multiagent teamwork (AI), 321, 326 and social behavior, 23 and social context, 20 empathy, 154–56, 370 endocrine response control in brain stem, 88 to emotion, 14 and fear conditioning, 87 as function of emotion, 123 endorphins, 367 episodic memory, 127 ERGO architecture, 261–62 escape, 121 ethology, 246, 258, 286–88 evaluation checks, 16 evolution, of brain mechanisms and basis of emotions, 293–96 and chemotaxis, 35 and CogAff, 228–29 cognitive system in humans, 274 common currency for responses, 129–30 dopamine, role in, 55 and drug addiction, 63–66 and emotional heat, 360–70 emotional route to action, 123–24 emotion circuits, universality of, 85, 105 and emotions, 30–31, 373 emotions vs. reflexes, 12 fact- and need-sensors, 207 fitness of responses, 129–31 general framework, 30–31, 341–44 goals as adaptive, 124 mapping in H-CogAff, 226–27 and meta-management, 207 and motivational states, 33 and motivation/emotion, 35–37, 357 and <strong>the</strong> neuropeptide genes, 50 neurotransmitter role, 46–48 and reward and punishment, 117, 123–24, 369 seeking novel stimuli, 130 serotonin, role in, 55–56 and survival, 30, 33, 81, 130–31, 274–75, 293–96 and <strong>the</strong> triune brain, 40–41, 41 vision and language support, 344–55 executive functions (working memory). See working memory explicit route (dual route <strong>the</strong>ory). See also implicit route (dual route <strong>the</strong>ory) and consciousness, 134 described, 133–36 effect of alcohol, 135 and errors in implicit route, 135 explicit response path, 125 “if...<strong>the</strong>n” statements, 133, 134 and planning, 133–34 role of syntax, 118, 133–34, 369 extrastriate cortex, 17 extroversion, 178, 191, 192 eye blink responses, 87 index 391 F5 neurons, 350–53 facial expressions and <strong>the</strong> amygdala, 126, 140 and appraisal <strong>the</strong>ories of emotion, 319 and brain networks, 153–54 communication role, 153–54 emotional content, 14, 126, 360, 365 and emotional state, 20, 343–44 and <strong>the</strong> extrastriate cortex, 17 fear conditioning, 92–93 in Kismet robot, 281, 282–84, 283 meaning, 142 in multiagent systems, 323–24 and orbitofrontal cortex, 141 recognition, 126, 162 and schizophrenia, 162 and simulation <strong>the</strong>ory, 20 and stimulus evaluation checks, 16 universality of, 126 fact-sensors, 206, 207, 213. See also architectural basis for affect FARS model, 351, 351–52, 364 fatigue, as drive state, 32 fear and appraisal <strong>the</strong>ories, 322 architecture-based analysis, 231–33 and association learning, 232 as behavioral bias, 356 as behavioral cue, 313 in <strong>the</strong> behavioral model of a mantis, 252 and brain stem, 91 chemical basis for, 47 and danger detection/response, 86 as domain-specific emotion, 14 and emotion categories, 16 and emotion studies, 85–86, 101, 104 emotions vs. reflexes, 12 as facial expression, 126 and fearful behavior, 364 forms of, 231 and hypothalamus, 91 in <strong>the</strong> Kismet robot, 289, 295, 304–05 measurable effects of, 86 in multiagent systems, 321–22, 324–26 and oxytocin, 103 pathological, 95 and punishers, 119 regulation, and medial prefrontal cortex, 99 and reinforcement contingencies, 120 sex circuits interactions, 103 and social interaction, 20, 103 <strong>the</strong>rapy, 95 triggered by memories, 96 why we run from a bear, 80 fear conditioning across phyla, 87 auditory vs. context, 90 and conditioned stimulus (CS), 86, 89 contextual, 89–90, 90 described, 86–91 in humans, 92–93
