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328 FISCHER<br />

The first two steps are subject to the two constraints of semantic and structural similarity<br />

(Gentner et al. 1993). To simplify greatly, we are most likely to retrieve knowledge about<br />

source domains to which we apply some of the same terms (Wharton et al. 1996), and will<br />

then first map relations in the source-domain on their namesakes in the target-domain. This<br />

initial mapping then gets expanded and knocked into shape by enforcing one-to-one mapping<br />

and parallel connectivity: when mapping relations and properties, you also need to map their<br />

relata and arguments (e.g. Falkenhainer et al. 1989, Forbus et al. 1995).<br />

A mapping that satisfies these constraints brings out a relational structure which source and<br />

target domain share. The actual inference then proceeds by spontaneous completion of this<br />

pattern:<br />

Copying with substitution and generation (CSG):<br />

1. [Copying] When a source-domain element A (individual, property, or relation) has<br />

been mapped onto a target-domain element B, all the relations in which A stands in the<br />

source domain, plus relevant relata, are transferred onto B, into the target domain.<br />

2. [Substitution] As far as possible, relations and relata from the source domain are<br />

replaced by those elements of the target domain onto which they have been mapped.<br />

3. [Generation] Where an element of the source domain could not be mapped onto any<br />

element of the target domain, it is simply carried over identically, and new elements<br />

are postulated in the target domain, to the extent necessary to complete the transferred<br />

structure.<br />

Such analogical reasoning may lead to the metaphorical extension of terms, e.g., from the<br />

comparatively concrete source-domain of visual search or manual operation to the rather<br />

more abstract target-domain of goal-directed intellectual effort (cp. Jäkel 1995). About the<br />

intellectual achievement of understanding somebody’s action, e.g., we can say such things as:<br />

It is clear to me why you acted that way, when I manage to see your reasons – and<br />

obscure when I fail. I may look for reasons where these are hidden or be blind to<br />

reasons in plain view. An illuminating explanation throws new light on your action<br />

and lets me discern reasons I had previously overlooked, get a fuller picture, or at least<br />

catch some glimpse, of reasons about which I previously was completely in the dark.<br />

The same inferential relations between the involved terms obtain both in the concrete sourceand<br />

the more abstract target-domain. E.g., regardless of whether I am looking for my keys or<br />

your reasons, I cannot see what is lying in the dark, and something that sheds light may help<br />

me see it.<br />

The underlying analogical reasoning is highly systematic. It employs a series of related<br />

mappings unfolded by the most elementary analogical inferences from ‘basic mappings’ such<br />

as the mapping of seeing onto knowing:<br />

(1) S sees x → S knows x<br />

The first mappings made in analogical reasoning correlate elements of the different domains,<br />

to which the same concepts apply (Gentner et al. 1993). Prior to metaphorical extension, they<br />

hence map attributes and relations that obtain in both source- and target-domain onto<br />

themselves; according to the rules of CSG, these attributes and relations get ‘substituted’ by<br />

themselves (and are, in effect, simply copied). The most elementary CSG inferences involve<br />

only copying with substitution, no generation, and employ only such ‘mappings onto self’ plus<br />

a basic mapping like (1), while (non-relational) logical and modal operators, which also<br />

pertain to both domains, simply get copied.

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