93 research outputs found
Actor-critic reinforcement learning for bidding in bilateral negotiation
No full textDesigning an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is a conflict of interests. Instead of designing a hand-crafted decision-making module, this work proposes a novel bidding strategy adopting an actor-critic reinforcement learning approach, which learns what to offer in a bilateral negotiation. An entropy reinforcement learning framework called Soft Actor-Critic (SAC) is applied to the bidding problem, and a self-play approach is employed to train the model. Our model learns to produce the target utility of the coming offer based on previous offer exchanges and remaining time. Furthermore, an imitation learning approach called behavior cloning is adopted to speed up the learning process. Also, a novel reward function is introduced that does take not only the agent’s own utility but also the opponent’s utility at the end of the negotiation. The developed agent is empirically evaluated. Thus, a large number of negotiation sessions are run against a variety of opponents selected in different domains varying in size and opposition. The agent’s performance is compared with its opponents and the performance of the baseline agents negotiating with the same opponents. The empirical results show that our agent successfully negotiates against challenging opponents in different negotiation scenarios without requiring any former information about the opponent or domain in advance. Furthermore, it achieves better results than the baseline agents regarding the received utility at the end of the successful negotiations.Interactive Intelligenc
On Leonardo, Leonardo–Lucas and modified Leonardo elliptic quaternions and their matrix representations
No full textIn this paper, we present a new class of elliptic quaternions that incorporate Leonardo, Leonardo–Lucas and modified Leonardo numbers into their components. We explore some fundamental properties associated with these numbers. In particular, we obtain recurrence relations, generating function, Binet formula of these sequences and by using Binet formula we derive Vajda, Cassini, Catalan and d’Ocagne identities. Lastly, we investigate two different matrix representations of these numbers
Nova: Value-based Negotiation of Norms
No full textSpecifying a normative multiagent system (nMAS) is challenging, because different agents often have conflicting requirements. Whereas existing approaches can resolve clear-cut conflicts, tradeoffs might occur in practice among alternative nMAS specifications with no apparent resolution. To produce an nMAS specification that is acceptable to each agent, we model the specification process as a negotiation over a set of norms. We propose an agent-based negotiation framework, where agents' requirements are represented as values (e.g., patient safety, privacy, and national security), and an agent revises the nMAS specification to promote its values by executing a set of norm revision rules that incorporate ontology-based reasoning. To demonstrate that our framework supports creating a transparent and accountable nMAS specification, we conduct an experiment with human participants who negotiate against our agent. Our findings show that our negotiation agent reaches better agreements (with small p-value and large effect size) faster than a baseline strategy. Moreover, participants perceive that our agent enables more collaborative and transparent negotiations than the baseline (with small p-value and large effect size in particular settings) toward reaching an agreement.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Interactive Intelligenc
Effect of different objective functions on control performance of tuned mass damper for a high-rise building considering soil–structure interaction
No full textThis paper deals with the optimization of the tuned mass damper (TMD) with different objective functions for high-rise building under earthquake motions considering soil–structure interaction (SSI). A study is conducted to search for the TMD that outperforms five objective functions (i.e., OF-1–OF-5) containing combinations of the structural responses and foundation responses. The main goal of the present study is to evaluate and compare the control performance of these five objective functions. The optimum parameters of TMD are obtained by particle swarm algorithm (PSA) to minimize the acceleration transfer function. To determine the dynamic response of a 40-story building under the influence of SSI, six different foundation soil conditions and eight different earthquake records are considered. The results show that the SSI effects on the dynamic response of the high-rise building resting on relatively soft soil types such as SD and SE are of critical importance. It is shown that the effectiveness of the optimum TMD designed by OF-1 is better than the others in suppressing the peak response values for all soil types. After OF-1, the best performances are obtained for OF-3 and OF-5 which yield approximately the same effectiveness. It is also found that different earthquake records, soil types and objective functions are very effective on the effectiveness of TMD. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.WOS:00075618540000
Symbolic knowledge extraction for explainable nutritional recommenders
