Abstract: Exemplary embodiments disclose a method, a computer program product, and a computer system for generating dialogue via hashing functions. Exemplary embodiments may include detecting dialogue between one or more participants, converting the dialogue to a hashcode, and determining one or more responses to the dialogue by applying one or more models to the hashcode, wherein the one or more models correlates one or more hashcodes with the one or more responses.

Abstract: Exemplary embodiments disclose a method, a computer program product, and a computer system for generating dialogue via hashing functions. Exemplary embodiments may include detecting dialogue between one or more participants, converting the dialogue to a hashcode, and determining one or more responses to the dialogue by applying one or more models to the hashcode, wherein the one or more models correlates one or more hashcodes with the one or more responses.

Abstract: Embodiments are directed to a computer implemented business campaign development system. The system includes an electronic tool configured to hold data of a user, and an analyzer circuit configured to derive a cognitive trait of the user based at least in part on the data of the user. The system further includes a targeted business strategy development system configured to derive a targeted business strategy based at least in part on the cognitive trait of the user.

Abstract: Embodiments are directed to a computer implemented business campaign development system. The system includes an electronic tool configured to hold data of a user, and an analyzer circuit configured to derive a cognitive trait of the user based at least in part on the data of the user. The system further includes a targeted business strategy development system configured to derive a targeted business strategy based at least in part on the cognitive trait of the user.

Abstract: Embodiments relate to facilitating a meeting. A method for reducing an amount of communications to analyze in order to determine a cognitive state of an entity is provided. The method determines a first likelihood of an entity to have a particular cognitive state based on a set of physiological measures of the entity. The method receives communications from the entity. The method generates a graph of communications of the entity. The method performs a graphical text analysis on the graph to determine a second likelihood of the entity to have the particular cognitive state. The method determines whether the entity has the particular cognitive state based on the first likelihood and the second likelihood.

Abstract: Embodiments relate to facilitating a meeting. A method for reducing an amount of communications to analyze in order to determine a cognitive state of an entity is provided. The method determines a first likelihood of an entity to have a particular cognitive state based on a set of physiological measures of the entity. The method receives communications from the entity. The method generates a graph of communications of the entity. The method performs a graphical text analysis on the graph to determine a second likelihood of the entity to have the particular cognitive state. The method determines whether the entity has the particular cognitive state based on the first likelihood and the second likelihood.

Abstract: Embodiments relate to facilitating a meeting. A method for facilitating a meeting of a group of participants is provided. The method generates a graph of words from speeches of the participants as the words are received from the participants. The method partitions the group of participants into a plurality of subgroups of participants. The method performs a graphical text analysis on the graph to identify a cognitive state for each participant and a cognitive state for each subgroup of participants. The method informs at least one of the participants about the identified cognitive state of a participant or a subgroup of participants.

Abstract: Embodiments are directed to a computer implemented neural stimulation system having a first module configured to derive neural data from muscle contractions or movements of a subject. The system further includes a second module configured to derive a neural state assessment of the subject based at least in part on the neural data. The system further includes a third module configured to derive at least one neural stimulation parameter based at least in part on the neural state assessment. The system further includes a fourth module configured to deliver neural stimulations to the subject based at least in part on the at least one neural stimulation parameter.

Abstract: Methods, systems and apparatus for modeling states of an entity are presented. For example, a method, implemented on a processor device, of modeling one or more states of an entity is presented. The method includes obtaining a training dataset for training a model by applying a stimulus to the entity, forming a set of model parameters, and using the set of model parameters to form the model, such that the model is configured to predict at least one of the one or more states of the entity. At least one model parameter of the set of model parameters changes with time as a result of dependency of the at least one model parameter on the stimulus and as a result of time-dependency of the stimulus. The steps of obtaining the training dataset, forming the set of model parameters and using the set of model parameters are implemented on the processor device.

Abstract: Embodiments are directed to a computer implemented neural stimulation system having a first module configured to derive neural data from muscle contractions or movements of a subject. The system further includes a second module configured to derive a neural state assessment of the subject based at least in part on the neural data. The system further includes a third module configured to derive at least one neural stimulation parameter based at least in part on the neural state assessment. The system further includes a fourth module configured to deliver neural stimulations to the subject based at least in part on the at least one neural stimulation parameter.

Abstract: Embodiments are directed to a computer system for securing an electronic device. The system includes at least one processor configured to receive at least one communication from an entity seeking to access the device. The at least one processor is further configured to generate a graph of the at least one communication from the entity seeking access to the device. The at least one processor is further configured to determine a difference between a cognitive trait of the entity seeking access to the device, and a cognitive identity of an entity authorized to access the device. The at least one processor is further configured to, based at least in part on a determination that the difference is greater than a threshold, deploy a security measure of the device.

