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  • A consensual dataset for complex ontology matching evaluation
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-07-07
    Elodie Thiéblin; Michelle Cheatham; Cassia Trojahn; Ondrej Zamazal

    Simple ontology alignments, largely studied in the literature, link one single entity of a source ontology to one single entity of a target ontology. One of the limitations of these alignments is, however, their lack of expressiveness, which can be overcome by complex alignments, which are composed of correspondences involving logical constructors or transformation functions. While most work on complex

    更新日期:2020-07-07
  • Crowd-assessing quality in uncertain data linking datasets
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-07-02
    Daniel Faria; Alfio Ferrara; Ernesto Jiménez-ruiz; Stefano Montanelli; Catia Pesquita

    The quality of a dataset used for evaluating data linking methods, techniques, and tools depends on the availability of a set of mappings, called reference alignment, that is known to be correct. In particular, it is crucial that mappings effectively represent relations between pairs of entities that are indeed similar due to the fact that they denote the same object. Since the reliability of mappings

    更新日期:2020-07-02
  • A utility-based analysis of equilibria in multi-objective normal-form games
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-30
    Roxana Rădulescu; Patrick Mannion; Yijie Zhang; Diederik M. Roijers; Ann Nowé

    In multi-objective multi-agent systems (MOMASs), agents explicitly consider the possible trade-offs between conflicting objective functions. We argue that compromises between competing objectives in MOMAS should be analyzed on the basis of the utility that these compromises have for the users of a system, where an agent’s utility function maps their payoff vectors to scalar utility values. This utility-based

    更新日期:2020-06-30
  • Effects of parity, sympathy and reciprocity in increasing social welfare
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-23
    Sandip Sen; Chad Crawford; Adam Dees; Rachna Nanda Kumar; James Hale

    We are interested in understanding how socially desirable traits like sympathy, reciprocity, and fairness can survive in environments that include aggressive and exploitative agents. Social scientists have long theorized about ingrained motivational factors as explanations for departures from self-seeking behaviors by human subjects. Some of these factors, namely reciprocity, have also been studied

    更新日期:2020-06-23
  • The merits of using Ethereum MainNet as a Coordination Blockchain for Ethereum Private Sidechains
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-22
    Peter Robinson

    A Coordination Blockchain is a blockchain that coordinates activities of multiple private blockchains. This paper discusses the pros and cons of using Ethereum MainNet, the public Ethereum blockchain, as a Coordination Blockchain. The requirements Ethereum MainNet needs to fulfil to perform this role are analyzed within the context of Ethereum Private Sidechains, a private blockchain technology which

    更新日期:2020-06-23
  • Design patterns for modeling first-order expressive Bayesian networks
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-17
    Mark Locher; Kathryn B. Laskey; Paulo C. G. Costa

    First-order expressive capabilities allow Bayesian networks (BNs) to model problem domains where the number of entities, their attributes, and their relationships can vary significantly between model instantiations. First-order BNs are well-suited for capturing knowledge representation dependencies, but literature on design patterns specific to first-order BNs is few and scattered. To identify useful

    更新日期:2020-06-17
  • Improving trust and reputation assessment with dynamic behaviour
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-17
    Caroline Player; Nathan Griffiths

    Trust between agents in multi-agent systems (MASs) is critical to encourage high levels of cooperation. Existing methods to assess trust and reputation use direct and indirect past experiences about an agent to estimate their future performance; however, these will not always be representative if agents change their behaviour over time. Real-world distributed networks such as online market places,

    更新日期:2020-06-17
  • TEduChain: a blockchain-based platform for crowdfunding tertiary education
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-09
    Mahmood A. Rashid; Krishneel Deo; Divnesh Prasad; Kunal Singh; Sarvesh Chand; Mansour Assaf

    Blockchain is an emerging technology framework for creating and storing transaction in distributed ledgers with a high degree of security and reliability. In this paper, we present a blockchain-based platform to create and store contracts in between students and their higher education sponsors facilitated by intermediary brokers denoted as fundraisers. The sponsorship might be in any form, such as

    更新日期:2020-06-09
  • Adaptable and stable decentralized task allocation for hierarchical domains
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-04
    Vera A. Kazakova; Gita R. Sukthankar

    Many real-world domains can benefit from adaptable decentralized task allocation through emergent specialization, especially in large teams of non-communicating agents. We begin with an existing bio-inspired response threshold reinforcement approach for decentralized task allocation and extend it to handle hierarchical task domains. We test the extension on self-deployment of a large team of non-communicating

