Simply Complexity (38 page)

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Authors: Neil Johnson

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and cancer
93
,
102
,
136
,
188–93
,
189
,
192

centralized vs. decentralized
135–45

and fungi
16
,
101
,
102–3
,
135
,
142–3

and warfare
103
,
162–3

order
15–16
,
21–4
,
39
,
110

and extreme behavior
20
,
123

and music
63

and the Sun
27

and temperature
35–7
,
212

and time-series
41–3
,
44
,
47
,
55–6
,
58–61
,
63–5

output price-series
117–18
,
160

output time-series
41–3
,
44–53
,
54–62

and Chaos
45–53
,
54–5

in financial markets
42–3
,
50–3

and music
61–4

and order and disorder
41–3
,
44–8
,
55–6
,
58–61
,
63–5

periodic
48–50
,
49
,
65

and predictability
43
,
44
,
91–2

and warfare
175

outputs
39–43
,
44

and arrangements
39–48

and fractals
49
,
50
,
60
,
160

pathogens

and immune system
193

mutation
177

see also
viruses

patterns

periodic
48–50
,
49
,
65

universal
56
,
61
,
118
,
160
,
163
,
167
,
168–71

see also
fractals

Penrose, Roger
205

phase transitions
9
,
37

phenomena, emergent
3–10
,
211

and bias
32–7
,
57–8

fractals as
50
,
54
,
65

and jazz
63

and machines
6–7

and physics
9–10

and polarization of population
82–3
,
83
,
86–8

prediction and control
5
,
6
,
10
,
11–12
,
15
,
19–20
,
55
,
116

as self-organized
5–6
,
19

as unexpected
15

universal properties
70

and weather
9

see also
market crashes; traffic jams

phenotypes, and dating
150
,
157

photoelectric effect
197–8

photosynthesis
27
,
101
,
203–5
,
204

Physics

and bias
35–7

of closed systems
14
,
28
,
211

and emergent phenomena
9–10
,
16

and infinity
211–12

and mean-field theory
74

and networks
101
,
142

and radioactive decay
151–2

polarization
199–200

power-law
166
,
167–8
,
169–71
,
169
,
173–5
,
176

predictability

and Chaos
40–1

and emergent phenomena
5
,
6
,
10
,
11–12
,
20

in financial markets
43
,
91
,
93
,
113–15
,
122–3
,
124–5

and the future
91
,
95
,
124–5

and managing complexity
4
,
90–1
,
95

and pockets of order
20–1
,
91–2
,
122–3
,
123
,
125
,
125

and time-series
43
,
44
,
91–2

prices
39–40

and equilibrium
84

movement
119–20

prediction
113–14
,
116–18
,
124–5

time-series
42
,
50–3
,
88

probability, and decision-making
80
,
88
,
173

quantum crowd effects
9–10

quantum physics
197–210

cryptography
9
,
201

and excitons
203–4

and games
205–7

and networks
101

and plants
202–5

and quantum computer
9
,
201
,
205

and quantum particles
10
,
198–202
,
203

Quiroga, Luis
204–5

random walk
56–60
,
63

in financial markets
115–16
,
117

randomness
47
,
53
,
55–6
,
61
,
82
,
125

Reed-Tsochas, Felix
16

resources

competition for
4–8
,
108
,
129
,
148
,
159–60
,
168
,
191

under-utilization
88

Restrepo, Elvira Maria
169–70
,
187

Restrepo, Jorge
163–4
,
169–71
,
172–5

Richardson, Lewis Fry
164–7
,
168–9

Riolo, R.
89

risk, evolution
91

Rodriguez, Ferney
204–5

rumors

in financial markets
84
,
125–7
,
186
,
187

spread
98
,
186–7

Savit, R.
88–9

science, and Complexity
16–18

self-organization

and animal kingdom
5–6

and crowds
5
,
10
,
72
,
84

and insurgent networks
103

and jazz
63

and war
163

sheep–dogs–wolves game
158
,
194–6

Sherrington, D.
89

small world effect
100

Smith, David
89–95
,
103
,
123–4
,
143
,
149–54
,
156–7

space–time
10
,
197

Spagat, Mike
163–4
,
169–71
,
172–5

Stanley, Gene
107

state-space
32

Stochasticity, Characteristic
91

Strogatz, Steve
54
,
98

Suarez, Nicolas
169–70

Suleman, Omer
105
,
126

Summers, Paul
137

super-bugs
103
,
157–8
,
187
,
193–6

supermarkets, and supply chains
100
,
136

superposition
200
,
206

supply
see
nutrient supply chain

systems, open
14
,
32–7
,
63

technology

“smart”
94

and warfare
161

temperature
35–7
,
212

terrorism

and casualty data
168–71
,
174

and competition
4
,
72

impact on financial markets
126–7

and networks
103
,
136

universal patterns
168–71

time

and money
134–7
,
145

see also
space-time

time series
see
output time-series

traffic

and comfort limit
130–3
,
144

and competition
71–2

congestion charging
134
,
137–9
,
141
,
144

and emergent phenomena
19
,
69

and feedback
26
,
77
,
130

hub-and-spoke model
133–6
,
137–9
,
138
,
144
,
145

multiple-ring-and-hub model
139

and networks
129–39
,
144–5

and time vs. money
134–7
,
145

and “which route?” dilemmas
11
,
129–34

traffic jams
15
,
130

and crowd effect
4
,
10
,
68
,
69

as extreme behavior
19–20
,
162

and pockets of order
21
,
25
,
130

Tumer, Kagan
6

universality, and war
160
,
163
,
167
,
168–71

Universe

as closed system
14
,
15
,
28
,
211

and disorder
28–9
,
56

vasculature, and cancer tumors
189
,
190
,
191–2

Ventikos, Yiannis
137

violence, and crowds
159
,
186

viruses

computer
193

and defense strategies
157–8

and immune system
6
,
177–8

mutation
177–8

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