Measuring the strength of threats, rewards, and appeals in persuasive negotiation dialogues

2020 ◽  
Vol 35 ◽  
Author(s):  
Mariela Morveli-Espinoza ◽  
Juan Carlos Nieves ◽  
Cesar Augusto Tacla
Keyword(s):  
State Of The Art ◽  
The State ◽  
Strength Calculation ◽  
Proposed Model ◽  
The Status ◽  
Certainty Level ◽  
New Criteria ◽  
Processing Cycle

Abstract The aim of this article is to propose a model for the measurement of the strength of rhetorical arguments (i.e., threats, rewards, and appeals), which are used in persuasive negotiation dialogues when a proponent agent tries to convince his opponent to accept a proposal. Related articles propose a calculation based on the components of the rhetorical arguments, that is, the importance of the goal of the opponent and the certainty level of the beliefs that make up the argument. Our proposed model is based on the pre-conditions of credibility and preferability stated by Guerini and Castelfranchi. Thus, we suggest the use of two new criteria for the strength calculation: the credibility of the proponent and the status of the goal of the opponent in the goal processing cycle. We use three scenarios in order to illustrate our proposal. Besides, the model is empirically evaluated and the results demonstrate that the proposed model is more efficient than previous works of the state of the art in terms of numbers of negotiation cycles, number of exchanged arguments, and number of reached agreements.

scholarly journals Calculating the Strength of Rhetorical Arguments in Persuasive Negotiation Dialogues

2021 ◽  
Vol 24 (67) ◽  
pp. 36-39
Author(s):  
Mariela Morveli Espinoza
Keyword(s):  
Strength Calculation ◽  
Proposed Model ◽  
The Status ◽  
Certainty Level ◽  
New Criteria ◽  
Processing Cycle

Rhetorical arguments are used in negotiation dialogues when a proponent agent tries to persuade his opponent to accept a proposal more readily. When more than one argument is generated, the proponent must compare them in order to select the most adequate for his interests. A way of comparing them is by means of their strength values. Related work propose a calculation based only on the components of the rhetorical arguments, i.e., the importance of the opponent's goal and the certainty level of the beliefs that make up the argument. This work aims to propose a model for the calculation of the strength of rhetorical arguments, which is inspired on the pre-conditions of credibility and preferability stated by Guerini and Castelfranchi. Thus, we suggest the use of two new criteria to the strength calculation: the credibility of the proponent and the status of the opponent's goal in the goal processing cycle. The model is empirically evaluated and the results demonstrate that the proposed model is more efficient than previous works in terms of number of exchanged arguments and number of reached agreements.

scholarly journals Whom is political science for?

2001 ◽  
Vol 1 ◽  
pp. 4-8
Author(s):  
Andrea Theocharis ◽  
Marcus Graetsch
Keyword(s):  
Everyday Life ◽  
Political Science ◽  
State Of The Art ◽  
Status Quo ◽  
The State ◽  
Research And Teaching ◽  
The Everyday ◽  
The Status ◽  
Internet Discussion

We all study political science, but - what do we actually do here anyway? This essay expresses our thoughts about our subject. The everyday life in University doesn’t seem to give enough space for questioning what is this all about. Maybe a debate on that issue does not exist extensively because of fears of the loss of entitlement. The aim of this essay is to support the heightening of student’s awareness about the status quo of research and teaching in political science as we can judge it from our modest experiences. Trying to get to the basis of such a problem is not easy. The things here written are surely not the state of the art, but they could shine a better light on the problem what had been called the 'politics of political science' in an earlier Internet discussion on the IAPSS website. This paper should be understood as a start for a discussion, where we all can express our surely different experiences and ideas.

Analysis of IT Governance on Spanish Organizations

2010 ◽  
pp. 439-455
Author(s):  
Alberto J. Arroyo ◽  
José D. Carrillo Verdún
Keyword(s):  
Corporate Governance ◽  
State Of The Art ◽  
It Governance ◽  
The State ◽  
Maximum Value ◽  
The Status

Corporate governance is a key element today in organizations and companies. IT Governance, as a part of corporate governance, plays its role in aligning IT with the business and obtaining the maximum value, minimizing the risks. Several frameworks and guidelines have been published in order to set the basis for this discipline. The recent release of the ISO 38500 (ISO 2008) ads an effort to standardize the different elements of IT governance. Despite these efforts, none of the different frameworks or guidelines is focused on the specific characteristics of small and medium companies (SMOs), although the authors consider that their conclusions are universal. Furthermore, there is no research so far that analyzed the status of IT governance in Spanish organizations. The aim of this work is to do a research to identify the state of the art of IT governance in the Spanish small and medium organizations.

scholarly journals Appearance and Motion Enhancement for Video-Based Person Re-Identification

