Cognitive Platforms and Hybrid Blockchain Data Architectures

Key Glossary

Term Definitions Cognitive Application Cloud-based, large-scale data interpretation applications that learn from user engagement and data interaction. Cognitive Insight Information of value to users, generated by cognitive applications. Blockchain A decentralized, distributed database whose contents are replicated across multiple systems. Public Blockchain A blockchain that can be read or written by anyone, also known as a "permissionless" blockchain. Private Blockchain A blockchain whose participants are known and have been granted read and write permissions by an authority that governs the use of the blockchain. Blockchain Data Any data associated with a given blockchain, whether related to its overall data structure or its individual elements, individual data elements it may contain, or its associated metadata. Blockchain-associated cognitive insight Cognitive insight generated at least in part by using blockchain data, or provided in the form of blockchain transactions. Smart Contract Executable computer code configured to generate instructions in a downstream process if certain conditions are met. General Knowledge Base A collection of knowledge elements that can be used to generate one or more cognitive insights in various embodiments. Cognitive Learning Operation An operation that uses cognitive learning techniques to generate cognitive learning results. Cognitive Learning Style A generalized learning approach implemented by CILS to perform cognitive learning operations. Cognitive Learning Categories Broadly defined learning methods implemented by CILS to perform cognitive learning operations. Cognitive Learning Techniques use cognitive learning styles in combination with cognitive learning categories to perform cognitive learning operations. Cognitive Identity Management Modules Modules for creating, modifying, appending, deleting, and otherwise managing cognitive personas and cognitive profiles associated with one or more users. Cognitive personas represent archetypal user models of a set of common attributes associated with a hypothetical group of users. Cognitive Profiles Instances of cognitive personas that reference personal data associated with a specific user. Short Answer Questions

What is dark data, and how does it relate to cognitive applications?

Dark data refers to overlooked information, environmental signals, and insights that can help organizations and individuals enhance intelligence and provide actionable insights through the implementation of cognitive applications. Cognitive applications can extract patterns and insights from dark data sources, which are currently almost completely opaque.

List and describe at least five analytical functions that cognitive applications mentioned in the patent can perform.

Semantic Analysis: Extracting the meaning and context of text, such as identifying sentiment associated with a predetermined target item.

Goal Optimization: Performing multi-criteria decision operations to achieve a given goal or objective.

Collaborative filtering: recommending products or services based on the preferences of other similar users.

Common sense reasoning: emulating the human ability to reason based on common sense that they inherently know.

Natural language processing: enabling computers to understand and process human language.

How do cognitive applications use environmental signals?

Cognitive applications leverage environmental signals from users and data to understand user intent, content, context, and meaning to drive goal-driven conversations and outcomes.

What are the main differences between public and private blockchains?

Public blockchains are permissionless, and anyone can join the network, read data, write data, or verify transactions. Private blockchains, on the other hand, are permissioned, and participants need to be authorized to access the network.

What are blockchain-associated cognitive insights?

Blockchain-associated cognitive insights are cognitive insights generated using blockchain data or provided in the form of blockchain transactions.

What role can smart contracts play in blockchain-associated cognitive insights?

Smart contracts can be embedded in blockchain transactions and used to automatically execute agreements. In blockchain-associated cognitive insights, smart contracts can be used to trigger certain actions based on the content of the cognitive insights, such as automatic payments or sending notifications.

Explain the role of a general knowledge base in generating cognitive insights.

A general knowledge base contains various knowledge elements, such as facts, information, descriptions, and skills, which can be used to generate more accurate and relevant cognitive insights.

List and describe three cognitive learning styles.

Declarative cognitive learning style: Learning using declarative data, such as facts or assertions.

Observational cognitive learning style: Learning by identifying patterns and concepts in data.

Inferential cognitive learning style: Learning by inferring new knowledge based on existing knowledge and observed data.

How are cognitive personas useful in generating personalized blockchain-related cognitive insights?

A cognitive persona is a prototypical user model that represents a group of users with common characteristics and can be used to tailor blockchain-related cognitive insights to the specific needs and preferences of the user.

How can cognitive profiles be used to enhance the blockchain-related cognitive insights provided by cognitive applications?

A cognitive profile is an instance of a cognitive persona that contains data related to a specific user, such as their interests, preferences, and past interactions. By leveraging this information, cognitive applications can provide more personalized and relevant blockchain-related cognitive insights.