Machine learning systems and methods for facilitating parcel combination

Abstract

Machine learning systems and methods are described in regard to automating and acting upon evaluations of hypothetical assemblages of adjacent land parcels so as to allow a developer, owner, or other investor to see and act upon potential land uses that are not reflected in conventional valuations. Some variants include a feature augmentation protocol for speciating one or more detailed structures feasible for an assemblage, a pattern matching protocol for identifying viable assemblages that might suit a developer's requirements or implementing numerous simultaneous offers to numerous potential sellers whose decisions might affect project viability.

1 - 7 . (canceled) 
     
     
         8 . A pattern matching method for facilitating multi-parcel development, comprising:
 invoking first transistor-based circuitry configured to obtain an identification of first and second parcel assemblages wherein said first parcel assemblage includes a first parcel adjacent said particular parcel in combination with said particular parcel, wherein said second parcel assemblage likewise includes a second parcel adjacent said particular parcel in combination with said particular parcel, and wherein one or more records signal that said particular parcel is not commonly owned with said first parcel or with said second parcel;   invoking second transistor-based circuitry configured to obtain first and second building models of said first parcel assemblage each based on a respective application of first and second speciation protocols to a first multi-parcel-assemblage-specific seeding configuration associated with said first parcel assemblage;   invoking third transistor-based circuitry configured to obtain first and second building models of said second parcel assemblage each based on a respective application of first and second speciation protocols to a first multi-parcel-assemblage-specific seeding configuration associated with said second parcel assemblage;   invoking fourth transistor-based circuitry configured to cause said first building model of said first parcel assemblage to be prioritized over said second building model of said first parcel assemblage and to be presented to a user of a visual display in lieu of said second building model based on a programmatic scoring protocol;   causing a numerous additional parcel assemblages to be depicted all via a single display screen all within a ten-minute period wherein each of said numerous additional parcel assemblages links a corresponding parcel to at least one corresponding adjacent parcel with which said corresponding parcel is adjacent and wherein said corresponding parcels include said particular parcel; and   causing a first digital resource to be offered simultaneously for many of said numerous additional parcel assemblages on a first-come first-served basis so that one or more options presented in regard to some of said many additional parcel assemblages are withdrawn as an automatic and conditional instantaneous response to said first digital resource being claimed in association with said particular parcel.   
     
     
         9 - 12 . (canceled) 
     
     
         13 . The pattern matching method of  claim 8  comprising:
 triggering a supervised-learning-type protocol that includes pairing first input data that includes said first parcel assemblage with a corresponding indication of user preference pertaining to said user of said visual display wherein said supervised-learning-type protocol includes pairing numerous vector-valued input objects each to a corresponding output value using one or more user-provided inductive biases and wherein said numerous vector-valued input objects include said first input data. 
 
     
     
         14 . The pattern matching method of  claim 8  comprising:
 invoking fifth transistor-based circuitry configured to cause said first building model of an other parcel assemblage to be prioritized over said first and second parcel assemblages and to displace said first or second parcel assemblage partly based on said programmatic scoring protocol and partly based on a first preference-indicative action of said user of said visual display as a contemporaneous response to said first preference-indicative action of said user signaling interest in said particular parcel. 
 
     
     
         15 . The pattern matching method of  claim 8  comprising:
 triggering a pattern-matching-type protocol that determines a selective first inclusion of said first parcel assemblage in a geographical map; and 
 triggering a feature augmentation protocol that includes obtaining an other building model by gleaning a user-provided inductive bias manifesting a first inferred preference for a first speciation protocol, generating said other building model using said first speciation protocol in lieu of said second speciation protocol, and displaying said other building model simultaneously with said first building model. 
 
     
     
         16 . The pattern matching method of  claim 8  comprising:
 triggering a pattern matching protocol that determines a selective first inclusion of said first parcel assemblage and a selective exclusion of one or more other parcel assemblages within 5 kilometers of said first parcel assemblage both based on an application of said first and second speciation protocols to said first multi-parcel-assemblage-specific seeding configuration associated with said first parcel assemblage wherein said first speciation protocol comprises a multi-building model algorithm and wherein seeding for said multi-building model algorithm comprises a repeatable designation of said particular parcel together with a repeatable designation of said first parcel adjacent said particular parcel as said first multi-parcel-assemblage-specific seeding configuration associated with said first parcel assemblage. 
 
