

formation
159
,
163
,
171–3

see also
crowds

growth
143

Gupta, Nachi
124–5

Hameroff, Stuart
205

Hayden, Patrick
207

health
177–96

and nutrient supply
136–7

see also
cancer; immune system

heartbeat, as fractal
64

Hernandez, Natalia
181

history, and crowd behavior
14
,
79–80
,
82
,
83

housing market

and crowd effect
4

and supply and demand
83–4

Howison, Sam
105

Hui, Pak Ming
82
,
88
,
108

human flu
178–80
,
see also
bird (avian) flu

humans

in Complex Systems
97
,
103

as decision-makers
70–1
,
129–30

see also
anticrowds; crowds; networks

immune system
6
,
20
,
92–3
,
177–8
,
193–6

infinity
211–14

information
26
,
32
,
67
,
89
,
119
,
130

and corporate structure
139–43
,
140
,
144

in networks
97–8
,
100–1
,
105–7
,
109–10
,
136

private
13
,
79
,
98
,
109

public
13
,
78–9
,
82
,
84–5
,
98
,
109
,
118
,
119

Intelligent Design
15

interactions

and agents and networks
13
,
94
,
97–8
,
101

and dynamics
40
,
67

and emergent phenomena
3–4
,
10
,
211

inter-community
180–1
,
185–7

intra-community
180–1
,
185–7

and jazz
63

and traffic
130
,
145

and war
163

Iraq war
161
,
171

and casualty data
163
,
169–71
,
173–4

and timing of attacks
175
,
176

Jarrett, Tim
135
,
137–9
,
140–3
,
145
,
194–5

jazz
62–4
,
62
,
117

Kassam, Jameel
184

Kay, Roland
207

Kroo, Ilan
8
,
92

Lee, Chiu Fan
103
,
184
,
188–9
,
203
,
207

McCombs, Barry
181

McDonald, Mark
105
,
126

machines, selfish
6–8
,
94

Maini, Philip
188–9

Mantegna, Rosario
107

market crashes
15
,
19–20

and crowd effect
4
,
10
,
68

and extreme events
123
,
162

modeling
121–4

and pockets of order
21
,
117
,
122–3
,
123

markets, and competition
11–12

mean-field theory
74

mechanics, statistical
212

memory
26
,
40
,
55
,
57
,
64
,
67–8
,
110

and decision-making
14
,
76–8
,
130

Meyer, David
206

microtubules
205

Milgram, Stanley
100

minimal model
121

Minimum Spanning Trees (MSTs)
105
,
106
,
107–8
,
132

Minority Report
(movie)
95

money, and time
134–7
,
145

music

and fractals
63
,
64
,
65
,
117

and output time-series
61–3

NASA, research into emergent phenomena
6–7

networks
97–110

biological
99–100
,
101–2
,
103–5
,
104
,
135
,
138
,
142

centralized
99–100

in financial markets
105–8
,
106

and genes
103–5
,
214

hub
99
,
102
,
134

hub-and-spoke
133–6
,
137–9
,
140–1
,
144
,
145
,
150
,
192–3

importance
101–3

and interactions
13
,
94
,
97–8
,
101

multiple-ring
140–1

nodes
99

and queue management
101

research into
98

and small world effect
100

social
149–50
,
153–4
,
154

and space–time
10

static
98

super-hub
140–1
,
141

and supply chains
99–100
,
101–2
,
103–5
,
104
,
135–6

and traffic
129–39

and transmission of cold virus
183–4
,
184

and transmission of disease
179

Newman, Mark
98
,
167

news, impact on financial markets
125–7

non-linearity
40
,
54

Normal distribution
164
,
165
,
167

nutrient supply chain
83–4
,
135–7

and AVMs
102–3
,
136–7

in biological networks
99–100
,
101–2
,
103–5
,
104
,
135

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