Chris Crawford on Interactive Storytelling (75 page)

Manic/Depressive,
191

Market factors and marketing,
345–348
,
350

Mateas, Michael,
318–319

Mates (gossip),
234–238

Mathematical palettes,
112–120

additive weighting factors,
115

exponential weighting factors,
117–118

multiplicative weighting factors,
116–117

overviews and summaries of,
112–115

personality model example of,
113–114

value setting criteria,
118–120

Matrix movies,
20
,
101

Matteas, Michael,
314–315

Maxwell, James Clerk,
73–75
,
84

Maxwell’s theories vs. Einstein’s theories,
73–75
,
74
f

McCloud, Scott,
313

Meadows, Mark,
26
, 443

Meanings and sublanguages,
170–172

Media people (artsies),
72–76

Meehan, James,
327–328

Mental modules,
4–13

interaction of,
4–13
,
5
f,
7f–13f

language,
4–5

natural history,
4–5

social,
4–5

visual-spatial,
4–5

MentalState situations,
220

Meronyms,
173–174

Microsoft Word,
210
,
218

Military science and verb vs. noun thinking,
94–95

Moby Dick,
87–88

Models,
33–35
,
235

Mood variables,
186–191

Morphology of the Folktale (Propp, Vladimir),
153–156

Motifs (data-driven strategies),
148–159

Movement and space,
304–305

Movies (interactivized),
48–49

Multiplicative weighting factors,
116–117

Murtaugh, Michael,
50
,
63

Myst,
132

Name variables,
219

Narrative intelligence,
342

Natural history modules,
4

Natural-language grammars,
160–170

Nature of stories,
13–19

choices and,
17

conflict and,
16

overviews and summaries of,
13

people and,
15–16

puzzles and,
17

spectacle and,
18–19

strong structures,
14

Networks (semantic),
173–174

Neurophysological basis of Two Cultures problem,
76–77

New media people (artsies),
72–76

NewSpeak,
163

Newton, Isaac,
95

Non-effective simple strategies,
123–134

branching trees,
124–126
,
124
f

constipated stories,
130

foldback schemes,
126–129
,
126
f,
128
f

kill ‘em if they stray approaches,
130

overviews and summaries of,
123
,
134

storified games,
130–133
,
131
f

Noun thinking,
92–97

artist’s mathematical palettes and,
112–120
. See also Artist’s mathematical palettes

computers and,
94
,
96–97

economics and,
93
,
95–97

factories and,
94–96

language and,
93–95

military science and,
94–95

physics and,
93–95

vs. verb thinking,
91–120
. See also Verb thinking

yin-yang concept and,
92–97

Obstacles,
323–326

Odyssey,
21
,
141
,
212

Ong, Teong Joo,
321–323

Opportunity lists,
283

Options selection (roles and sequencing),
256–257

Ordinary folktales,
149

Orthogonality,
183–184
,
184
f

OverallValue,
250–251

Overspecificity,
185

Overview variables,
203–204

acceptability of violence,
204

dullness,
204

gross trust,
204

overviews and summaries of,
203–204

storyworld exploration,
204

Overviews and summaries.

of abstraction,
81–82
,
89

of anticipation,
245–246
,
253

of applications,
xvi–xvii

of combined interactive storytelling components,
45–63

of core technologies,
xvi–xvii

of data-drive strategies,
145
,
159

of development environments,
267
,
293

of drama managers,
201–203

of environmental strategies,
135–136
,
144

of HistoryBooks and Gossip systems,
227
,
243

of interactivity components,
25–26
,
44

of language-based strategies,
161–162
,
178

of non-effective simple strategies,
123
,
134

of personality models (character-driven approaches),
181–182
,
200

of prognostications,
343–351

of related constructs,
335–342

of research-related issues,
307–308
,
333

of roles and sequencing,
255–256
,
266

of stories and storytelling components,
3
,
23

of storytelling-interactivity pathways,
xvi–xvii

of strategies,
xvi–xvii

of thinking styles,
xvi–xvii

of Two Cultures problem,
67–69
,
79

of verbs and events,
217–218
,
226

Oz Project,
314–315

Pace-related factors,
28

PacMan,
127–129
,
128
f

Parsing (inverse),
172–173
,
288–289

Participation factors,
26–27

Pause and Effect: The Art of Interactive Narrative (Meadows, Mark),
26
, 443

People,
15–16
,
140

PerAttractive,
193

PerIntegrity,
192
,
248–249

PerIntelligence,
193

PerPower,
192–193
,
248–249

Personal narrative agents and drama managers,
329–330

PersonalEvaluation,
250–251

Personality models (character-driven approaches),
113–114
,
181–200

automatic relationship adjustments and,
194–196

development factor criteria for,
182–185
. See also Development factor criteria (personality models)

evaluation of,
200

examples of,
199–200

overviews and summaries of,
181–182
,
200

personality variables for,
186–190
. See also Personality variables

weighting factors for,
113–114
. See also Weighting factors

Personality shifts,
207

Personality variables,
186–199

accordance,
186–188
,
192

AccordAttractive,
192

AccordIntegrity,
192

AccordIntelligence,
192

AccordPower,
192

AccordVirtue,
192

Adrenaline,
191

Affection,
186
,
197–199

Anger,
194–195

Anger/Fear,
189–191

Arousal/Disgust and Arousal/Revulsion,
189–191

Attractiveness,
191

calculations with,
196–199

first-person,
186–188

Greed,
186

Inclination,
194–195

Integrity,
188–190

Intelligence,
193–193

intrinsic,
186–188
,
190–191
,
197–199

Joy/Sadness,
189–191

Manic/Depressive,
191

mood,
186–191

overviews and summaries of,
186

PerAttractive,
193

PerIntegrity,
192

PerIntelligence,
193

PerPower,
192–193

PerVirtue,
192
,
195–196

PerVirtueReliability,
195–196

Power,
187–188
,
191