     
     
         17 . The pattern matching method of  claim 8  comprising:
 triggering a pattern matching protocol that determines a selective first inclusion of said first parcel assemblage and a selective exclusion of one or more other parcel assemblages within 5 kilometers of said first parcel assemblage both partly based on said application of said first and second speciation protocols to said first multi-parcel-assemblage-specific seeding configuration associated with said first parcel assemblage and partly based on an application of said first and second speciation protocol to said first multi-parcel-assemblage-specific seeding configuration associated with said one or more other parcel assemblages wherein said second speciation protocol comprises a single shelter algorithm and wherein seeding for said single shelter algorithm comprises a repeatable designation of said particular parcel together with a repeatable designation of said second parcel adjacent said particular parcel as said first multi-parcel-assemblage-specific seeding configuration associated with said second parcel assemblage. 
 
     
     
         18 . The pattern matching method of  claim 8  comprising:
 extracting one or more pattern definition terms as user input for use in a first pattern matching protocol that determines a selective first inclusion of said first parcel assemblage in a geographical map of a region that includes said many additional parcel assemblages and numerous building models, wherein said numerous building models include said first building model of said first parcel assemblage; 
 triggering a supervised learning protocol that includes pairing numerous vector-valued input objects each to a corresponding desired output value using one or more user-provided inductive biases, wherein said numerous vector-valued input objects include a first vector-valued input object corresponding to said first parcel assemblage; and 
 triggering a feature augmentation protocol that includes an application of said first and second speciation protocols to said first multi-parcel-assemblage-specific seeding configuration associated with said first parcel assemblage. 
 
     
     
         19 . The pattern matching method of  claim 8  wherein said first digital resource is thereby offered simultaneously for said many additional parcel assemblages via one or more smart contracts on said first-come first-served basis so that said one or more options presented in regard to said some of said additional parcel assemblages are withdrawn via said one or more smart contracts as said automatic and conditional instantaneous response to said first digital resource being claimed in association with said particular parcel and wherein said first digital resource being claimed is manifested by signaling one or more cryptographically secured digital wallets and one or more mining rigs that comprise proof-of-work blockchain node devices both. 
     
     
         20 . The pattern matching method of  claim 8  comprising:
 triggering a pattern matching protocol that determines a selective first inclusion of said first parcel assemblage in a geographical map of a first region as an inventory that excludes one or more others in said region that were not matching; and 
 causing a first digital resource to be offered simultaneously for many of said additional parcel assemblages on a first-come first-served basis so that one or more options presented in regard to some of said additional parcel assemblages are withdrawn as an automatic and conditional instantaneous response to said first digital resource being claimed in association with said particular parcel. 
 
     
     
         21 . The pattern matching method of  claim 8  comprising:
 triggering a feature-augmentation-type protocol that includes obtaining an other building model by gleaning a user-provided inductive bias manifesting a first inferred preference for said first speciation protocol, generating said other building model using said first speciation protocol in lieu of said second speciation protocol, and displaying said other building model simultaneously with said first building model; wherein said method combines a supervised learning protocol with a pattern matching protocol. 
 
     
     
         22 . The pattern matching method of  claim 8  comprising:
 invoking fifth transistor-based circuitry configured to cause said first building model of said first parcel assemblage to be prioritized over said second building model of said first parcel assemblage and to be presented automatically to said user of said visual display in lieu of said second building model based on said programmatic scoring protocol. 
 
     
     
         23 . The pattern matching method of  claim 8  comprising:
 applying one or more deterministically repeatable speciation protocols comprising said first and second speciation protocols respectively to said first multi-parcel-assemblage-specific seeding configuration associated with said first and second parcel assemblages; and 
 implementing said programmatic scoring protocol to include a determination of one or more machine-learning-based parcel assemblage valuations as components thereof. 
 
     
     
         24 . The pattern matching method of  claim 8  comprising:
 implementing said programmatic scoring protocol to include a determination of one or more machine-learning-based ranks or scores (or both) as components of said programmatic scoring protocol. 
 
     
     
         25 . The pattern matching method of  claim 8  comprising:
 causing a geographically dispersed collection of numerous additional parcel assemblages to be depicted all via a single display screen all within a ten-minute period wherein each of said additional parcel assemblages links a corresponding parcel to at least one corresponding adjacent parcel with which said corresponding parcel is adjacent and wherein more than half of said numerous additional parcel assemblages are separated from said other additional parcel assemblages by more than 100 meters. 
 