    更新日期:2020-06-04
  • Ontologies for cloud robotics
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-02
    Edison Pignaton de Freitas; Julita Bermejo-Alonso; Alaa Khamis; Howard Li; Joanna Isabelle Olszewska

    Cloud robotics (CR) is currently a growing area in the robotic community. Indeed, the use of cloud computing to share data and resources of distributed robotic systems leads to the design and development of cloud robotic systems (CRS) which constitute useful technologies for a wide range of applications such as smart manufacturing, aid and rescue missions. However, in order to get coherent agent-to-cloud

    更新日期:2020-06-02
  • On the impact of architecture design decisions on the quality of blockchain-based applications
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-02
    Diego Marmsoler; Leo Eichhorn

    In software architectures, architectural design decisions (ADDs) strongly influence the quality of the resulting software system. Wrong decisions lead to low-quality systems and are difficult to repair later on in the development process. As of today, little is known about the impact of certain ADDs for the development of architectures for blockchain-based systems. Thus, it is difficult to predict

    更新日期:2020-06-02
  • Cross-chain interoperability among blockchain-based systems using transactions
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-06-01
    Babu Pillai; Kamanashis Biswas; Vallipuram Muthukkumarasamy

    The blockchain is an emerging technology which has the potential to improve many information systems. In this regard, the applications and the platform they are built on must be able to connect and communicate with each other. However, the current blockchain platforms have several limitations, such as lack of interoperability among different systems. The existing platforms of blockchain applications

    更新日期:2020-06-01
  • Towards evaluating complex ontology alignments
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-05-29
    Lu Zhou; Elodie Thiéblin; Michelle Cheatham; Daniel Faria; Catia Pesquita; Cassia Trojahn; Ondřej Zamazal

    The development of semi-automated and automated ontology alignment techniques is an important part of realizing the potential of the Semantic Web. Until very recently, most existing work in this area was focused on finding simple (1:1) equivalence correspondences between two ontologies. However, many real-world ontology pairs involve correspondences that contain multiple entities from each ontology

    更新日期:2020-05-29
  • First human–robot archery competition: a new humanoid robot challenge
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-05-28
    Kuo-Yang Tu; Hong-Yu Lin; You-Ru Li; Che-Ping Hung; Jacky Baltes

    A humanoid robot developed to play multievent athletes like human has paved a way for interesting and popular robotics research. One of the great dreams is to develop a humanoid robot being able to challenge human athletes. Therefore, the challenge of humanoid robots to play archery against human is organized at Taichung, Taiwan, in HuroCup, FIRA 2018, on August 7th. The difficulties of developing

    更新日期:2020-05-28
  • A blockchain-based database management system
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-05-18
    Jeyakumar Samantha Tharani; Mukunthan Tharmakulasingam; Vallipuram Muthukkumarasamy

    The software and hardware applications are clearly on the way of becoming an integral tool of business, communication and popular culture in many parts of the world. People are interacting with the environment via the Internet to perform physical activities remotely. These applications are hosted in the public or private servers under the control of the server admin. The users’ online usage data can

    更新日期:2020-05-18
  • A survey on blockchain-based platforms for IoT use-cases
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-05-08
    Mohammad Jabed Morshed Chowdhury; Md Sadek Ferdous; Kamanashis Biswas; Niaz Chowdhury; Vallipuram Muthukkumarasamy

    The Internet of Things (IoT) has recently emerged as an innovative technology capable of empowering various areas such as healthcare, agriculture, smart cities, smart homes and supply chain with real-time and state-of-the-art sensing capabilities. Due to the underlying potential of this technology, it already saw exponential growth in a wide variety of use-cases in multiple application domains. As

    更新日期:2020-05-08
  • A blockchain-based decentralized booking system
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-05-04
    Naipeng Dong; Guangdong Bai; Lung-Chen Huang; Edmund Kok Heng Lim; Jin Song Dong

    Blockchain technology has rapidly emerged as a decentralized trusted network to replace the traditional centralized intermediator. Especially, the smart contracts that are based on blockchain allow users to define the agreed behaviour among them, the execution of which will be enforced by the smart contracts. Based on this, we propose a decentralized booking system that uses the blockchain as the intermediator

