273 research outputs found
Thermal tourism in Turkey
No full text#nofulltext# --- Wolff, Reyhan Ayşen (Arel Author), Başol, Koray (Arel Author) -- Conference: 13th International Joint World Cultural Tourism Conference. Cultural Tourism : New Possibilities, October 12-14, 2012.
Deniz: A Robust Bidding Strategy for Negotiation Support Systems
No full textThis paper presents the Deniz agent that has been specifically designed to support human negotiators in their bidding. The design of Deniz is done with the criteria of robustness and the availability of small data, due to a small number of negotiation rounds in mind. Deniz’s bidding strategy is based on an existing optimal concession strategy that concedes in relation to the expected duration of the negotiation. This accounts for the small data and small number of rounds. Deniz deploys an adaptive behavior-based mechanism to make it robust against exploitation. We tested Deniz against typical bidding strategies and against human negotiators. Our evaluation shows that Deniz is robust against exploitation and gains statistically significant higher utilities than human test subjects, even though it is not designed specifically to get the highest utility against humans.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
A Survey of Decision Support Mechanisms for Negotiation
No full textThis paper introduces a dependency analysis and a categorization of conceptualized and existing economic decision support mechanisms for negotiation. The focus of our survey is on economic decision support mechanisms, although some behavioural support mechanisms were included, to recognize the important work in that area. We categorize support mechanisms from four different aspects: (i) economic versus behavioral decision support, (ii) analytical versus strategical support, (iii) active versus passive support and (iv) implicit versus explicit support. Our survey suggests that active mechanisms would be more effective than passive ones, and that implicit mechanisms can shield the user from mathematical complexities. Furthermore, we provide a list of existing economic support mechanisms.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
Sosyal girişimcilik: Başarılı sosyal girişimci kadın öyküsü
No full text#nofulltext# --- Çolakoğlu, Nurdan (Arel Author), Wolff, Reyhan Ayşen (Arel Author), Başol, Koray (Arel Author) --- Conference: I.Uluslararası Katılımlı Kadın Girişimcilik Çalıştayı, 15-17 Mayıs 2013.
Riot Grrrls, Bitchsm, and pussy power:interview with Reyhan Şahin/Lady Bitch Ray
No full textDr phil. Reyhan Şahin—also known as Lady Bitch Ray—earned her M.A. in Linguistics, German Literature, and Education in 2004 and her doctorate in Linguistics in 2012 at the University of Bremen. Her alter ego, Lady Bitch Ray is a rapper, performer, fashion designer, and author. The following interview introduces Şahin’s work as a performer and as an academic and sheds light on the negotiation of feminist politics in a neoliberal context as well as how the complex politics of difference play out in contemporary, digital feminisms in the German-speaking context. By speaking in two voices, the academic and the performer/artist, the interview emphasizes the playful possibilities of the urgently political.</p
Bidding Support by the Pocket Negotiator Improves Negotiation Outcomes
No full textThis paper presents the negotiation support mechanisms provided by the Pocket Negotiator (PN) and an elaborate empirical evaluation of the economic decision support (EDS) mechanisms during the bidding phase of negotiations as provided by the PN. Some of these support mechanisms are offered actively, some passively. With passive support we mean that the user only gets that support by clicking a button, whereas active support is provided without prompting. Our results show, that PN improves negotiation outcomes, counters cognitive depletion, and encourages exploration of potential outcomes. We found that the active mechanisms were used more effectively than the passive ones and, overall, the various mechanisms were not used optimally, which opens up new avenues for research. As expected, the participants with higher negotiation skills outperformed the other groups, but still they benefited from PN support. Our experimental results show that people with enough technical skills and with some basic negotiation knowledge will benefit most from PN support. Our results also show that the cognitive depletion effect is reduced by Pocket Negotiator support. The questionnaire taken after the experiment shows that overall the participants found Pocket Negotiator easy to interact with, that it made them negotiate more quickly and that it improves their outcome. Based on our findings, we recommend to 1) provide active support mechanisms (push) to nudge users to be more effective, and 2) provide support mechanisms that shield the user from mathematical complexities.