Peer-reviewed papers and Publications

The following list contains Fetch's employees research output that has been peer reviewed or are under review

Peer-Reviewed Papers

2021 | 2020 | 2019

Robust Subgroup Multi-Signatures for Consensus

David Galindo, Jia Liu

Read

Peer-to-peer Autonomous Agent Communication Network

Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems

Lokman Rahmani, David Minarsch, Jonathan Ward

Read

Transaction Pricing for Maximizing Throughput in a Sharded Blockchain Ledger

2020 Crypto Valley Conference - Economic and Financial Track

James Riehl and Jonathan Ward

Video

Autonomous Economic Agents as a Second Layer Technology for Blockchains: Framework Introduction and Use-case Demonstration

2020 Crypto Valley Conference - Economic and Financial Track

David Minarsch, Seyed Ali Hosseini, Marco Favorito and Jonathan Ward

Video

Trading Agent Competition with Autonomous Economic Agents

19th International Conference on Autonomous Agents and Multiagent Systems

David Minarsch, Marco Favorito, Ali Hosseini, Jonathan Ward

Read Video

Deep Reinforcement Learning for Strategic Bidding in Electricity Markets

IEEE Trans. Smart Grid 11(2): 1343-1355 (2020)

Yujian Ye, Dawei Qiu, Mingyang Sun, Dimitrios Papadaskalopoulos and Goran Strbac

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Model-Free Real-Time Autonomous Control for A Residential Multi-Energy System Using Deep Reinforcement Learning

IEEE Transactions on Smart Grid

Yujian Ye, Dawei Qiu, Xiaodong Wu, Goran Strbac and Jonathan Ward

Read

Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach

9th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020)

Yujian Ye, Dawei Qiu, Jonathan Ward and Marcin Abram

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Fully Distributed Verifiable Random Functions and their Application to Decentralised Random Beacons

David Galindo, Jia Liu, Mihai Ordean and Jin-Mann Wong

Read

Why Do Public Blockchains Need Formal and Effective Internal Governance Mechanisms?

European Journal of Risk Regulation, Cambridge University Press. Volume 10 Issue 2 pp. 359-375

David Galindo and Karen Yeung

Read

Auditable Credential Anonymity Revocation Based on Privacy-Preserving Smart Contracts

Data Privacy Management, Cryptocurrencies and Blockchain Technology, ESORICS 2019, LNCS volume 11737, pp. 355-371

David Galindo, Rujia Li and Qi Wang

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Democratising blockchain: A minimal agency consensus model

Tokenomics 2019,1st International Conference on Blockchain Economics, Security and Protocols

Marcin Abram, Daniel Honerkamp, Jonathan Ward, Jin-Mann Wong

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Multi-Period and Multi-Spatial Equilibrium Analysis in Imperfect Electricity Markets: A Novel Multi-Agent Deep Reinforcement Learning Approach

IEEE Access 7: 130515-130529

Yujian Ye, Dawei Qiu, Jing Li and Goran Strbac

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Peer-to-Peer Negotiation for Optimising Journeys of Electric Vehicles on a Tour of Europe

18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2019

Seyed Ali Hosseini, Diarmid Campbell, Marco Favorito and Jonathan Ward

Read

Publications

Peer-to-peer Autonomous Agent Communication Network

A Practical Framework for General Dialogue-based Bilateral Interactions

Autonomous Economic Agent Framework

Real Time Autonomous Energy

English 中文日本人 한국어 русский French Español Português

Fetch.ai: Token Overview

Whitepaper - The Evolution and Design of Digital Economies

Yellowpaper - Design of a Scalable Distributed Ledger

Fetch.ai: Smart Ledger Paper

Yellowpaper: A Minimal Agency Scheme for PoS Consensus

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