Abstract: Embodiments are directed to a computer system for securing an electronic device. The system includes at least one processor configured to receive at least one communication from an entity seeking to access the device. The at least one processor is further configured to generate a graph of the at least one communication from the entity seeking access to the device. The at least one processor is further configured to determine a difference between a cognitive trait of the entity seeking access to the device, and a cognitive identity of an entity authorized to access the device. The at least one processor is further configured to, based at least in part on a determination that the difference is greater than a threshold, deploy a security measure of the device.

Abstract: Embodiments relate to moderating an online discussion. A method for moderating an online discussion between a plurality of participants is provided. The method receives expressions from a participant during an online discussion. The method generates a graph of expressions of the participant. The method performs a graphical text analysis on the graph to determine a likelihood of the participant to have a problematic behavior. The method performs a moderating action responsive to the likelihood exceeding a threshold likelihood.

Abstract: Embodiments are directed to a computer implemented neural stimulation system having a first module configured to derive neural data from muscle contractions or movements of a subject. The system further includes a second module configured to derive a neural state assessment of the subject based at least in part on the neural data. The system further includes a third module configured to derive at least one neural stimulation parameter based at least in part on the neural state assessment. The system further includes a fourth module configured to deliver neural stimulations to the subject based at least in part on the at least one neural stimulation parameter.

Abstract: Embodiments are directed to a computer implemented neural stimulation system having a first module configured to derive neural data from muscle contractions or movements of a subject. The system further includes a second module configured to derive a neural state assessment of the subject based at least in part on the neural data. The system further includes a third module configured to derive at least one neural stimulation parameter based at least in part on the neural state assessment. The system further includes a fourth module configured to deliver neural stimulations to the subject based at least in part on the at least one neural stimulation parameter.

Abstract: A method, information processing system, and computer readable article of manufacture reinforce behavior in an individual. A behavior associated with an individual is monitored. A determination is made, based on the monitoring, that the behavior substantially matches a behavior in a set of behaviors. A set of interactive actions associated with the behavior are identified. At least one of the interactive actions in the set of interactive actions is selected. The at least one of the interactive actions that has been selected is performed. A response from the individual is monitored in response to the least one of the interactive actions being performed. An indicator is associated with the at least one of the interactive actions based on the reaction from the individual. The indicator indicates a relative degree of success in obtaining a desired response from the individual.

Abstract: Embodiments relate to determining a crowd behavior. A method of determining a crowd behavior is provided. The method collects, at one or more recording points in a crowd of individuals, audible expressions that the individuals of the crowd make. The method generates a graph of the audible expressions as the audible expressions are collected from the individuals. The method determines a crowd behavior by performing a graphical text analysis on the graph. The method outputs an indication of the crowd behavior to trigger a crowd control measure.

Abstract: Embodiments relate to determining a crowd behavior. A method of determining a crowd behavior is provided. The method collects, at one or more recording points in a crowd of individuals, audible expressions that the individuals of the crowd make. The method generates a graph of the audible expressions as the audible expressions are collected from the individuals. The method determines a crowd behavior by performing a graphical text analysis on the graph. The method outputs an indication of the crowd behavior to trigger a crowd control measure.

Abstract: Embodiments relate to facilitating communications between customers and customer service representatives. A method for facilitating communications between customers and customer service representatives is provided. The method generates a graph of expressions of a customer. The method generates a graph of expressions of each customer service representative of a plurality of customer service representatives. The method performs a graphical text analysis on the graph for the customer to identify an interaction style of the customer. The method performs a graphical text analysis on the graph for each customer service representative to identify an interaction style of the customer service representative. The method selects a customer service representative from the plurality of the customer service representatives based on the interaction style of the customer and the interaction styles of the plurality of the customer service representative.

Abstract: Embodiments relate to facilitating communications between customers and customer service representatives. A method for facilitating communications between customers and customer service representatives is provided. The method generates a graph of expressions of a customer. The method generates a graph of expressions of each customer service representative of a plurality of customer service representatives. The method performs a graphical text analysis on the graph for the customer to identify an interaction style of the customer. The method performs a graphical text analysis on the graph for each customer service representative to identify an interaction style of the customer service representative. The method selects a customer service representative from the plurality of the customer service representatives based on the interaction style of the customer and the interaction styles of the plurality of the customer service representative.