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 publicInteractive Intelligenc
NILAI-NILAI DAKWAH PADA FILM “BUYA HAMKA”
No full textABSTRAK
Nama: Muhammad Reyhan
Prodi: Manajemen Dakwah
Judul: Nilai-nilai Dakwah Pada Film "Buya Hamka"
Abdul Karim Malik Amrullah atau biasa dikenal sebagai Buya Hamka merupakan tokoh nasional juga tokoh besar Muhammadiyah, Buya Hamka juga merupakan salah satu penulis besar dalam sejarah Indonesia, salah satu karya terbesar Buya Hamka ialah Tafsir Al-Ahzar pada tahun 1965. Penelitian ini dilatarbelakangi oleh Berkembangnya industri perfilman pada saat ini yang memberikan dampak-dampak yang cukup besar terhadap keberlangsungan hidup secara langsung, maupun tidak langsung, perkembangan industri film ini juga mencakup banyak hal dimana salah satunya ialah terdapatnya film ber genre religi yang di dalamnya terdapat pesan-pesan dakwah. Film Buya Hamka ini diangkat dari kisah perjalanan hidup seorang pahlawan nasional juga salah tokoh besar agama Islam di Indonesia, berbeda dengan flm biografi pada umumnya, film ini mencakup banyak hal di dalamnya, termasuk dakwah agama Islam. Skripsi ini bertujuan untuk mencari tahu apa saja Nilai-nilai dakwah yang terdapat pada Film Buya Hamka, Penelitian ini merupakan penelitian Kualitatif yang menggunakan metode Deskriptif. Hasil Penelitian ini menemukan 11 scene yang mengandung Nilai-nilai Dakwah, diantaranya Nilai-nilai yang dimaksud adalah Nilai Kesetaraan, Nilai Tauhid, Nilai Islam Rahmatan lil-alamin, Nilai Seni Dalam Berdakwah, Nilai Pendidikan, Nilai Modernisasi, Dan Nilai Filantropi. Diantaranya ditemukan 1 nilai kesetaraan, 3 nilai tauhid, 1 nilai Islam rahmatan lil-alamin, 1 nilai seni dalam berdakwah, 2 nilai pendidikan, 1 nilai modernisasi, 1 nilai filantropi. Dalam Hasil penelitian ini Penulis juga menyarankan kepada Sutradara agar dapat memperbanyak produksi film ber genre religi agar dapat memberi dampak yang lebih baik lagi terhadap masyarakat luas, juga saran penulis kepada penonton agar dapat mengambil nilai-nilai positif di dalam film yang ditonton.
Kata Kunci: Buya Hamka, Nilai-nilai Dakwah, Nilai-nilai Dakwah Pada Film, Nilai Kesetaraan, Nilai Tauhid, Nilai Islam Rahmatan lil-alamin, Nilai Seni Dalam Berdakwah, Nilai Pendidikan, Nilai Modernisasi, Nilai Filantropi, Dakwah, Film, Film Religi, Film Buya Hamka
Metrics for Evaluating Explainable Recommender Systems
No full textRecommender systems aim to support their users by reducing information overload so that they can make better decisions. Recommender systems must be transparent, so users can form mental models about the system’s goals, internal state, and capabilities, that are in line with their actual design. Explanations and transparent behaviour of the system should inspire trust and, ultimately, lead to more persuasive recommendations. Here, explanations convey reasons why a recommendation is given or how the system forms its recommendations. This paper focuses on the question how such claims about effectiveness of explanations can be evaluated. Accordingly, we investigate various models that are used to assess the effects of explanations and recommendations. We discuss objective and subjective measurement and argue that both are needed. We define a set of metrics for measuring the effectiveness of explanations and recommendations. The feasibility of using these metrics is discussed in the context of a specific explainable recommender system in the food and health domain.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
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
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
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