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Tiêu đề Who Needs Emotions The Brain Meets The Robot
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Each agent builds in the brain a representation of both his or her own intended actions, using internal cues like beliefs and desires, and the potential actions of the other agent.. Thes

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Figure 6.1 A tentative illustration of the many interactions between two agents Each agent builds in the brain a representation of both his or her own intended actions, using internal cues like beliefs and desires, and the potential actions of the other agent These partly overlapping representations are used

by each agent to build a set of predictions and estimates about the social consequences of the represented actions, if and when they would be exe-cuted When an action comes to execution, it is perceived by the other agent

as a set of social signals which do or do not confirm predictions and possibly modify beliefs and desires

Beliefs and desires of

Agent A

Beliefs and desires of Agent B

Execution of action

Execution of action

Representation

of self-generated action

Representation

of observed action

Representation

of observed action

Social signals from Agent B

Social signals from Agent A

Who ?

Who ?

Estimation of social consequences

Estimation of social consequences

Representation

of self-generated action

in the pattern of cortical connectivity could alter the shape of the networks corresponding to different representations or the relative intensity of acti-vation in the areas composing these networks Although little is known on the functional aspects of cortical connectivity underlying the formation of these networks and, a fortiori, their dysfunction in schizophrenia, several studies have pointed to the prefrontal cortex as one of the possible sites for

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perturbed activation (e.g., Weinberger & Berman, 1996) Because prefron-tal areas normally exert an inhibitory control on other areas involved in vari-ous aspects of motor and sensorimotor processing, alteration of this control

in schizophrenic patients might result in aberrant representations of actions and emotions Referring to the diagram in Figure 6.1, one of the two agents would become “schizophrenic” if, due to an alteration in the pattern of con-nectivity of the corresponding networks, the degree of overlap between the representations in the brain increased in such a way that the representations would become indistinguishable from each other The pattern of misattribu-tion in this agent would be a direct consequence of this alteramisattribu-tion: for ex-ample, decreased self attribution if frontal inhibition were too strong or increased if it were too weak

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P A R T I I I

ROBOTS

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Affect and Proto-Affect

in Effective Functioning

andrew ortony, donald a norman, and william revelle

7

We propose a functional model of effective functioning that depends on the interplay of four relatively independent domains, namely, affect

(value), motivation (action tendencies), cognition (meaning), and

behavior (the organism’s actions) These domains of functioning all need

to be considered at each of three levels of information processing: the reactive, the routine, and the reflective levels The reactive level is pri-marily a hard-wired releaser of fixed action patterns and an interrupt generator, limited to such things as processing simple stimuli and initi-ating approach and avoidance behaviors This level has only proto-affect The routine level is the locus of unconscious, uninterpreted expectations and well-learned automatized activity, and is characterized by aware-ness, but not self-awareness This level is the locus of primitive and unconscious emotions The reflective level is the home of higher-order cognitive functions, including metacognition, consciousness, and self-reflection, and features full-fledged emotions In this framework, we characterize personality as a self-tunable system comprised of the tem-poral patterning of affect, motivation, cognition, and behavior Person-ality traits are a reflection of the various parameter settings that govern the functioning of these different domains at all three processing lev-els Our model constitutes a good way of thinking about the design of emotions in computational artifacts of arbitrary complexity that must

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