Abstract: Embodiments of a collective intelligence experience system and method may include a processor and a memory accessible to the processor. The memory may be configured to store instructions that, when executed, cause the processor to provide one or more recommended searches to an interface based on collective information and in response to input data at the interface. In some embodiments, with respect to the one or more recommended searches, the system may provide recommendations, advice, associated data, or any combination thereof. In some embodiments, the collective intelligence experience system may determine a true value of a product, a service, or information based on a context of the request at a point in time.

Abstract: Decision systems and processes implementing digital personas are presented. A digital persona is a digital representation of an entity in accordance with a specific set of rules, preferences, or priorities with respect to a defined situation or opportunity. A digital persona may interact with a universe, which can be a set of conditions and information that an artificial intelligence engine implementing the digital personas can perceive. The digital personas can learn, via the artificial intelligence engine, from actions of a user, events in the universe, other personas, or a multitude of other factors. In some examples discussed, the artificial intelligence engine may include a persona artificial intelligence engine and an evolutionary artificial intelligence engine.

Abstract: In certain embodiments, a purchase option system may include an interface configured to couple to a network, a processor coupled to the interface, and a memory coupled to the processor. The memory may be configured to store instructions that, when executed, cause the processor to provide a graphical interface to a destination device via the interface. The graphical interface can include at least one purchase option of a plurality of purchase options and can include a plurality of selectable options corresponding to each adjustable variable within the plurality of purchase options. The memory may further include instructions that, when executed, cause the processor to receive data corresponding to selection of one of the plurality of selectable options and provide an update to the graphical interface to include at least one different purchase option determined from the plurality of purchase options based on the received data.

Abstract: In certain embodiments, a decision system may allow a user to define a personalized channel based on the user's interests and including associated information. The decision system may subsequently use the personalized channel to determine and present options to the user. In certain embodiments, the decision system may allow the user to share his or her personalized channel with other users and may reward the user when his or her personalized channel is used. Further, the decision system may recommend options for addition to the user's channel.

Abstract: In some embodiments, a system may include a network interface configured to communicate with a network, a processor coupled to the network interface, and a memory coupled to the processor. The instructions, when executed, may cause the processor to automatically grab a selected product on behalf of the user.

Abstract: Systems and methods are disclosed that have and implement persona-based decision assistants and graphical user interfaces. The graphical user interfaces may present a view of one or more decision options and may include one or more user-selectable elements through which a selected decision option may be accessed or modified. In certain embodiments, user selections and similar traveler “look-alikes'” purchase behaviors may be processed to refine a persona corresponding to the search, in parallel to a search occurring and after an initial search result has been presented. In certain embodiments, the graphical user interface may show a subset of possible decision options. In certain embodiments, the graphical user interface may provide a selectable element to modify search, persona, and other preferences.

Abstract: Embodiments of a collective intelligence experience system and method may include a processor and a memory accessible to the processor. The memory may be configured to store instructions that, when executed, cause the processor to provide one or more recommended searches to an interface based on collective information and in response to input data at the interface. In some embodiments, with respect to the one or more recommended searches, the system may provide recommendations, advice, associated data, or any combination thereof. In some embodiments, the collective intelligence experience system may determine a true value of a product, a service, or information based on a context of the request at a point in time.