Procedures for forming an element of an actor's world model (sign) introduced in the first part of this study are considered. The process of forming the pair image--sign significance taking into account the modern understanding of the human brain cortex operation is investigated. An algorithm for synthesizing a behavior plan is constructed, and a novel architecture of intelligent agents that are able, among other things, to distribute roles in coalitions is proposed.
Functions that are referred in psychology as functions of consciousness are considered. These functions include reflection, consciousness of activity motivation, goal setting, synthesis of goal oriented behavior, and some others. The description is based on the concept of sign, which is widely used in psychology and, in particular, in the cultural–historical theory by Vygotsky, in which sign is interpreted informally. In this paper, we elaborate upon the concept of sign, consider mechanisms of sign formation, and some self?organization on the set of signs. Due to the work of self?organization mechanisms, a new method for the representation of the world model of an actor appears. The concept of semiotic network is introduced that is used for the examination of the actor’s world models. Models of some functions indicated above are constructed. The second part of the paper is devoted to func? tions of self?consciousness and to the application of the constructed models for designing plans and constructing new architectures of intelligent agents that are able, in particular, to distribute roles in coalitions.
This article is about behavior control as a functioness.
An approach to the construction of a stabilizing feedback for linear time variant systems is considered. This approach is based on a heuristic isolation of two simplified subsystems of lower dimension. For these subsystems, stabilizing regulators are constructed and then combined into a composite regulator. This paper generalizes the results obtained earlier, which can lead to a significant expansion of the scope of composite control. This is illustrated by a number of examples.
Abstract—An approach to the control of robots behavior based on the emotion and temperament mechanism is proposed. It is shown that these psychological features can be simulated fairly simply. The proposed emotionnbased architecture of the robot control system leans upon the Simonov informational theory of emotions, while the specific features of temperament are reduced to a twooparammeter model of the excitation–inhibition type. Experiments performed with mobile robots are described. These experiments demonstrate a set of various types of robots' behavior: melancholic, chooleric, sanguine, and phlegmatic. All these types were implemented using the soocalled temperament controller, which determines a balance between the excitation and inhibition parameters of the robot control system. An FSMMbased model of temperament is also proposed that makes it possible to describe the behavior of an individual. Using this model, it is shown that, for performing certain colllective behavior tasks, it is useful to have in the group individuals with different behavior so that this behavior also depends on the individual emotions and temperament of robots.
Quite many engineering problems, problems from ecology, medicine, and social sciences are characterized by the presence of factors bringing uncertainty into the corresponding control systems. Additional difficulties for control action construction arise in the case when the objects are described by nonlinear highorder evolutionary equations. An important subset of these objects consists of the object with interval parametric uncertainty with a given control objective and with a given a given termination time of the transient process. For this objects, one of the possible ways of control action synthesis is the application of the guaranteed control concept. We propose the method of control synthesis for one class of nonlinear uncertain objects with using their robust models having linear structure and the parameters, depending on their state.
The boundary controllability of oscillations of a plane membrane is studied. The magnitude of the control is bounded. The controllability problem of driving the membrane to rest is considered. The method of proof proposed in this paper can be applied to any dimension but only the two-dimen- sional case is considered for simplicity.
For a mult i-mode control plant, a system of equations is obtained so thai its solution helps construct a robust controller that ensures the quality of system functioning close to optimal for the normal mode and acceptable availability for the emergency mode. An approximate method to solve this problem is given.
A plant can typically operate in normal and emergency modes. A method of correcting the controller that is optimal in normal mode so as to make it operate satisfactorily in the emergency mode is de-scribed. The available approaches to the solution of this class of problems (see [1–4]) are elaborated. In distinction from the solution of one such problem in , the requirement that the numbers of right poles of the transfer functions of the plant in the normal and emer-gency modes be identical is removed.