    更新日期:2020-05-04
  • Alin: improving interactive ontology matching by interactively revising mapping suggestions
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-01-20
    Jomar Da Silva; Kate Revoredo; Fernanda Baião; Jérôme Euzenat

    Ontology matching aims at discovering mappings between the entities of two ontologies. It plays an important role in the integration of heterogeneous data sources that are described by ontologies. Interactive ontology matching involves domain experts in the matching process. In some approaches, the expert provides feedback about mappings between ontology entities, that is, these approaches select mappings

    更新日期:2020-04-20
  • Blockchain’s future: can the decentralized blockchain community succeed in creating standards?
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-01-28
    John Flood; Adrian McCullagh

    Nakamoto proposed a new solution to transact value via the internet. And since 2009, blockchain technology has expanded and diversified. It has, however, proven to be inefficient in the way it achieves its outcomes, especially through the proof of work protocol. Other developers are promoting alternative methods but, as yet, none has superseded proof of work. The competing protocols illuminate a key

    更新日期:2020-04-20
  • Immutable autobiography of smart cars leveraging blockchain technology
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-01-27
    MD. Sadek Ferdous; Mohammad Jabed Morshed Chowdhury; Kamanashis Biswas; Niaz Chowdhury; Vallipuram Muthukkumarasamy

    The popularity of smart cars is increasing around the world as they offer a wide range of services and conveniences. These smart cars are equipped with a variety of sensors generating a large amount of data, many of which are critical. Besides, there are multiple parties involved in the lifespan of a smart car, such as manufacturers, car owners, government agencies, and third-party service providers

    更新日期:2020-04-20
  • Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-01-31
    Konstantinos I. Kotis; George A. Vouros; Dimitris Spiliotopoulos

    The aim of this critical review paper is threefold: (a) to provide an insight on the impact of ontology engineering methodologies (OEMs) to the evolution of living and reused ontologies, (b) to update the ontology engineering (OE) community on the status and trends in OEMs and of their use in practice and (c) to propose a set of recommendations for working ontologists to consider during the life cycle

    更新日期:2020-04-20
  • A review and comparison of ontology-based approaches to robot autonomy – ADDENDUM
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-02-06
    Alberto Olivares-Alarcos; Daniel Beßler; Alaa Khamis; Paulo Goncalves; Maki K. Habib; Julita Bermejo-Alonso; Marcos Barreto; Mohammed Diab; Jan Rosell; João Quintas; Joanna Olszewska; Hirenkumar Nakawala; Edison Pignaton; Amelie Gyrard; Stefano Borgo; Guillem Alenyà; Michael Beetz; Howard Li

    Within the next decades, robots will need to be able to execute a large variety of tasks autonomously in a large variety of environments. To relax the resulting programming effort, a knowledge-enabled approach to robot programming can be adopted to organize information in re-usable knowledge pieces. However, for the ease of reuse, there needs to be an agreement on the meaning of terms. A common approach

    更新日期:2020-04-20
  • Enacting policies in digital health: a case for smart legal contracts and distributed ledgers?
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-02-12
    Zoran Milosevic

    This paper presents an approach for the enactment of policies in digital health based on our earlier work on the implementation of digital contracts in distributed systems. A formal policy model and an abstract policy language for the expression of healthcare policies are first proposed, leveraging the semantics of the ISO Reference Model for Open Distributed Processing enterprise language standard

    更新日期:2020-04-20
  • Domain adaptation-based transfer learning using adversarial networks
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-02-26
    Farzaneh Shoeleh; Mohammad Mehdi Yadollahi; Masoud Asadpour

    There is an implicit assumption in machine learning techniques that each new task has no relation to the tasks previously learned. Therefore, tasks are often addressed independently. However, in some domains, particularly reinforcement learning (RL), this assumption is often incorrect because tasks in the same or similar domain tend to be related. In other words, even though tasks are quite different

    更新日期:2020-04-20
  • Toll-based reinforcement learning for efficient equilibria in route choice
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-03-05
    Gabriel de O. Ramos; Bruno C. Da Silva; Roxana Rădulescu; Ana L. C. Bazzan; Ann Nowé

    The problem of traffic congestion incurs numerous social and economical repercussions and has thus become a central issue in every major city in the world. For this work we look at the transportation domain from a multiagent system perspective, where every driver can be seen as an autonomous decision-making agent. We explore how learning approaches can help achieve an efficient outcome, even when agents

