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Who Needs Emotions? The Brain Meets the Robot

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228 robots<br />

are sometimes unclear, inarticulate, confused, or inconsistent, <strong>the</strong> clarity and<br />

consistency of our use of concepts like emotion, attention, learning, and so on<br />

will be undermined. So, scientists, engineers, and philosophers who use those<br />

concepts to ask questions, state <strong>the</strong>ories, or propose practical goals are likely to<br />

be confused or unclear. If we use architecture-based concepts, by defining new,<br />

more precise versions of our old mental concepts in terms of <strong>the</strong> types of processes<br />

supported by an underlying architecture, we may hope to avoid arguing<br />

at cross purposes, e.g. about which animals have emotions, or how consciousness<br />

evolved. (Similar comments may be made about using architecture-based<br />

analysis to clarify some technical concepts in psychology, e.g. drive, executive<br />

function.)<br />

Where to Begin?<br />

We agree with Turner & Ortony (1992) that <strong>the</strong> notion of “basic emotion”<br />

involves deep muddles. Searching for a small number of basic emotions from<br />

which o<strong>the</strong>rs are composed is a bit like searching for a small number of chemical<br />

reactions from which o<strong>the</strong>rs are composed. It is <strong>the</strong> wrong place to look.<br />

To understand a wide variety of chemical processes, a much better strategy<br />

is to look for a collection of basic physical processes in <strong>the</strong> physical mechanisms<br />

that underly <strong>the</strong> chemical reactions and see how <strong>the</strong>y can be combined.<br />

Likewise, with emotions, it is better to look for an underlying collection<br />

of processes in information-based control systems (a mixture of virtual and<br />

physical machines) that implement a wide variety of emotional (and o<strong>the</strong>r<br />

affective) states and processes, ra<strong>the</strong>r than to try to isolate a subset of emotions<br />

to provide <strong>the</strong> basis of all o<strong>the</strong>rs, for example, by blending or vector<br />

summation (see Chapter 10, Breazeal & Brooks).<br />

<strong>The</strong> kinds of architectural presupposition on which folk psychology is<br />

based are too vague and too shallow to provide explanations for working<br />

systems, whe<strong>the</strong>r natural or artificial. Never<strong>the</strong>less, folk psychology is a useful<br />

starting point as it is very rich and includes many concepts and implicit <strong>the</strong>ories<br />

that we use successfully in everyday life. However, as scientists and<br />

engineers, we have to go beyond <strong>the</strong> architectures implicit in folk psychology<br />

and add breadth and depth.<br />

Since we do not know enough yet to get our <strong>the</strong>ories right <strong>the</strong> first time,<br />

we must be prepared to explore alternative architectures. In any case, <strong>the</strong>re<br />

are many types of organism with many similarities and differences in <strong>the</strong>ir<br />

architectures. Different artificial systems will also need different architectures.<br />

So, <strong>the</strong>re are many reasons for not attending exclusively to any one<br />

kind of architecture. Many different conjectured architectures can be inspired<br />

by empirical evidence regarding biological systems, including humans at dif-

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