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2. Philosophy - Stefano Franchi

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264<br />

A NACLASTIC SUPPLEMENTS<br />

tificial Intelligence counterpart. Second, the structure of a myth, for example, is constructed<br />

“bottom-up”, e.g. it is built from a complete description of all the narrative variants that are<br />

actually found in the literature. Each variant constitutes its own context, and the basic rela-<br />

tions used to build the group that generates the structure are found by permutating the ele-<br />

ments in all their contexts.<br />

Thus, a first attempt at a formalization of chess, for example, into a structure (as op-<br />

posed to a search-space) would start not from an abstract description of the “moves” of the<br />

game, e.g. the higher level constraints that make the game possible, but rather from a col-<br />

lection of chess games equivalent of the single variants of a myth: the single games of<br />

chess. It would then proceed to isolate the basic elements of the game, the chess equivalent<br />

of the gross constituent units of the myth. It is not totally clear what these would be. If we<br />

remember that, in the myth, such units are basically found at the sentence level (by analogy<br />

from linguistics) we may try to found a sentence equivalent in the internal dynamic of the<br />

game of chess. A single move of a determinate piece may too small of a unit, whereas a<br />

sequence of moves representing, for example, the development of a piece, e.g. the expres-<br />

sion of a certain action that a piece perform, may probably be better suited to the task. The<br />

concept of heuristic rules can perhaps be reintroduced, with modifications, at this level of<br />

the analysis as the sequence of moves a chess piece (or more) uses to carry out a task like<br />

“occupying the center,” “protecting the king,” etc. From an Artificial Intelligence perspec-<br />

tive, heuristic rules act as a higher level constraint on the search-space that introduce mean-<br />

ingful relations: they act as a constraint higher than the moves themselves that made up the<br />

space in the first place. Thus, they seem a natural candidate for the similar, higher level role<br />

that the gross constituent units play within Lévi-Strauss’s theoretical approach.<br />

The analysis would then proceed, on the basis of the catalog of existing games, to re-<br />

trieve the relations tying together the single constituents and, from then, would try to con-<br />

struct a group binding all the relations in a tidy structure. It should be noted that this<br />

approach to the game of chess, if carried out, would come up with the formalization of a<br />

different object than “the” game of chess that game-theory inspired to Artificial Intelli-<br />

gence. In fact, it would be misleading to call it the game of chess: by analogy with Lévi-

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