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A description of the environment cognition process by intelligent systemswith a fixed set of system goals is suggested. Such a system is represented bythe set of its goals only without any models of the system elements or theenvironment. The set has a lattice structure and a monoid structure; thus, thestructure of linear logic is defined on the set. The cognition process of someenvironment by the system is described on this basis. The environment isrepresented as a configuration space of possible system positions which areestimated by an information amount (by corresponding sets). This information issupplied to the system by the environment. Thus, it is possible to define thecategory of Conway games with a payoff on the configuration space and to choosean optimal system's play (i.e., a trajectory). The choice is determined by therequirement of maximal information increasing and takes into account thestructure of the system goal set: the linear logic on the set is used todetermine the priority of possible different parallel processes. The survey maybe useful to describe the behavior of robots and simple biological systems,e.g., ants.

Game Semantics and Linear Logic in the Cognition Process