    更新日期:2020-04-20
  • Matching biodiversity and ecology ontologies: challenges and evaluation results
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-03-09
    Naouel Karam; Abderrahmane Khiat; Alsayed Algergawy; Melanie Sattler; Claus Weiland; Marco Schmidt

    Biodiversity research studies the variability and diversity of organisms, including variability within and between species with particular focus on the functional diversity of traits and their relationship to environment. Managing biodiversity data implies dealing with its heterogeneous nature using semantics and tailored ontologies. These are themselves differently conceived, and combining them in

    更新日期:2020-04-20
  • Legal smart contracts for derivative trading in mining
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-03-19
    Julian Adam Wise; Meng Chak Chan; Dihon Tadic; Stephanie Miles; Jack Cornish; Ewan Sellers; David Brenecki; Isaac Dzakpata; Barti Murugesan

    This research demonstrates financial derivative trade of unprocessed materials, for the mining industry through legal smart contracts. Within the mining supply chain, a stock of mined resources can reside in a mineral stockpile for over twenty years without gaining financial interest and without undergoing the mineral extraction process to derive value from the asset. This research elaborates on a

    更新日期:2020-04-20
  • Learning self-play agents for combinatorial optimization problems
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-03-23
    Ruiyang Xu; Karl Lieberherr

    Recent progress in reinforcement learning (RL) using self-play has shown remarkable performance with several board games (e.g., Chess and Go) and video games (e.g., Atari games and Dota2). It is plausible to hypothesize that RL, starting from zero knowledge, might be able to gradually approach a winning strategy after a certain amount of training. In this paper, we explore neural Monte Carlo Tree Search

    更新日期:2020-04-20
  • A loyalty program based on Waves blockchain and mobile phone interactions
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-03-30
    Luis J. Dominguez Perez; Luis Ibarra; García-Fernández Alejandro; Agustín Rumayor; Carlos Lara-Alvarez

    Loyalty cards programs have been used by retailers to increase customer retention. Loyality cards provide means to identify a particular customer and to collect customer-specific data, thus enabling individualized marketing; however, operating a loyalty program is complicated for retailers since they require to manage balances, collections, and transfers of customers. This is exactly the same problem

    更新日期:2020-04-20
  • SANOM-HOBBIT: simulated annealing-based ontology matching on HOBBIT platform
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-03-31
    Majid Mohammadi; Wout Hofman; Yao-Hua Tan

    Ontology alignment is an important and inescapable problem for the interconnections of two ontologies stating the same concepts. Ontology alignment evaluation initiative (OAEI) has been taken place for more than a decade to monitor and help the progress of the field and to compare systematically existing alignment systems. As of 2018, the evaluation of systems is partly transitioned to the HOBBIT platform

    更新日期:2020-04-20
  • Regulatory changes for redesigned securities markets with distributed ledger technology
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-03-31
    Muthukkumarasamy Thuvarakan

    Distributed ledger technology (DLT) is regarded as a revolutionary solution that offers immutability, transparency, trust, and efficiency while ‘transcending law and regulation’. One of the potential applications of DLT is in the securities market. Share registration, settlement, regulatory compliance, information disclosure, payment systems, and market service requirements can be redesigned with the

    更新日期:2020-04-20
  • Robot magic show: human–robot interaction
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-04-07
    Jaesik Jeong; Jeehyun Yang; Jacky Baltes

    The use of robots in performance arts is increasing. But, it is hard for robots to cope with unexpected circumstances during a performance, and it is almost impossible for robots to act fully autonomously in such situations. IROS-HAC is a new challenge in robotics research and a new opportunity for cross-disciplinary collaborative research. In this paper, we describe a practical method for generating

    更新日期:2020-04-20
  • Orchestrating DDoS mitigation via blockchain-based network provider collaborations
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2020-04-14
    Adam Pavlidis; Marinos Dimolianis; Kostas Giotis; Loukas Anagnostou; Nikolaos Kostopoulos; Theocharis Tsigkritis; Ilias Kotinas; Dimitrios Kalogeras; Vasilis Maglaris

    Network providers either attempt to handle massive distributed denial-of-service attacks themselves or redirect traffic to third-party scrubbing centers. If providers adopt the first option, it is sensible to counter such attacks in their infancy via provider collaborations deploying distributed security mechanisms across multiple domains in an attack path. This motivated our work presented in this