392 index fear conditioning (continued) neural pathways, 89 neuroanatomy, 87–88 timing and responses, 87 feelings (emotional), 96–101, 174, 336–37. See also emotions female recognition, and prey recognition, 356 finite-state machines, and robot emotions, 234–35 first route. See implicit route (dual route <strong>the</strong>ory) flexibility and plasticity. See plasticity and flexibility fMRI (functional magnetic resonance imaging), 89 folk psychology, 227–29 four Fs, 355, 374–75 freezing response, 86, 87, 91 “Friday,” 318 frogs/toads motivation, 356–57 vision, 346–47, 348, 350 frustration as emotional category, 16 and orbitofrontal cortex, 141 and reinforcement contingencies, 120 and reward omission, 119 functional equivalence of animal emotions. See robots, behaviorist vs. feeling functional features of emotion. See architectural basis for affect; internal representation (of emotional systems) functional groups, 290, 290–92 functional magnetic resonance imaging (fMRI), 89 functional states. See architectural basis for affect future, past, and present, 176 general-purpose motor pattern generators, 357 general purpose systems, 32 goals, 207, 247 Go/NoGo tasks, 140 G proteins, 47, 53, 56 grasping brain mechanisms, 350–52 and language evolution, 352–53 and mirror system, 350–52 in monkeys, 159, 352, 359 and motor imagery, 150, 158 and <strong>the</strong> superior temporal sulcus, 352 grief, 120, 122 guilt, 14, 216 gulls, pecking at spot, 124 gustatory system, diagram, 137 HAL (in 2001 movie), 193 hallucination, 161, 162 happiness, 16, 118, 126 H-CogAff. See CogAff heat (emotional) and effective functioning model, 187, 197 evolutionary approach, 360–70 and robot emotions, 373–74 helicopter mission rehearsal and fear, 321–23 illustration, 314, 315 as multiagent teamwork illustration, 324–26 role allocations in fearful teams, 325 in TOP, 314–16 hippocampus and contextual representations, 91 and fear conditioning, 89–90 in <strong>the</strong> primitive brain, 40–41, 41, 44 role in cognition, 84 and TAM-WG, 359–60 “you are here” function, 363 homeostasis and domain-specific emotion processing, 14 in Kismet robot, 288–89, 293, 300–301, 302 and self-model, 22 hormone release. See endocrine response “how” visual system. See vision human-robot interactions. See also Kismet Project; robots, emotions emotions, and Electric Elves (E-Elves) sensing human emotions, 323 emotions, need for, 275–76 home-cleaning, 272–73 human comfort level, 247–48 need for emotions, in computer tutor, 334–35, 373, 375 robot as Avatar, Cyborg, Partner, Tool, 277–79 and robot interaction models, 263–66 robot paradigms, 276–77 social interaction, 10, 279–80 and Sony corporation, 258 teamwork in, 312 humans. See also emotions; human-robot interactions; infants and <strong>the</strong> amygdala, 92–96, 160, 365, 366 anxiety disorders, 93, 95 and attachment <strong>the</strong>ory, 255–56 and autonomy, 371 behavior defined in ethology, 246 consciousness in, 354 coping behavior, 319–21 and dopamine, 53 and facial expression processing, 153–54 fear conditioning, 92–93 and ideomotor action, 154 and interest, 296 joy and human interaction, 295 language in. See language and opioids, 61 and oxytocin, 103 reward and punishment, 369–70 and serotonin, 31, 56, 58 as social species, 279–80 and subjective states, 82 and vasopressin, 103 vision in, 343, 347, 348–49 hunger in <strong>the</strong> behavioral model of a mantis, 252 as domain-specific emotion, 15
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TLFeBOOK Who Needs Emotions? The Br
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The Nature of Emotion: Fundamental
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3 Oxford University Press, Inc., pu
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vi preface want their computer prog
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viii preface is required because th
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x preface prefer to read Part III b
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xii contents PART III: ROBOTS 7 Aff
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xiv contributors Jean-Marc Fellous
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4 perspectives RUSSELL: I confess t
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6 perspectives EDISON: Tinkering! Y
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10 perspectives HOW COULD WE TELL I
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12 perspectives This, of course, ra
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14 perspectives of a stimulus (e.g.
