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