    更新日期:2020-04-20
  • Data preprocessing in predictive data mining
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-01-09
    Stamatios-Aggelos N. Alexandropoulos; Sotiris B. Kotsiantis; Michael N. Vrahatis

    A large variety of issues influence the success of data mining on a given problem. Two primary and important issues are the representation and the quality of the dataset. Specifically, if much redundant and unrelated or noisy and unreliable information is presented, then knowledge discovery becomes a very difficult problem. It is well-known that data preparation steps require significant processing

    更新日期:2020-03-20
  • Dimensions in programming multi-agent systems
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-01-14
    Olivier Boissier; Rafael H. Bordini; Jomi F. Hübner; Alessandro Ricci

    Research on Multi-Agent Systems (MAS) has led to the development of several models, languages, and technologies for programming not only agents, but also their interaction, the application environment where they are situated, as well as the organization in which they participate. Research on those topics moved from agent-oriented programming towards multi-agent-oriented programming (MAOP). A MAS program

    更新日期:2020-03-20
  • Principles and practice of multi-agent systems
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-02-05
    Qingliang Chen; Paolo Torroni; Serena Villata

    None

    更新日期:2020-03-20
  • Jargon of Hadoop MapReduce scheduling techniques: a scientific categorization
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-03-15
    Muhammad Hanif; Choonhwa Lee

    Recently, valuable knowledge that can be retrieved from a huge volume of datasets (called Big Data) set in motion the development of frameworks to process data based on parallel and distributed computing, including Apache Hadoop, Facebook Corona, and Microsoft Dryad. Apache Hadoop is an open source implementation of Google MapReduce that attracted strong attention from the research community both in

    更新日期:2020-03-20
  • A review of generalized planning
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-03-12
    Sergio Jiménez; Javier Segovia-Aguas; Anders Jonsson

    Generalized planning studies the representation, computation and evaluation of solutions that are valid for multiple planning instances. These are topics studied since the early days of AI. However, in recent years, we are experiencing the appearance of novel formalisms to compactly represent generalized planning tasks, the solutions to these tasks (called generalized plans) and efficient algorithms

    更新日期:2020-03-20
  • Predictive models and abstract argumentation: the case of high-complexity semantics
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-04-18
    Mauro Vallati; Federico Cerutti; Massimiliano Giacomin

    In this paper, we describe how predictive models can be positively exploited in abstract argumentation. In particular, we present two main sets of results. On one side, we show that predictive models are effective for performing algorithm selection in order to determine which approach is better to enumerate the preferred extensions of a given argumentation framework. On the other side, we show that

    更新日期:2020-03-20
  • Short-text learning in social media: a review
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-06-06
    Antonela Tommasel; Daniela Godoy

    Social networks occupy a ubiquitous and pervasive place in the life of their users. The substantial amount of content generated and shared by social networking users offers new research opportunities across a wide variety of disciplines, including media and communication studies, linguistics, sociology, psychology, information and computer sciences, or education. This situation, in combination with

    更新日期:2020-03-20
  • Introspective Q-learning and learning from demonstration
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-01-01
    Mao Li; Tim Brys; Daniel Kudenko

    One challenge faced by reinforcement learning (RL) agents is that in many environments the reward signal is sparse, leading to slow improvement of the agent’s performance in early learning episodes. Potential-based reward shaping can help to resolve the aforementioned issue of sparse reward by incorporating an expert’s domain knowledge into the learning through a potential function. Past work on reinforcement

    更新日期:2020-03-20
  • Time-sensitive resource re-allocation strategy for interdependent continuous tasks
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-07-22
    Valeriia Haberland; Simon Miles; Michael Luck

    An increase in volumes of data and a shift towards live data enabled a stronger focus on resource-intensive tasks which run continuously over long periods. A Grid has potential to offer the required resources for these tasks, while considering a fair and balanced allocation of resources among multiple client agents. Taking this into account, a Grid might be unwilling to allocate its resources for long

    更新日期:2020-03-20
  • Pre-training with non-expert human demonstration for deep reinforcement learning
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-07-26
    Gabriel V. de la Cruz; Yunshu Du; Matthew E. Taylor

    Deep reinforcement learning (deep RL) has achieved superior performance in complex sequential tasks by using deep neural networks as function approximators to learn directly from raw input images. However, learning directly from raw images is data inefficient. The agent must learn feature representation of complex states in addition to learning a policy. As a result, deep RL typically suffers from

