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Mind, Body, World- Foundations of Cognitive Science, 2013a

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In his pioneering work on simulating the flight <strong>of</strong> a flock <strong>of</strong> artificial birds,<br />

called boids, Reynolds (1987) created lifelike flocking behaviour by having each<br />

independently flying boid adapt its trajectory according to three simple rules: avoid<br />

collision with nearby flock mates, match the velocity <strong>of</strong> nearby flock mates, and<br />

stay close to nearby flock mates. A related model (Couzin et al., 2005) has been successfully<br />

used to predict movement <strong>of</strong> human crowds (Dyer et al., 2008; Dyer et al.,<br />

2009; Faria et al., 2010).<br />

However, many human social interactions are likely more involved than the<br />

simple behavioural loops that defined the social interactions amongst Grey Walter’s<br />

(1963) Tortoises or the flocking behaviour <strong>of</strong> Reynolds’ (1987) boids. These interactions<br />

are possibly still behavioural loops, but they may be loops that involve processing<br />

special aspects <strong>of</strong> the social environment. This is because it appears that the<br />

human brain has a great deal <strong>of</strong> neural circuitry devoted to processing specific kinds<br />

<strong>of</strong> social information.<br />

Social cognition is fundamentally involved with how we understand others<br />

(Lieberman, 2007). One key avenue to such understanding is our ability to use and<br />

interpret facial expressions (Cole, 1998; Etc<strong>of</strong>f & Magee, 1992). There is a long history<br />

<strong>of</strong> evidence that indicates that our brains have specialized circuitry for processing<br />

faces. Throughout the eighteenth and nineteenth centuries, there were many<br />

reports <strong>of</strong> patients whose brain injuries produced an inability to recognize faces<br />

but did not alter the patients’ ability to identify other visual objects. This condition<br />

was called prosopagnosia, for “face blindness,” by German neuroscientist Joachim<br />

Bodamer in a famous 1947 manuscript (Ellis & Florence, 1990). In the 1980s, recordings<br />

from single neurons in the monkey brain revealed cells that appeared to be tailored<br />

to respond to specific views <strong>of</strong> monkey faces (Perrett, Mistlin, & Chitty, 1987;<br />

Perrett, Rolls, & Caan, 1982). At that time, though, it was unclear whether analogous<br />

neurons for face processing were present in the human brain.<br />

Modern brain imaging techniques now suggest that the human brain has<br />

an elaborate hierarchy <strong>of</strong> co-operating neural systems for processing faces and<br />

their expressions (Haxby, H<strong>of</strong>fman, & Gobbini, 2000, 2002). Haxby, H<strong>of</strong>fman, and<br />

Gobbini (2000, 2002) argue for the existence <strong>of</strong> multiple, bilateral brain regions<br />

involved in different face perception functions. Some <strong>of</strong> these are core systems that<br />

are responsible for processing facial invariants, such as relative positions <strong>of</strong> the eyes,<br />

nose, and mouth, which are required for recognizing faces. Others are extended<br />

systems that process dynamic aspects <strong>of</strong> faces in order to interpret, for instance,<br />

the meanings <strong>of</strong> facial expressions. These include subsystems that co-operatively<br />

account for lip reading, following gaze direction, and assigning affect to dynamic<br />

changes in expression.<br />

Facial expressions are not the only source <strong>of</strong> social information. Gestures and<br />

actions, too, are critical social stimuli. Evidence also suggests that mirror neurons in<br />

246 Chapter 5

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