     
     
         26 . The pattern matching method of  claim 8  comprising:
 invoking transistor-based circuitry configured to obtain first and second building models of a third parcel assemblage based on an application of said one or more other speciation protocols to a first multi-parcel-assemblage-specific seeding configuration associated with said third parcel assemblage; 
 invoking transistor-based circuitry configured to cause said first building model of said third parcel assemblage to be prioritized over said one or more building models of said first and second parcel assemblages, and to be signaled to said user of said visual display at least partly based on a programmatic scoring protocol and partly based on another digital resource having been claimed in association with one or more parcels of said third parcel assemblage; and 
 applying one or more deterministically repeatable speciation protocols respectively to said first multi-parcel-assemblage-specific seeding configuration associated with said first and second parcel assemblages by causing a recordation of one or more parameters thereof on a public blockchain. 
 
     
     
         27 . The pattern matching method of  claim 8  wherein said first and second parcel assemblages are automatically included in an inventory as an automatic and conditional response to information in said one or more records indicating that at least said first and second parcels are not commonly owned with one another. 
     
     
         28 . A pattern matching method for facilitating multi-parcel development, comprising:
 invoking first transistor-based circuitry configured to obtain an identification of first and second parcel assemblages wherein said first parcel assemblage includes a first parcel adjacent said particular parcel in combination with said particular parcel, wherein said second parcel assemblage likewise includes a second parcel adjacent said particular parcel in combination with said particular parcel, and wherein one or more records signal that said particular parcel is not commonly owned with said first parcel or with said second parcel;   invoking second transistor-based circuitry configured to obtain first and second building models of said first parcel assemblage each based on a respective application of first and second speciation protocols to a first multi-parcel-assemblage-specific seeding configuration associated with said first parcel assemblage;   invoking third transistor-based circuitry configured to obtain first and second building models of said second parcel assemblage each based on a respective application of first and second speciation protocols to a first multi-parcel-assemblage-specific seeding configuration associated with said second parcel assemblage; and   invoking fourth transistor-based circuitry configured to cause said first building model of said first parcel assemblage (1) to be prioritized over said second building model of said first parcel assemblage and (2) to be presented to a user of a visual display in lieu of said second building model both based on a programmatic scoring protocol whereby said first and second building models of said first parcel assemblage both become automatically generated and ranked alternative species encompassing said particular parcel.   
     
     
         29 . The pattern matching method of  claim 28  comprising
 causing a first digital resource to be offered simultaneously for many additional parcel assemblages via one or more smart contracts on a first-come first-served basis so that one or more options presented in regard to some of said many additional parcel assemblages are withdrawn via said one or more smart contracts as an automatic and conditional instantaneous response to said first digital resource being claimed in association with said particular parcel, wherein said first digital resource being claimed is manifested by signaling one or more blockchain nodes and one or more cryptographically secured digital wallets both and wherein said one or more blockchain nodes comprise one or more mining rigs configured as proof-of-work blockchain node devices. 
 
     
     
         30 . The pattern matching method of  claim 28  comprising
 causing a first digital resource to be offered simultaneously for additional parcel assemblages via one or more smart contracts on a first-come first-served basis so that one or more options presented in regard to some of said additional parcel assemblages are withdrawn via said one or more smart contracts as an automatic and conditional instantaneous response to said first digital resource being claimed in association with said particular parcel, wherein said first digital resource being claimed is manifested by signaling one or more blockchain nodes and one or more cryptographically secured digital wallets both. 
 
     
     
         31 . A pattern matching system for facilitating multi-parcel development, comprising:
 first transistor-based circuitry configured to obtain an identification of first and second parcel assemblages wherein said first parcel assemblage includes a first parcel adjacent said particular parcel in combination with said particular parcel, wherein said second parcel assemblage likewise includes a second parcel adjacent said particular parcel in combination with said particular parcel, and wherein one or more records signal that said particular parcel is not commonly owned with said first parcel or with said second parcel;   second transistor-based circuitry configured to obtain first and second building models of said first parcel assemblage each based on a respective application of first and second speciation protocols to a first multi-parcel-assemblage-specific seeding configuration associated with said first parcel assemblage;   third transistor-based circuitry configured to obtain first and second building models of said second parcel assemblage each based on a respective application of first and second speciation protocols to a first multi-parcel-assemblage-specific seeding configuration associated with said second parcel assemblage; and   fourth transistor-based circuitry configured to cause said first building model of said first parcel assemblage (1) to be prioritized over said second building model of said first parcel assemblage and (2) to be presented to a user of a visual display in lieu of said second building model both based on a programmatic scoring protocol whereby said first and second building models of said first parcel assemblage both become automatically generated and ranked alternative species encompassing said particular parcel.