    更新日期:2020-03-20
  • Automatic landmark discovery for learning agents under partial observability
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-08-02
    Alper Demіr; Erkіn Çіlden; Faruk Polat

    In the reinforcement learning context, a landmark is a compact information which uniquely couples a state, for problems with hidden states. Landmarks are shown to support finding good memoryless policies for Partially Observable Markov Decision Processes (POMDP) which contain at least one landmark. SarsaLandmark, as an adaptation of Sarsa(λ), is known to promise a better learning performance with the

    更新日期:2020-03-20
  • Team learning from human demonstration with coordination confidence
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-11-05
    Bikramjit Banerjee; Syamala Vittanala; Matthew Edmund Taylor

    Among an array of techniques proposed to speed-up reinforcement learning (RL), learning from human demonstration has a proven record of success. A related technique, called Human-Agent Transfer, and its confidence-based derivatives have been successfully applied to single-agent RL. This article investigates their application to collaborative multi-agent RL problems. We show that a first-cut extension

    更新日期:2020-03-20
  • Action learning and grounding in simulated human–robot interactions
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-11-12
    Oliver Roesler; Ann Nowé

    In order to enable robots to interact with humans in a natural way, they need to be able to autonomously learn new tasks. The most natural way for humans to tell another agent, which can be a human or robot, to perform a task is via natural language. Thus, natural human–robot interactions also require robots to understand natural language, i.e. extract the meaning of words and phrases. To do this,

    更新日期:2020-03-20
  • Two-level Q-learning: learning from conflict demonstrations
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-11-12
    Mao Li; Yi Wei; Daniel Kudenko

    One way to address this low sample efficiency of reinforcement learning (RL) is to employ human expert demonstrations to speed up the RL process (RL from demonstration or RLfD). The research so far has focused on demonstrations from a single expert. However, little attention has been given to the case where demonstrations are collected from multiple experts, whose expertise may vary on different aspects

    更新日期:2020-03-20
  • User validation in ontology alignment: functional assessment and impact
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-11-14
    Huanyu Li; Zlatan Dragisic; Daniel Faria; Valentina Ivanova; Ernesto Jiménez-Ruiz; Patrick Lambrix; Catia Pesquita

    User validation is one of the challenges facing the ontology alignment community, as there are limits to the quality of the alignments produced by automated alignment algorithms. In this paper, we present a broad study on user validation of ontology alignments that encompasses three distinct but inter-related aspects: the profile of the user, the services of the alignment system, and its user interface

    更新日期:2020-03-20
  • Localization and obstacle avoidance in soccer competition of humanoid robot by gait and vision system
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-11-20
    Shu-Yin Chiang; Jia-Huei Lu

    In this study, we designed a localization and obstacle avoidance system for humanoid robots in the Federation of International Robot-soccer Association (FIRA) HuroCup united soccer competition event. The localization is implemented by using grid points, gait, and steps to determine the positions of each robot. To increase the localization accuracy and eliminate the accumulated distance errors resulting

    更新日期:2020-03-20
  • Ontologies for Industry 4.0
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-11-22
    Veera Ragavan Sampath Kumar; Alaa Khamis; Sandro Fiorini; Joel Luís Carbonera; Alberto Olivares Alarcos; Maki Habib; Paulo Goncalves; Howard Li; Joanna Isabelle Olszewska

    The current fourth industrial revolution, or ‘Industry 4.0’ (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of

    更新日期:2020-03-20
  • A sketch drawing humanoid robot using image-based visual servoing
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-11-25
    Meng-Cheng Lau; John Anderson; Jacky Baltes

    This paper presents our sketch drawing artist humanoid robot research. One of the limitations of the existing artist humanoid robot is the lack of feedback on the error that occurs during the drawing process. The contribution of this research is the development of a humanoid robot artist with drawing error correction capability. Based on our previous work with open-loop control pen-and-ink humanoid

    更新日期:2020-03-20
  • A multi-objective evolutionary hyper-heuristic algorithm for team-orienteering problem with time windows regarding rescue applications
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-12-02
    Hadi S. Aghdasi; Saeed Saeedvand; Jacky Baltes

    The team-orienteering problem (TOP) has broad applicability. Examples of possible uses are in factory and automation settings, robot sports teams, and urban search and rescue applications. We chose the rescue domain as a guiding example throughout this paper. Hence, this paper explores a practical variant of TOP with time window (TOPTW) for rescue applications by humanoid robots called TOPTWR. Due

