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: 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: In some embodiments, systems and methods may include receiving feedback corresponding to one or more purchase options from a device. The feedback may include an indication of a purchase option or options perceived to be better by a particular consumer and an explanation of why the option or options is better. The systems and methods may include verifying the feedback, communicating the feedback to one or more suppliers or to the seller's yield management system to obtain competing offers, and communicating data to the device. In some embodiments, the data may include comments related to the “better” option, other information, competing offers, or any combination thereof.

Abstract: In some embodiments, a system may include an interface configured to communicate with a device through a network. The system may further include an artificial intelligence engine configured to identify information corresponding to at least one of a potential renter and a first rental property and assess and value the information based on a context from which the information is identified. The artificial intelligence engine may also determine a recommendation corresponding to the renter or the rental property and may provide an interface to the device including the recommendation and a justification for the recommendation. In some embodiments, the system may automatically negotiate on behalf of one of the potential renter and the property owner and may selectively initiate communications between the potential renter and the property owner.

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.