Abstract: Tracing device for tracing contacts among a group of individuals in order to contain the spreading of an infectious disease, wherein the tracing device s configured to: a) transmit a respective individual identifier, b) receive the individual identifiers from other tracing devices in reach, and c) store individual identifiers received in b) in a log, and wherein the log of the tracing device can be read by a reading device.

Abstract: A method for valuating an object is disclosed, which includes an expert system that determines a value for a rule from the features of the object, weights the value with a weight from [0, 1] and valuates the object based on the value with a rule editor for defining rules for the valuation with one respective weight from [0, 1]; a rule module for determining a value per rule from the features and a valuation module are also disclosed for valuating the object based on the values, wherein the valuation module weights each value determined for a rule with the weight associated with the rule; and in a simplified manner, the expert system determines temporal progressions of the weight in an evolutionary algorithm, commencing with a start value, and selects a limit of the weight as a new weight, when the weight is converging, and the evolution module determines temporal progressions of at least one weight in an evolutionary algorithm selecting a new weight based on a converging behavior of the characteristics.

Abstract: A method for valuating an object is disclosed, which includes an expert system that determines a value for a rule from the features of the object, weights the value with a weight from [0, 1] and valuates the object based on the value with a rule editor for defining rules for the valuation with one respective weight from [0, 1]; a rule module for determining a value per rule from the features and a valuation module are also disclosed for valuating the object based on the values, wherein the valuation module weights each value determined for a rule with the weight associated with the rule; and in a simplified manner, the expert system determines temporal progressions of the weight in an evolutionary algorithm, commencing with a start value, and selects a limit of the weight as a new weight, when the weight is converging, and the evolution module determines temporal progressions of at least one weight in an evolutionary algorithm selecting a new weight based on a converging behavior of the characteristics.