Title | I Can Get Some Satisfaction: Fuzzy Ontologies for Partial Agreements in Blockchain Smart Contracts |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Huitzil, I., Fuentemilla, Á, Bobillo, F. |
Conference Name | 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
Date Published | jul |
Keywords | best 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 |
Abstract | This 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. |
DOI | 10.1109/FUZZ48607.2020.9177732 |
Citation Key | huitzil_i_2020 |