    更新日期:2020-03-20
  • A comprehensive survey on humanoid robot development
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-12-03
    Saeed Saeedvand; Masoumeh Jafari; Hadi S. Aghdasi; Jacky Baltes

    The development of a versatile, fully-capable humanoid robot as envisioned in science fiction books is one of the most challenging but interesting issues in the robotic field. Currently, existing humanoid robots are designed with different purposes and applications in mind. In humanoid robot development process, each robot is designed with various characteristics, abilities, and equipment, which influence

    更新日期:2020-03-20
  • Coupling the normative regulation with the constitutive state management in Situated Artificial Institutions
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-12-04
    Maiquel De Brito; Jomi Fred Hübner; Olivier Boissier

    Artificial Institutions are systems where the regulation defined through norms is based on an interpretation of the concrete world where the agents are situated and interact. Such interpretation can be defined through constitutive rules. The literature proposes independent approaches for the definition and management of both norms and constitutive rules. However, they are usually either not coupled

    更新日期:2020-03-20
  • Imitation of human motion for humanoid robot in lift and carry event
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-12-03
    Shu-Yin Chiang; Hao-Ge Jiang

    This study proposed a method to enable a humanoid robot to step up onto a stair by imitating the step-up motion of a human and to accomplish a lift and carry event in HuroCup of Federation of International RoboSports Association. The step-up motion, divided into five states, was captured by a Kinect sensor, and the human joints corresponded to the humanoid robot joints. Selected servomotors and their

    更新日期:2020-03-20
  • Adaptive computational SLAM incorporating strategies of exploration and path planning
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-12-02
    Jacky Baltes; Da-Wei Kung; Wei-Yen Wang; Chen-Chien Hsu

    Simultaneous localization and mapping (SLAM) is a well-known and fundamental topic for autonomous robot navigation. Existing solutions include the FastSLAM family-based approaches which are based on Rao–Blackwellized particle filter. The FastSLAM methods slow down greatly when the number of landmarks becomes large. Furthermore, the FastSLAM methods use a fixed number of particles, which may result

    更新日期:2020-03-20
  • TempCourt: evaluation of temporal taggers on a new corpus of court decisions
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-12-17
    María Navas-Loro; Erwin Filtz; Víctor Rodríguez-Doncel; Axel Polleres; Sabrina Kirrane

    The extraction and processing of temporal expressions (TEs) in textual documents have been extensively studied in several domains; however, for the legal domain it remains an open challenge. This is possibly due to the scarcity of corpora in the domain and the particularities found in legal documents that are highlighted in this paper. Considering the pivotal role played by temporal information when

    更新日期:2020-03-20
  • The average speed of motion and optimal power consumption in biped robots
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-12-19
    Vida Shams Esfanabadi; Mostafa Rostami; Seyed Mohammadali Rahmati; Jacky Baltes; Soroush Sadeghnejad

    One of the issues that have garnered little attention, but that is nevertheless important for developing practical robots, is optimal walking conditions like power consumption during walking. The main contribution of this research is to prepare a correct walking pattern for humans who have a problem with their walking and also study the effect of average motion speed on optimal power consumption. In

    更新日期:2020-03-20
  • Designing emotional BDI agents: good practices and open questions
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-12-17
    Yanet Sánchez-López; Eva Cerezo

    Intelligent agents built on the basis of the BDI (belief–desire–intention) architecture are known as BDI agents. Currently, due to the increasing importance given to the affective capacities, they have evolved giving way to the BDI emotional agents. These agents are generally characterized by affective states such as emotions, mood or personality but sometimes also by affective capacities such as empathy

    更新日期:2020-03-20
  • Dr. Eureka: a humanoid robot manipulation case study
    Knowl. Eng. Rev. (IF 1.257) Pub Date : 2019-12-19
    Lin Yu-Ren; Guilherme Henrique Galelli Christmann; Ricardo Bedin Grando; Rodrigo Da Silva Guerra; Jacky Baltes

    To this day, manipulation still stands as one of the hardest challenges in robotics. In this work, we examine the board game Dr. Eureka as a benchmark to encourage further development in the field. The game consists of a race to solve a manipulation puzzle: reordering colored balls in transparent tubes, in which the solution requires planning, dexterity and agility. In this work, we present a robot

    更新日期:2020-03-20
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