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Who Needs Emotions? The Brain Meets the Robot

Who Needs Emotions? The Brain Meets the Robot

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obot emotion 289<br />

ter 5 (Rolls). Hence, <strong>the</strong> affective contributions of <strong>the</strong> drives do not directly<br />

evoke emotive responses, but <strong>the</strong>y do bias <strong>the</strong> robot’s net affective state. In<br />

this sense, <strong>the</strong> drives contribute to <strong>the</strong> robot’s “mood” over time, which makes<br />

<strong>the</strong> corresponding emotive responses easier to elicit.<br />

Drives shape <strong>the</strong> internal agenda of <strong>the</strong> robot (in concert with perceptual<br />

and emotive factors) and play an important role in determining which<br />

behavior to next engage. To keep its activation level within <strong>the</strong> homeostatic<br />

regime, each drive can preferentially spread activation to behaviors at <strong>the</strong><br />

top level of <strong>the</strong> behavior hierarchy that help to restore that drive (described<br />

in detail in <strong>the</strong> following section).<br />

Behaviors, in turn, encode specific task-achieving goals that serve to<br />

maintain <strong>the</strong> robot’s internal state (as defined by <strong>the</strong> state of <strong>the</strong> drives and<br />

“emotions”). To remain in balance (near <strong>the</strong> center of <strong>the</strong> spectrum), it is<br />

not sufficient that <strong>the</strong> satiatory stimulus merely be present; it must also be<br />

of good quality. For instance, in <strong>the</strong> absence of <strong>the</strong> satiatory stimulus (or if<br />

<strong>the</strong> intensity is too low), a drive increases in intensity to <strong>the</strong> positive end of<br />

<strong>the</strong> spectrum and preferentially biases <strong>the</strong> activation of those behaviors that<br />

seek out that stimulus. In addition, <strong>the</strong> affective contribution of <strong>the</strong> drive<br />

(negative valence and low arousal) contributes to a net affective state that<br />

makes it easier for <strong>the</strong> sorrow emotive response to become active. Sorrow<br />

represents a different strategy to help <strong>the</strong> robot come into contact with a<br />

desired stimulus by signaling to people that it needs attention.<br />

Alternatively, if <strong>the</strong> satiatory stimulus is too intense (e.g., a visual stimulus<br />

moving too fast or too close to <strong>the</strong> robot’s face), a drive tends toward <strong>the</strong><br />

extreme negative end of <strong>the</strong> spectrum. In this circumstance, <strong>the</strong> drive biases<br />

<strong>the</strong> activation of avoidance behaviors to limit <strong>the</strong> robot’s exposure to<br />

<strong>the</strong> intense stimulus. Also, <strong>the</strong> affective contribution of <strong>the</strong> drive (negative<br />

valence, high arousal) contributes to a net affective state that makes it easier<br />

for Kismet’s fear response to become active. Once active, <strong>the</strong> fearful expression<br />

on Kismet’s face signals people to back off a bit.<br />

Hence, <strong>the</strong> drives work in concert with behaviors and contribute to an<br />

affective state that helps Kismet keep its level of interaction with <strong>the</strong> world<br />

and people in balance, nei<strong>the</strong>r too much nor too little.<br />

Behavior Arbitration as Decision Making<br />

Within <strong>the</strong> behavior system, <strong>the</strong> behavior processes are organized into loosely<br />

layered, heterogeneous hierarchies of behavior groups (see Fig. 10.4), much<br />

in <strong>the</strong> spirit of those ethological models proposed by Tinbergen (1951) and<br />

Lorenz (1973). Implicit in this model is that a decision is being made among<br />

several alternatives at every level of <strong>the</strong> hierarchy, of which one is chosen.

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