Abstract: A method and a sub-system, henceforth called method DKA, for the determination and control of the activities of an emotional system aS, belonging to the class of autonomous, motivated agents and robots, is described. The method DKA determines the current motivation of the system aS to carry out an activity. Said motivation is determined by stimulus patterns in situation models and the intensities of the satisfactions and the desires with regard to the needs of the system aS. Priorities for the activities of the aS are determined by motivations. DKA controls sub-activities which, at the request of the system aS, are carried out by other agents/robots. The method DKA can assess which objects, situations and activities are presently good and which are bad for the system aS. The applied internal representation of the world of the system aS can include very abstract situation models.

Abstract: There are described methods for determining intensities of satisfactions and desires of a virtual creature vP (e.g. motivated agent system, virtual man in Internet). These intensities are represented, at time t, by functions bef(vP,b,t) (the intensity of satisfaction with respect to need b) and des(vP,b,t) (the intensity of desire with respect to need b). In this paper are described methods for determining intensities bef(vP,b,t) and des(vP,b,t). These methods may be applied in order to: (i) simulate satisfactions and desires, and determine emotion states of an artificial creature vP, (ii) develop a control algorithm which determines the behavior of vP, (iii) build in such semantic of man emotions into artificial creature vP that vP would better understand emotional behavior of a man.

Abstract: A method and subsystem, called method DKA, for determining and controlling activites of an emotional system, aS, which belongs to the class of autonomous, motivated agents and robots, is described. The method DKA determines the current motivation of the system aS to execute an activity. This motivation is determined by stimulus patterns in situation models, and intensities of satisfactions and desires, with regard to needs of the system aS. Priorities of activities of aS are determined by motivations. DKA controls sub-activities which, by orders of the system aS, are executed by other agents/robots. The method DKA can judge which objects, situations and activities are good (at present) and which are bad for aS. The used internal representation of the world of aS can contain very abstract situation models.

Abstract: There are described methods for determining intensities of satisfactions and desires of a virtual creature vP (e g motivated agent system, virtual man in Internet). These intensities are represented, at time t, by functions bef(vP,b,t) (the intensity of satisfaction with respect to need b) and des(vP,b,t) (the intensity of desire with respect to need b)—these functions are used in my patent description [AS1] (2000). In this paper are described methods for determining intensities bef(vP,b,t) and des(vP,b,t). These methods may be applied in order to: (i) simulate satisfactions and desires, and determine emotion states of an artificial creature vP, (ii) develop a control algorithm which determines the behaviour of vP, (iii) build in such semantic of man emotions into artificial creature vP that vP would better understand emotional behaviour of a man.