A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.

A method of optimizing rider satisfaction includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as indicative of an effect on a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, at least one aspect of rider satisfaction affected by an effect on the transportation system derived from the social media data classified as indicative of an effect on the transportation system. The method still further includes optimizing, using a third neural network of the hybrid neural network, the at least one aspect of rider satisfaction for at least one rider occupying a vehicle in the transportation system.

Various embodiments are generally directed to providing a digital negotiation platform. An agent executing on a processor may programmatically negotiate parameters for an agreement based on rules and/or computing models. The agent may generate a smart contract comprising a transcript of communications and executable code operable to enforce the parameters. The smart contract may be stored in a blockchain.

A service computing device is provided for efficiently authenticating, verifying, and distributing subtasks or microtasks in a peer-to-peer network or distributed network. Also provided are computing devices with varying capabilities with respect to the performance of such tasks, such that enhancing efficiency in the authentication, verification, and/or distribution may enhance device efficiency and/or overall network efficiency. Processors or processor elements many be configured with differing capabilities to perform various types of the subtasks or microtasks such that proper distribution of such subtasks and microtasks may be required for completion of a complex task with enhanced efficiency. Probabilistic authentication or classification-based verification may be employed by the service computing device in performing its functions.

A method for providing unequal allocation of rights among agents while operating according to fair principles, comprising assigning a hierarchal rank to each agent; providing a synthetic economic value to a first set of agents at the a high level of the hierarchy; allocating portions of the synthetic economic value by the first set of agents to a second set of agents at respectively different hierarchal rank than the first set of agents; and conducting an auction amongst agents using the synthetic economic value as the currency. A method for allocation among agents, comprising assigning a wealth generation function for generating future wealth to each of a plurality of agents, communicating subjective market information between agents, and transferring wealth generated by the secure wealth generation function between agents in consideration of a market transaction. The method may further comprise the step of transferring at least a portion of the wealth generation function between agents.

A protocol-based system and method for establishing a multi-party contract are disclosed. In a method conducted at a computing device associated with an entity, a set of contract data elements relating to a contract to be established is received from either one of another entity or a deal negotiation component associated with the entity. The contract data elements are validated using an associated contract schema and a schema-based validation algorithm. If the contract data elements are valid, the contract data elements are transmitted to the other of the deal negotiation component or another entity. Transmitting the contract data elements to another entity includes generating a digital signature associated with the contract data elements by digitally signing the contract data elements or a representation thereof and transmitting the digital signature and either of the contract data elements or the representation thereof to the other entity.

Embodiments described herein provide a user interface for interacting with a smart contract deployed to a blockchain. The user interface is custom-generated for each party to the smart contract. In particular, representations of actions that a particular party is enabled to perform and/or has already taken with respect to the smart contract are provided to that party via a user interface. A user experience generator queries the smart contract itself to determine which representations are to be provided to each party. The smart contract comprises functions and/or user experience annotations that indicate to the user experience generator which user interface representations should be provided to a particular user based on the party identity and/or the smart contract's state. The smart contract provides an event notification to the user experience generator, which prompts the user experience generator to query the smart contract to determine the allowed actions for a particular user.

Certain embodiments of the disclosure can include methods and systems for electronic contracts. The embodiments can include defining and populating the terms of a contract. The embodiments can include identifying the services and/or goods contemplated by the contract. The identification of the services and goods can be determined by the prospective consumers, or the prospective providers, of the goods and services, or both. The creation of the contract, modification of its terms, and additions and deletions of any pertinent information, including the attached parties, can be stored in a blockchain structure. The ultimate viability of a contract can then be determined based on the terms and other pertinent information.

This disclosure relates generally to method and system for performing negotiation task using reinforcement learning agents. Performing negotiation on a task is a complex decision making process and to arrive at consensus on contents of a negotiation task is often expensive and time consuming due to the negotiation terms and the negotiation parties involved. The proposed technique trains reinforcement learning agents such as negotiating agent and an opposition agent. These agents are capable of performing the negotiation task on a plurality of clauses to agree on common terms between the agents involved. The system provides modelling of a selector agent on a plurality of behavioral models of a negotiating agent and the opposition agent to negotiate against each other and provides a reward signal based on the performance. This selector agent emulate human behavior provides scalability on selecting an optimal contract proposal during the performance of the negotiation task.

Embodiments described herein are configured to generate a smart contract deployed to a distributed ledger platform. In particular, a first party and a second party negotiate the terms of an engagement, jointly choose a mediator from those available on a social networking platform, and choose a smart contract template, and a user interface is thereafter presented to the parties for inclusion of negotiable elements. Upon agreement, a smart contract is thereafter generated and deployed to a smart contract platform such as, for example, a blockchain. Embodiments permit escrow of funds to the smart contract platform. Embodiments of the smart contract enable the parties to indicate completion or take other actions with respect to the engagement, or to initiate a dispute in which case, a chosen mediator is thereafter enabled by the smart contract to mediate the dispute through one or more smart contract actions made available to the mediator.