scholarly journals Grex: A Decentralized Hive Mind

Ledger ◽  
2019 ◽  
Author(s):  
Alex Khawalid ◽  
Dan Acristinii ◽  
Hans Van Toor ◽  
Eduardo Castelló Ferrer

Swarm Robotics (SR) faces a series of challenges impeding widespread adoption for real-world applications. Distributed Ledger Technology (DLT) has shown it can solve a number of these challenges. An experiment was conducted to showcase the resolution of these challenges. A search and rescue mission was simulated using drones coupled with single board computers and several simulated agents. Inter-agent communications were facilitated through DLT in a completely decentralized network. A frontend interface was built to demonstrate the ease with which information can be extracted from the system. This paper shows the feasibility of the application of DLT to SR-related challenges in a practical experiment. For future work, it is proposed to focus on more complex tasks through federated learning or inter-swarm communications, possibly through Cosmos.

2020 ◽  
Vol 25 ◽  
Author(s):  
D. Popovic ◽  
C. Avis ◽  
M. Byrne ◽  
C. Cheung ◽  
M. Donovan ◽  
...  

Abstract Insurance industry practitioners have deep knowledge of their industry, but there is a lack of a simple-to-understand, practical blueprint on applying distributed ledger technology solutions, including blockchain. This paper provides a practical guide for actuaries, risk professionals, insurance companies and their Boards on blockchain, including an education piece to provide an understanding of the technology. Examples of real-world applications and use cases in insurance are provided to illustrate the capability of the technology. The current risks and challenges in adopting the technology are also considered. Finally, a checklist of issues to consider in adopting a blockchain solution for insurance business problems is provided.


2017 ◽  
Vol 19 (7) ◽  
pp. e274 ◽  
Author(s):  
Jessica Andriesen ◽  
Sheana Bull ◽  
Janan Dietrich ◽  
Jessica E Haberer ◽  
Barbara Van Der Pol ◽  
...  

2021 ◽  
pp. 9-27
Author(s):  
Hanna Kołodziejczyk

This chapter describes blockchain – an IT tool which has found an innovative use in finance, creating a new, fast-growing segment within FinTech. Blockchain, connected to the field of Distributed Ledger Technology, over the last few years has become a proposed solution for problems ranging from keeping financial records to designing new forms of money. The chapter establishes the foundations for further research by explaining what blockchain is and how it works, describing its characteristic features and weighing them against each other in a SWOT matrix. Following that, a number of proposed and already implemented applications of the technology are presented and discussed. This includes: cryptocurrencies, investment/security tokens and the process of tokenizing other types of real-world assets as well as digital repositories.


ISRN Robotics ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Iñaki Navarro ◽  
Fernando Matía

Swarm robotics is a field of multi-robotics in which large number of robots are coordinated in a distributed and decentralised way. It is based on the use of local rules, and simple robots compared to the complexity of the task to achieve, and inspired by social insects. Large number of simple robots can perform complex tasks in a more efficient way than a single robot, giving robustness and flexibility to the group. In this article, an overview of swarm robotics is given, describing its main properties and characteristics and comparing it to general multi-robotic systems. A review of different research works and experimental results, together with a discussion of the future swarm robotics in real world applications completes this work.


2020 ◽  
Vol 5 (49) ◽  
pp. eabe4385
Author(s):  
Marco Dorigo ◽  
Guy Theraulaz ◽  
Vito Trianni

Swarm robotics will tackle real-world applications by leveraging automatic design, heterogeneity, and hierarchical self-organization.


2019 ◽  
pp. 213-228 ◽  
Author(s):  
Alexandros L. Seretakis

Distributed ledger technology, a variant of which is blockchain technology, represents one of the most important innovations of the FinTech revolution. Academics, policy-makers, and market participants are experimenting with the technology with the aim of enhancing the functioning of financial markets. Industry consortia are being formed by the biggest financial institutions in the world seeking to leverage the use of the technology, in order to improve the clearing and settlement process. Furthermore, central banks in advanced and developing economies are examining the potential of using the technology in market infrastructures operated by central banks and are even exploring the possibility of issuing digital base money. Nevertheless, the widespread adoption of distributed ledger technology as envisioned by its ardent supporters encounters considerable legal obstacles, including the numerous new regulations imposed on financial markets and market participants in the aftermath of the Global Financial Crisis. This chapter seeks to disentangle the myths from the realities of the so-called distributed ledger technology or blockchain revolution and discusses how the legal regime can act both as an impediment and a catalyst to the widespread adoption of the technology.


Robotica ◽  
2012 ◽  
Vol 31 (3) ◽  
pp. 345-359 ◽  
Author(s):  
Jan Carlo Barca ◽  
Y. Ahmet Sekercioglu

SUMMARYWe present a review of recent activities in swarm robotic research, and analyse existing literature in the field to determine how to get closer to a practical swarm robotic system for real world applications. We begin with a discussion of the importance of swarm robotics by illustrating the wide applicability of robot swarms in various tasks. Then a brief overview of various robotic devices that can be incorporated into swarm robotic systems is presented. We identify and describe the challenges that should be resolved when designing swarm robotic systems for real world applications. Finally, we provide a summary of a series of issues that should be addressed to overcome these challenges, and propose directions for future swarm robotic research based on our extensive analysis of the reviewed literature.


2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Tariq Alsboui ◽  
Yongrui Qin ◽  
Richard Hill ◽  
Hussain Al-Aqrabi

AbstractWidespread adoption of smart IoT devices is accelerating research for new techniques to make IoT applications secure, scalable, energy-efficient, and capable of working in mission-critical use cases, which require an ability to function offline. In this context, the novel combination of distributed ledger technology (DLT) and distributed intelligence (DI) is seen as a practical route towards the decentralisation of IoT architectures. This paper surveys DI techniques in IoT and commences by briefly explaining the need for DI, by proposing a comprehensive taxonomy of DI in IoT. This taxonomy is then used to review existing techniques and to investigate current challenges that require careful attention and consideration. Based on the taxonomy, IoT DI techniques can be classified into five categories based on the factors that support distributed functionality and data acquisition: cloud-computing, mist-computing, distributed-ledger-technology, service-oriented-computing and hybrid. Existing techniques are compared and categorized mainly based on related challenges, and the level of intelligence supported. We evaluate more than thirty current research efforts in this area. We define many significant functionalities that should be supported by DI frameworks and solutions. Our work assists system architects and developers to select the correct low-level communication techniques in an integrated IoT-to-DLT-to-cloud system architecture. The benefits and shortcomings of different DI approaches are presented, which will inspire future work into automatic hybridization and adaptation of DI mechanisms. Finally, open research issues for distributed intelligence in IoT are discussed.


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