Visible to the public I Can Get Some Satisfaction: Fuzzy Ontologies for Partial Agreements in Blockchain Smart Contracts

TitleI Can Get Some Satisfaction: Fuzzy Ontologies for Partial Agreements in Blockchain Smart Contracts
Publication TypeConference Paper
Year of Publication2020
AuthorsHuitzil, I., Fuentemilla, Á, Bobillo, F.
Conference Name2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Date Publishedjul
Keywordsbest satisfiability degree, blockchain, blockchain smart contracts, blockchain systems, Cognition, contracts, cryptocurrencies, cryptography, Ethereum blockchain, Fuzzy Cryptography, fuzzy ontologies, fuzzy ontology reasoning task, fuzzy reasoning, fuzzy set theory, Fuzzy sets, inference mechanisms, Metrics, Ontologies, ontologies (artificial intelligence), Pareto optimisation, Pareto-optimal solutions, partial agreement, pubcrawl, Resiliency, Scalability, Semantics, smart contracts, Task Analysis
AbstractThis paper proposes a novel extension of blockchain systems with fuzzy ontologies. The main advantage is to let the users have flexible restrictions, represented using fuzzy sets, and to develop smart contracts where there is a partial agreement among the involved parts. We propose a general architecture based on four fuzzy ontologies and a process to develop and run the smart contracts, based on a reduction to a well-known fuzzy ontology reasoning task (Best Satisfiability Degree). We also investigate different operators to compute Pareto-optimal solutions and implement our approach in the Ethereum blockchain.
DOI10.1109/FUZZ48607.2020.9177732
Citation Keyhuitzil_i_2020