Systerns and methods for integrating a gaining engine and a smart contract system in a platform are provided. The gaming engine is programmed with a software development environment and an architecture that provides a set of gaming engine services with predefined tools for digital content developers to create a set of game engine generated environments. The smart contract system programmed with smart contract services associated with transactions that are based on electronically verifiable conditions. The integration platform is programmed with an execution framework that is cornmon to the gaming engine and to the smart contract system to integrate the smart contract services with at least one of the gaming engine and the set of game engine generated environments.
A63F 13/00 - Video games, i.e. games using an electronically generated display having two or more dimensions
G06Q 20/06 - Private payment circuits, e.g. involving electronic currency used only among participants of a common payment scheme
G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
G06Q 30/06 - Buying, selling or leasing transactions
G06Q 40/02 - Banking, e.g. interest calculation or account maintenance
G06F 9/451 - Execution arrangements for user interfaces
G16H 40/00 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Systems, methods and apparatus relating to asset based tokens are described. An example apparatus may include a tokenization controller to implement a tokenization user interface where the tokenization controller includes a token definition circuit to interpret a token description in response to user operations. The example apparatus may further include an asset definition circuit to interpret an asset class description in response to user operations and an asset backing circuit to interpret a token link description including a token performance representation corresponding to a beneficial characteristic of at least one asset of the asset class description, and to generate at least one asset class linked token in response to the token link description and the asset class description. The example apparatus may further include a token deployment circuit to expose the at least one asset class linked token to a token marketplace system.
Systems and methods for configuring and launching a marketplace are described. A method may include identifying an opportunity for a new marketplace, receiving marketplace opportunity data, determining configuration parameters, and determining a feasibility of implementing the new marketplace configuration. An architecture of the new marketplace may be determined, and marketplace objects configured. Data resources and their configuration in a model may be determined and the data resources connected to marketplace objects. The new marketplace may then be launched.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
4.
SYSTEMS AND METHODS FOR CONTROLLING RIGHTS RELATED TO DIGITAL KNOWLEDGE
Systems and methods for controlling rights related to digital knowledge are disclosed. A sample system may include an input system to receive digital knowledge from a user, a tokenization system to tokenize the digital knowledge and a ledger management system to create, manage, and store things on a distributed ledger and provide provable access to the digital knowledge. A smart contract system may create a smart contract including triggering action is and respond with a defined smart contract action on an occurrence of the triggering event. The smart contract system may also process commitments to the smart contract.
B33Y 50/02 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
B29C 64/393 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
5.
ARTIFICIAL INTELLIGENCE SELECTION AND CONFIGURATION
A system includes an opportunity mining module structured to receive input regarding an attribute of a task or a domain, and process the input to determine if an artificial intelligence system can be applied to the task or the domain, an artificial intelligence search engine structured to receive the input, and perform a search of an artificial intelligence store of a plurality of domain-specific and general artificial intelligence models and model components using the input and/or at least one selection criteria to identify at least one artificial intelligence model or model component to apply to the task or the domain, and an artificial intelligence configuration module structured to configure one or more data inputs to use with the at least one artificial intelligence model or model component.
Systems, methods, and apparatus for automated execution of loan based activities are disclosed herein. An example system may include a blockchain service circuit to interpret access control features corresponding to parties associated with a loan; a data collection circuit to interpret entity information; a smart contract circuit to specify loan terms and conditions; and a loan management circuit. The loan management circuit may interpret loan related events and implement loan related activities in response to the entity information, the plurality of access control features, and the loan terms and conditions. Each of the blockchain service circuit, the data collection circuit, the smart contract circuit, and the loan management circuit further include a corresponding application programming interface (API) component to facilitate communication among the circuits of the system.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
METHODS AND SYSTEMS FOR IMPROVING MACHINES AND SYSTEMS THAT AUTOMATE EXECUTION OF DISTRIBUTED LEDGER AND OTHER TRANSACTIONS IN SPOT AND FORWARD MARKETS FOR ENERGY, COMPUTE, STORAGE AND OTHER RESOURCES
Systems, methods and apparatus for improving machines and systems that automate execution of distributed ledger and other transactions in spot and forward markets for energy, compute, storage and other resources are disclosed herein. An example system may include a robotic process automation circuit to interpret information from a plurality of data sources, and to interface with a plurality of management applications. The plurality of management applications may each be associated with a separate one of a plurality of financial entities. The robotic process automation circuit may also include an artificial intelligence circuit to improve a process of at least one of the plurality of management applications in response to the information from the plurality of data sources.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
G06Q 40/00 - Finance; Insurance; Tax strategies; Processing of corporate or income taxes
8.
METHODS AND SYSTEMS FOR IMPROVING MACHINES AND SYSTEMS THAT AUTOMATE EXECUTION OF DISTRIBUTED LEDGER AND OTHER TRANSACTIONS IN SPOT AND FORWARD MARKETS FOR ENERGY, COMPUTE, STORAGE AND OTHER RESOURCES
A transaction-enabling system includes a production facility having a core task that is a production task. The system includes a controller having a facility description circuit that interprets a number of historical facility parameter values and a corresponding number of historical facility outcome values, and a facility prediction circuit that operates an adaptive learning system, where the adaptive learning system is configured to train a facility production predictor in response to the plurality of facility parameter values and the corresponding plurality of facility outcome values. The facility description circuit further interprets a number of present state facility parameter values, and the facility prediction circuit further operates the adaptive learning system to predict a present state facility outcome value in response to the number of present state facility parameter values.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
G06Q 20/06 - Private payment circuits, e.g. involving electronic currency used only among participants of a common payment scheme
G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
G06Q 30/06 - Buying, selling or leasing transactions
G06Q 40/04 - Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
patents
