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Who Needs Emotions? The Brain Meets the Robot

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378 conclusions<br />

3. As already noted, such interpretations are tentative, designed to stimulate a<br />

dialogue between <strong>the</strong> discussion of realistically complex emotional behavior and<br />

<strong>the</strong> neurobiological analysis of well-constrained aspects of motivation and emotion.<br />

Thus, in contrast to <strong>the</strong> above analysis, one might claim that <strong>the</strong>re are no separate<br />

emotions, that all emotions are linked somehow, and that <strong>the</strong> experience of one<br />

emotion depends on <strong>the</strong> experience of ano<strong>the</strong>r. I invite <strong>the</strong> reader to conduct a<br />

personal accounting of such alternatives.<br />

4. Arbib and Lieblich (1977) used positive values for appetitive drives and<br />

negative values for aversive drives, but I will use positive values here even for negative<br />

drives.<br />

5. Of course, at one level of analysis, one could construe, for example an autonomous<br />

system governed by an adaptive neural network as following a “program”<br />

expressed at <strong>the</strong> level of neural and synaptic dynamics. Conversely, a present-day<br />

personal computer will check for e-mail even as its user is actively engaged in some<br />

o<strong>the</strong>r activity, such as word processing. Thus, <strong>the</strong> notion of autonomy here is one<br />

of degree.<br />

References<br />

Arbib, M. A. (1966). Simple self-reproducing universal automata. Information and<br />

Control, 9, 177–189.<br />

Arbib, M. A. (1985). In search of <strong>the</strong> person: Philosophical explorations in cognitive<br />

science. Amherst: University of Massachusetts Press.<br />

Arbib, M. A. (1987). Levels of modeling of visually guided behavior (with peer<br />

commentary and author’s response). Behavioral and <strong>Brain</strong> Sciences, 10, 407–<br />

465.<br />

Arbib, M. A. (1989). <strong>The</strong> metaphorical brain 2: Neural networks and beyond. New<br />

York: Wiley-Interscience.<br />

Arbib, M. A. (1992). Book review: Andrew Ortony, Gerald L. Clore, & Allan Collins,<br />

<strong>The</strong> cognitive structure of emotions. Artificial Intelligence, 54, 229–240.<br />

Arbib, M. A. (2001). Co-evolution of human consciousness and language. In P. C.<br />

Marijuan (Ed.), Cajal and consciousness: Scientific approaches to consciousness<br />

on <strong>the</strong> centennial of Ramón y Cajal’s textura (pp. 195–220). New York: New<br />

York Academy of Sciences.<br />

Arbib, M. A. (2002). <strong>The</strong> mirror system, imitation, and <strong>the</strong> evolution of language.<br />

In C. Nehaniv & K. Dautenhahn (Eds), Imitation in animals and artifacts, <strong>The</strong><br />

MIT Press, pp. 229–280.<br />

Arbib, M. A. (2003). Rana computatrix to human language: Towards a computational<br />

neuroethology of language evolution. Philosophical Transactions of <strong>the</strong><br />

Royal Society of London. Series A, 361, 1–35.<br />

Arbib, M. A., & Hesse, M. B. (1986). <strong>The</strong> construction of reality. Cambridge: Cambridge<br />

University Press.<br />

Arbib, M. A., & Lieblich, I. (1977). Motivational learning of spatial behavior. In<br />

J. Metzler (Ed.), Systems Neuroscience (pp. 221–239). New York: Academic Press.

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