No full textBackground and objective:This paper focuses on nutritional recommendation systems (RS), i.e. AI-powered automatic systems providing users with suggestions about what to eat to pursue their weight/body shape goals. A trade-off among (potentially) conflictual requirements must be taken into account when designing these kinds of systems, there including: (i) adherence to experts’ prescriptions, (ii) adherence to users’ tastes and preferences, (iii) explainability of the whole recommendation process. Accordingly, in this paper we propose a novel approach to the engineering of nutritional RS, combining machine learning and symbolic knowledge extraction to profile users—hence harmonising the aforementioned requirements. MethodsOur contribution focuses on the data processing workflow. Stemming from neural networks (NN) trained to predict user preferences, we use CART Breiman et al.(1984) to extract symbolic rules in Prolog Körner et al.(2022) form, and we combine them with expert prescriptions brought in similar form. We can then query the resulting symbolic knowledge base via logic solvers, to draw explainable recommendations. ResultsExperiments are performed involving a publicly available dataset of 45,723 recipes, plus 12 synthetic datasets about as many imaginary users, and 6 experts’ prescriptions. Fully-connected 4-layered NN are trained on those datasets, reaching ∼86% test-set accuracy, on average. Extracted rules, in turn, have ∼80% fidelity w.r.t. those NN. The resulting recommendation system has a test-set precision of ∼74%. The symbolic approach makes it possible to devise how the system draws recommendations. ConclusionsThanks to our approach, intelligent agents may learn users’ preferences from data, convert them into symbolic form, and extend them with experts’ goal-directed prescriptions. The resulting recommendations are then simultaneously acceptable for the end user and adequate under a nutritional perspective, while the whole process of recommendation generation is made explainable.Interactive Intelligenc
Decentralized multi-agent path finding framework and strategies based on automated negotiation
No full textThis paper introduces a negotiation framework to solve the Multi-Agent Path Finding (MAPF) Problem for self-interested agents in a decentralized fashion. The framework aims to achieve a good trade-off between the privacy of the agents and the effectiveness of solutions. Accordingly, a token-based bilateral negotiation protocol and two negotiation strategies are presented. The experimental results over four different settings of the MAPF problem show that the proposed approach could find conflict-free path solutions albeit suboptimally, especially when the search space is large and high-density. In contrast, Explicit Estimation Conflict-Based Search (EECBS) struggles to find optimal solutions. Besides, deploying a sophisticated negotiation strategy that utilizes information about local density for generating alternative paths can yield remarkably better solution performance in this negotiation framework.Interactive Intelligenc
Optimizing Visibility of Historical Structures Using Modified Weighted Differential Evolution: Insights from the Kromni Valley, Gümüşhane, Türkiye
No full textIt is very important for historical structures to see each other in order to reveal the historical and cultural identity of a region. Historical structures in the Kromni Valley of Gümüşhane, located near the Sümela Monastery, served as places of worship, communication, trade, and social activity centers during their period of active use. This study analyses the spatial relationships of 38 historic buildings, including churches, chapels and castles, whose 3D models are created by in-situ measurements and point clouds obtained by unmanned aerial vehicles, using a 3D viewshed analysis using geographic information systems and remote sensing data. The research introduces a modified weighted differential evolution-based viewshed analysis (mWDE-WS) to enhance the visibility of these structures. In order to assess the applicability of the proposed method, a statistical comparison was conducted between four different Differential Evolution (DE) algorithms (standard DE, LSHADE, CobiDE, JADE and WDE) and the mWDE. The Wilcoxon signed-rank test indicates that mWDE is a more effective solution than alternative methods for addressing the relevant real-world issues. The study also integrates drainage network analysis to assess flood risks and the relationship between cultural structures and water flow. Findings show that historical structures in the region were built not randomly but within a rational approach and 64% of the study area is visible from structures and 2% of the area is visible from ten or more structures. mWDE-WS analysis revealed that the visible area could increase by 20% to 84.37% if the historic structures were placed in optimal locations. In addition, the historical structures were built away from 3rd order streams to minimize flood risk and humidity, demonstrating the community's awareness of the local topography and hydrology. © Author(s) 2025
The effect of racialization on EFL learners’ conceptualizations of the native speaker construct
No full textThis study draws upon Flores and Rosa’s (2015) raciolinguistic ideologies to investigate the extent to which racialization shapes EFL learners’ conceptualizations of the native speaker construct through an experimental design. Three hundred and fourteen university students studying at English-medium universities in Turkey were invited to take an online matched guise test. They were assigned to either the control group or the experimental group randomly. The participants in the control group were presented with photos of women in their late 20s, accompanied by 30-second speech samples recorded by White, Midwestern American women. In the experimental group, the same speech samples were accompanied by photos of similarly-aged women from racially minoritized backgrounds. Two of them were Black, two East Asian, and two South Asian. The participants were asked to respond to 14 statements about each speaker on a five-point Likert scale. The statements were created based on the various qualities commonly referred to in the literature when defining native English speakers. They referred to both linguistic factors such as fluency, intelligibility, age of language acquisition, intuitions about grammar, etc., and non-linguistic factors such as citizenship of an Anglophone country, birthplace, etc. The results revealed that the participants rated the speakers in the control group (White speakers) as significantly more “native” than the speakers of color. This study contributes to the TESOL literature by providing empirical evidence of the racialized nature of the term ‘native English speaker.’Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-08-01The student, Furkan Kir, accepted the attached license on 2021-06-24 at 11:14.The student, Furkan Kir, submitted this Thesis for approval on 2021-06-24 at 11:15.This Thesis was approved for publication on 2021-06-28 at 16:19.DSpace SAF Submission Ingestion Package generated from Vireo submission #14524 on 2022-01-12 at 12:51:18Made available in DSpace on 2022-01-12T22:34:36Z (GMT). No. of bitstreams: 2
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Performance of mechanically deboned chicken meat protein coatings containing thyme or clove essential oil for storage quality improvement of beef sucuks
No full textThe performance of mechanically deboned chicken meat protein (MDCM-P) coatings containing thyme (TEO) or clove essential oils (CEO) was investigated to improve the storage quality of heat treated sucuks during 45 days of storage at 4 degrees C. The sucuk slices were divided to 4 groups as uncoated, coated with MDCM-P solution, coated with MDCM-P solution containing 1.5% TEO and MDCM-P solution containing 1.5% CEO. Physical, chemical and microbial properties of sucuk samples were analyzed on 0, 15, 30 and 45 days of storage. Results indicated that the weight loss, pH, thiobarbituric acid reactive subtances, total viable and psychrotrophic bacteria counts increased, while a* and b* values and water activity decreased with storage time (p < .05). In all analysis periods, these changes were slowed down with coating applications containing essential oils, but the slowest changes were observed in coated sucuks with MDCM-P solution containing 1.5% CEO. Therefore, MDCM-P coatings containing CEO could improve the storage quality of heat treated sucuks at refrigerator.Ondokuz Mayis University Research FoundationOndokuz Mayis University [PYO.MUH.1904.15.006]This study was derived from Furkan Turker Saricaoglu's PhD thesis. The author gratefully acknowledges financial support by Ondokuz Mayis University Research Foundation (PYO.MUH.1904.15.006)
Hasırızade Elif Efendi ve en-nurul furkan isimli kuran sözlüğü (Elif ve Ba’babları)
No full text06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Bu tez, Hasîrîzâde Mehmed Elif Efendi'nin en-Nûru'l-Furkân fî Şerhi Lügati'l-Kur'ân isimli eseri esas alınarak yapılan bir çalışmadır.Giriş bölümünde araştırmamızın konusu ve önemi ile araştırmada kullanılan yöntem hakkında ayrıntılı ve aydınlatıcı bilgiler verilmiştir.Çalışma, üç temel bölümden oluşmaktadır. Birinci bölümde, Hasîrîzâde Mehmed Elif Efendi'nin hayatı, ilmî faaliyetleri ve eserleri hakkında bilgi verilmiştir. Bu bağlamda Elif Efendi'nin doğumu, çocukluğu, öğrenim ve öğretim hayatı, resmî görevleri ve yapmış olduğu çalışmalar ana kaynaklara inilerek incelenmiştir.İkinci bölüm ise en-Nûru'l-Furkân fî Şerhi Lügati'l-Kur'ân ile ilgili ayrıntılı inceleme ve tahlil bölümüdür. Bu bölümde müellifin eseri yazarken takip ettiği yöntem, kelimelerin açıklanmasında izlediği yol, başlıklar halinde incelenmiştir. Yine bu bölümde eser, kendisinden önce bu alanda yazılmış olan eserlerle mukayese edilmiştir. Ayrıca Elif Efendi'nin, eserini yazarken yararlandığı kaynaklar üzerinde durularak bunlardan ne şekilde ve ölçüde yararlandığı konusunda bilgiler verilmiştir.Çalışmanın üçüncü ve son bölümünde ise en-Nûru'l-Furkân fî Şerhi Lügati'l-Kur'ân (Elif ve Bâ babları) latinize edilerek bir transkripsiyon çalışması yapılmıştır. Bu bölümde ayrıca ayetlerin yerleri belirlenerek metne eklenmiş eksik ya da yanlış kısımlar belirtilmiştir. Latinize ve transkripsiyon çalışması sırasında metnin aslına mümkün olduğunca sadık kalınmaya çalışılmıştır.The thesis is a work which is based on the book named en-Nûru?l-Furkan fî Şerhi Lügati?l-Kur?an by Hasîrîzâde Mehmed Elif Efendi.In the introduction part, the detailed and illuminative knowledge of the topic, its importance and the methods used in the research are given.The work consists of three basic parts. In the first part, the information of the biography, scientific work and masterpieces of Hasîrîzâde Mehmed Elif Efendi are given. Accordingly, the birth, childhood, education and instruction life, official functions and the work he had done were studied to the basic roots.The second part is the detailed research and analysis section of en-Nûru?l-Furkan fî Şerhi Lügati?l-Kur?an. In this section, the process which was followed by the author while writing the work of art, the way which he used in the explanation of the words were analysed under headings. In addition to this, in this part, the work was compared to the other work which was written on this field beforehand. Besides, the sources which the author benefited from are dwelled upon and how and to which extent he made use of them are detailed.The third and the last part of the study (Elif and Bâ parts) is latinized and study of transcription is made. Also, in this part, the identification of the places of verses is done and the added parts which are missing or inaccurate are stressed. In the study of latinization and transcription, the great attention to stick to the text is tried to be achieved as much as possible
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