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16 perspectives an emotion is neith
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18 perspectives cognitive processes
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20 perspectives that they visually
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22 perspectives A self-model that c
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24 perspectives Brothers, L. (1997)
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30 brains specificity and flexibili
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32 brains It is useful to begin wit
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34 brains the readout of that syste
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36 brains A. 5 NH 4Cl Bacteria in c
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38 brains Although instinctual beha
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40 brains Motivated behavior requir
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42 brains emerged through decades o
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44 brains and gonadal and adrenal s
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46 brains voluntary control of acti
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48 brains A. Total cerebral input t
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50 brains sensory neurons, interneu
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52 brains functions. Niall (1982) n
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54 brains motivation arousal necess
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56 brains serotonergic system is pr
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58 brains as tree jumping (Doudet e
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60 brains then have a system that a
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62 brains heroin and other opiates,
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64 brains benefits that also presen
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66 brains and brain neurotransmitte
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68 brains Cardinaud, B., Gilbert, J
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70 brains Hess, W. R. (1957). The f
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72 brains MacLean, P. D. (1990). Th
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74 brains Pfaus, J. G., Damsma, G.,
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76 brains trained monkeys: Agonist
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80 brains We conclude by discussing
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82 brains to prove, theoretical dis
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84 brains is a mammalian specializa
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86 brains processing circuits to se
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88 brains amygdala) and the control
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90 brains comparison of the amygdal
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92 brains Is the Amygdala Necessary
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94 brains the amygdala to determine
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96 brains The medial prefrontal cor
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98 brains Many questions remain to
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100 brains by the amygdala might be
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102 brains United States, pair up w
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104 brains networks that participat
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106 brains Note Portions of this ch
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108 brains Davidson, R. J., & Irwin
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110 brains mediate emotional respon
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112 brains Salinas, J. A. (1995). I
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114 brains and thalamo-cortico-amyg
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118 brains and flexible in the orbi
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120 brains Pleasure Rage Anger Frus
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122 brains of the eliciting stimulu
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124 brains or a right turn to obtai
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126 brains cortex and basal ganglia
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128 brains tex of recent (episodic)
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130 brains the right value in the c
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132 brains by the process of condit
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134 brains memories to be held in p
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136 brains However, it may be expec
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138 brains Figure 5.4. Some of the
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140 brains acting through the ventr
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142 brains (cutting white matter) w
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144 brains References Alexander, R.
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146 brains Rolls, E. T. (1999a). Th
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148 brains directed to us or when t
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150 brains Specific methods, partly
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152 brains Movements performed by l
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154 brains processing of invariant
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156 brains more about them, their r
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158 brains see Zajonc, 1985), the i
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160 brains The question now arises
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162 brains situations where they ha
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164 brains Estimation of social con
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166 brains Davies, M., & Stone, T.
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168 brains Lhermitte, F. (1983). Ut
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174 robots perform unanticipated ta
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176 Table 7.1. Principal Organism F
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178 robots and cognitive domains. A
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180 robots that they are better tho
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182 robots irregularities or discon
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184 robots 3. A (positive) feeling
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186 robots We consider the well-est
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188 robots disturbed by the approac
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190 robots processing. We view para
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192 robots independent, a value on
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194 robots Implications of the Proc
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196 robots current affective state
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198 robots primitive fear at the ro
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200 robots Gray, J. A. (1990). Brai
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202 robots cesses underlying approa
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204 robots case of CogAff, conjectu
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206 robots some cases and in other
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208 robots DIRECT AND MEDIATED CONT
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210 robots Toward a Useful Ontology
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212 robots different varieties of m
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214 robots Primitive sensors provid
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216 robots Being in a state P of a
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218 robots terms of the ability to
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220 robots Varieties of Affective S
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222 robots Central Perception Actio
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224 robots control, where all the l
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226 robots layer (e.g., observing p
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228 robots are sometimes unclear, i
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230 robots for such a fast-acting s
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232 robots from mental processes ot
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234 robots The majority view in thi
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236 robots Will it be a long-term f
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238 robots or implicitly adopted de
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240 robots some undesirable emotion
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242 robots References Albus, J. S.,
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244 robots Sloman, A. (2001b). Evol
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246 robots state variables such as
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248 robots In order to make robots
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250 robots motivational state also
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252 robots Prey acquisition: This b
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254 robots Figure 9.3. Top photos:
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256 robots especially when young. E
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258 robots Object of Attachment Saf
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260 robots Mean distance to attachm
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262 robots 2003), but the intent is
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264 robots Affective State Emotion
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266 robots Motivational/emotional m
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268 robots Brooks, R. (1986). A rob
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272 robots responsible for perceivi
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274 robots species considered to be
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276 robots This endeavor does not i
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278 robots For example, the person
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280 robots mental states (i.e., int
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282 robots Expression of Affective
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284 robots Negative valence High ar
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286 robots and emotion-related proc
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288 robots For instance, the visual
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290 robots Undesired stimulus Rejec
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292 robots intensity: seek or acqui
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294 robots Table 10.2. Summary of t
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296 robots it up (Breazeal, 2002b).
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298 robots pitch, f o (kHz) pitch,
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300 robots Table 10.3. Overall Clas
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302 robots Each emotion gateway pro
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304 robots Biasing Attention Kismet
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306 robots be to vocalize to the pe
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308 robots References Ackerman, B.,
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310 robots Center for the Study of
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312 robots When team members align
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314 robots effects that the agent h
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316 robots double arrow), which imp
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318 robots that of “robot as avat
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320 robots terms of specific apprai
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322 robots their own self-survival
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324 robots explicit, intended commu
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326 robots Although, the emotion
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328 robots planning. In Proceedings
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334 conclusions handout and pleased
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336 conclusions emotion. How can we
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338 conclusions Presumably, the fac
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