SYSTEMS AND METHODS FOR TRANSACTIONS RELATED TO ATTENTION-RELATED RESOURCES
Transaction-enabling systems and methods are disclosed. A system may include a controller with an attention market access circuit to interpret a plurality of attention-related resources available on an attention market and an intelligent agent circuit to determine an attention-related resource acquisition value based on a cost parameter of at least one of the plurality of attention-related resources. An attention acquisition circuit may then solicit an attention-related resource in response to the attention-related resource acquisition value
1 . A transaction-enabling system, comprising:
a controller, comprising:
an attention market access circuit structured to interpret a plurality of attention-related resources available on an attention market;
an intelligent agent circuit structured to determine an attention-related resource acquisition value based on a cost parameter of at least one of the plurality of attention-related resources; and
an attention acquisition circuit structured to solicit an attention-related resource in response to the attention-related resource acquisition value.
2 . The system of claim 1 , wherein the attention acquisition circuit is further structured to perform the soliciting the attention-related resource by performing at least one operation selected from the operations consisting of: purchasing the attention-related resource from the attention market; selling the attention-related resource to the attention market; making an offer to sell the attention-related resource to a second intelligent agent; and making an offer to purchase the attention-related resource to the second intelligent agent.
3 . The system of claim 1 , wherein the plurality of attention-related resources comprises at least one resource selected from the list consisting of: an advertising placement; a search listing; a keyword listing; a banner advertisements; a video advertisement; an embedded video advertisement; a panel activity participation; a survey activity participation; a trial activity participation; and a pilot activity placement or participation.
4 . The system of claim 1 , wherein the attention market comprises a spot market for at least one of the plurality of attention-related resources.
5 . The system of claim 4 , wherein the cost parameter of at least one of the plurality of attention-related resources comprises a future predicted cost of the at least one of the plurality of attention-related resources, and wherein the intelligent agent circuit is further structured to determine the attention-related resource acquisition value in response to a comparison of a first cost on the spot market with the cost parameter.
6 . The system of claim 1 , wherein the attention market comprises a forward market for at least one of the plurality of attention-related resources, and wherein the cost parameter of the at least one of the plurality of attention-related resources comprises a predicted future cost.
7 . The system of claim 6 , wherein the cost parameter of at least one of the plurality of attention-related resources comprises a future predicted cost of the at least one of the plurality of attention-related resources, and wherein the intelligent agent circuit is further structured to determine the attention-related resource acquisition value in response to a comparison of a first cost on the forward market with the cost parameter.
8 . The system of claim 1 , wherein the intelligent agent circuit is further structured to determine the attention-related resource acquisition value in response to the cost parameter of the at least one of the plurality of attention-related resources having a value that is outside of an expected cost range for the at least one of the plurality of attention-related resources.
9 . The system of claim 1 , wherein the intelligent agent circuit is further structured to determine the attention-related resource acquisition value in response to a function of:
the cost parameter of the at least one of the plurality of attention-related resources; and
an effectiveness parameter of the at least one of the plurality of attention-related resources.
10 . The system of claim 9 , wherein the controller further comprises an external data circuit structured to interpret a social media data source, and wherein the intelligent agent circuit is further structured to determine, in response to the social media data source, at least one of:
a future predicted cost of the at least one of the plurality of attention-related resources, and to utilize the future predicted cost as the cost parameter; and
the effectiveness parameter of the at least one of the plurality of attention-related resources.
11 . A system, comprising:
a fleet of machines, each one of the fleet of machines comprising:
a task system having a core task and at least one of a compute task or a network task;
a controller, comprising:
an attention market access circuit structured to interpret a plurality of attention-related resources available on an attention market; and
an intelligent agent circuit structured to determine an attention-related resource acquisition value based on a cost parameter of at least one of the plurality of attention-related resources, and further based on the core task for a corresponding machine of the fleet of machines;
an attention purchase aggregating circuit structured to determine an aggregate attention-related resource purchase value in response to the plurality of attention-related resource acquisition values from the intelligent agent circuit corresponding to each machine of the fleet of the machines; and
an attention acquisition circuit structured to purchase an attention-related resource in response to the aggregate attention-related resource purchase value.
12 . The system of claim 11 , wherein the attention purchase aggregating circuit is positioned at a location selected from the locations consisting of: at least partially distributed on a plurality of the controllers corresponding to machines of the fleet of machines; on a selected controller corresponding to one of the machines of the fleet of machines; and on a system controller communicatively coupled to the plurality of the controllers corresponding to machines of the fleet of machines.
13 . The system of claim 11 , wherein the attention purchase acquisition circuit is positioned at a location selected from the locations consisting of: at least partially distributed on a plurality of the controllers corresponding to machines of the fleet of machines; on a selected controller corresponding to one of the machines of the fleet of machines; and on a system controller communicatively coupled to the plurality of the controllers corresponding to machines of the fleet of machines.
14 . A method, comprising:
interpreting a plurality of attention-related resources available on an attention market;
determining an attention-related resource acquisition value based on a cost parameter of at least one of the plurality of attention-related resources; and
soliciting an attention-related resource in response to the attention-related resource acquisition value.
15 . The method of claim 14 , further comprising performing the soliciting the attention-related resource by performing at least one operation selected from the operations consisting of: purchasing the attention-related resource from the attention market; selling the attention-related resource to the attention market; making an offer to sell the attention-related resource to a second intelligent agent; and making an offer to purchase the attention-related resource to the second intelligent agent.
16 . The method of claim 14 , wherein the cost parameter of at least one of the plurality of attention-related resources comprises a future predicted cost of the at least one of the plurality of attention-related resources, the method further comprising determining the attention-related resource acquisition value in response to a comparison of a first cost on a spot market with the cost parameter.
17 . The method of claim 14 , further comprising interpreting a social media data source and determining, in response to the social media data source, at least one of:
a future predicted cost of the at least one of the plurality of attention-related resources, and to utilize the future predicted cost as the cost parameter; and
an effectiveness parameter of the at least one of the plurality of attention-related resources; and
wherein the determining the attention-related resource acquisition value is further based on the at least one of the future predicted cost or the effectiveness parameter.
18 . A method, comprising:
interpreting a plurality of attention-related resources available on an attention market;
determining an attention-related resource acquisition value for each machine of a fleet of machines based on a cost parameter of at least one of the plurality of attention-related resources, and further based on a core task for each of a corresponding machine of the fleet of machines;
determining an aggregate attention-related resource purchase value in response to the plurality of attention-related resource acquisition values corresponding to each machine of the fleet of the machines; and
purchasing an attention-related resource in response to the aggregate attention-related resource purchase value.
19 . The method of claim 18 , wherein the cost parameter of at least one of the plurality of attention-related resources comprises a future predicted cost of the at least one of the plurality of attention-related resources, the method further comprising determining each attention-related resource acquisition value in response to a comparison of a first cost on a spot market for attention-related resources with the cost parameter.
20 . The method of claim 18 , further comprising interpreting a social media data source and determining, in response to the social media data source, at least one of:
a future predicted cost of the at least one of the plurality of attention-related resources, and to utilize the future predicted cost as the cost parameter; and
an effectiveness parameter of the at least one of the plurality of attention-related resources; and
wherein the determining the attention-related resource acquisition value is further based on the at least one of the future predicted cost or the effectiveness parameter.