Systems and methods for understanding human interactive behavior and its interpretation are provided. The systems and methods of the present invention are applicable to the interpretation of interactions between individuals, groups and societies in almost any social setting and time period. In this regard, the present invention provides a culture-based method of predicting human behavior, its interpretation, probability, type and magnitude of response. The method includes, for example, the steps of: identifying a culture to be analyzed; identifying a behavioral communication; associating the identified behavioral communication with a behavioral reference indicia; associating the behavioral reference indicia with a culture-based behavior response indicia indicative of the probability, magnitude, and type of positive or negative behavior response to the identified behavioral communication; associating the behavioral reference indicia with a culture-based interpretation indicia indicative of the probability and magnitude of positive or negative interpretation of the identified behavior; and outputting at least the culture-based behavior response indicia for display. The behavioral reference indicia is classification and identification mechanism by which behaviors having minor or major differences there between may be indexed for database organization. The interpretation indicia is preferably an indicia indicative of the probability and magnitude of positive or negative interpretation of the identified behavior within the culture. The behavior response indicia is preferably indicative of the probability and magnitude of positive or negative behavioral response to the identified behavioral communication. The present invention also determines of the Interpretation Indicia has exceeded a veto threshold.
The present invention provides a model for assessing performance of a dynamic collaborative relationship. The present invention provides a method of modeling dynamic relationships by inputting data related to the collaborative relationship into a model, which comprises a plurality of components key to the collaborative relationship. Each of these components is interrelated with the model, and the model generates a value indicative of a condition or performance of the relationship. The relationship value can be analyzed by comparison with baseline values correlated to exemplary collaborative relationships. The present invention further provides methods of developing a model capable of assessing dynamic collaborative relationships.
A system and method of operating a monitoring and response system for an actor in a daily living environment that relies upon learned models of behavior for adapting system operation. The learned model of behavior preferably includes sequential patterns organized pursuant to assigned partition values that in turn are generated based upon an evaluation of accumulated data. Based upon reference to the learned model of behavior, the system can generate more appropriate response plans based upon expected or unexpected activities, more readily recognize intended activities, recognize abandoned tasks, formulate probabilities of method choice, build probabilities of action success, anticipate and respond to actor movement within the environment, optimize response plan effectiveness, and share learned models across two or more separate system installations.