2020 ◽  
Vol 34 (07) ◽  
pp. 11394-11401
Author(s):  
Shuzhao Li ◽  
Huimin Yu ◽  
Haoji Hu
Keyword(s):  
Semantic Information ◽  
State Of The Art ◽  
Complex Model ◽  
The State ◽  
Final Model ◽  
Backbone Network ◽  
Proposed Model ◽  
Art Performance ◽  
Attribute Recognition

In this paper, we propose an Appearance and Motion Enhancement Model (AMEM) for video-based person re-identification to enrich the two kinds of information contained in the backbone network in a more interpretable way. Concretely, human attribute recognition under the supervision of pseudo labels is exploited in an Appearance Enhancement Module (AEM) to help enrich the appearance and semantic information. A Motion Enhancement Module (MEM) is designed to capture the identity-discriminative walking patterns through predicting future frames. Despite a complex model with several auxiliary modules during training, only the backbone model plus two small branches are kept for similarity evaluation which constitute a simple but effective final model. Extensive experiments conducted on three popular video-based person ReID benchmarks demonstrate the effectiveness of our proposed model and the state-of-the-art performance compared with existing methods.

scholarly journals The State of the Art of Traditional Arab Herbal Medicine in the Eastern Region of the Mediterranean: A Review

2006 ◽  
Vol 3 (2) ◽  
pp. 229-235 ◽  
Author(s):  
Hassan Azaizeh ◽  
Bashar Saad ◽  
Khalid Khalil ◽  
Omar Said
Keyword(s):  
Herbal Medicine ◽  
State Of The Art ◽  
Signs And Symptoms ◽  
Underlying Disease ◽  
The State ◽  
Complementary Alternative Medicine ◽  
Eastern Region ◽  
Know How ◽  
The Status ◽  
The Mediterranean

Historical and current studies indicate that the Eastern region of the Mediterranean has been distinguished from other regions by a rich inventory of complementary alternative medicine (CAM), in particular herbal medicine. Data collected from several surveys and studies indicate that there is a flourishing and well-developed trade of herbs. These surveys also reveal that 200–250 herbs are used in treating human diseases and are sold or traded in market places in the Mediterranean region or internationally. In addition, some of these herbs are rare or even endangered species. In regard to the status of the know-how of herbalists, unfortunately, herbal medicine in our region is mostly prescribed by ethnopharmacologists symptomatically—based on signs and symptoms alone, rather than as a result of a full understanding of the underlying disease. In some cases, herbs used today may not even correspond to the plants described originally in the old literature, as the former are cultivated from herbs that went through different breeding procedures throughout several centuries. This article presents a systematic review of both the state of the art of traditional Arab herbal medicine and the status of the know-how of Arab herbalists.

scholarly journals The Oxford Handbook of Psychological Situations

2017 ◽  
Keyword(s):  
State Of The Art ◽  
The State ◽  
Assessment Instruments ◽  
Extensive Review ◽  
Research Areas ◽  
Theoretical Perspectives ◽  
The Status ◽  
One Stop

Even as the acknowledgment that “behavior is a function of an interaction between the person and situation” has attained the status of a truism in psychology, the study of situations has lagged far behind the study of persons. This imbalance has begun to be remedied in recent years, with the development of assessment instruments and new theoretical perspectives for understanding situations. More and more papers are being published, symposia and even entire conferences are being devoted to the interplay of persons and situations, and research is progressing rapidly. This handbook offers an extensive review of the research on psychological situations, providing a one-stop source for readings on the state of the art of theory, methods, findings, and applications in this burgeoning field. The handbook chapters are written by experts in their respective research areas and are conveniently organized along these themes. Bringing together historical reviews, theoretical pieces, methodological descriptions, and empirical applications, this volume is the definitive, go-to source for a psychology of situations.

scholarly journals Digital Archiving for Archaeology: the state of the art in Argentina

2021 ◽  
Author(s):  
Andrés D. Izeta ◽  
Roxana Cattáneo
Keyword(s):  
State Of The Art ◽  
National Level ◽  
Legal Framework ◽  
The State ◽  
Digital Data ◽  
Archaeological Research ◽  
General Evaluation ◽  
Research Infrastructures ◽  
The Status ◽  
The Impact

This article discusses the state-of-the art of digital archives for archaeological research in Argentina. It also presents and characterises the national and international legal framework and the role played by funding agencies and professional bodies in archaeological practice. In addition, it reports how legal corpora regulate the impact on the management of archaeological digital data. Research infrastructures available at the national level are described, such as the Suquía, an institutional digital archive devoted to archaeology since 2016. Finally, we make a general evaluation of the status quo of research infrastructures mostly concerned with preserving and disseminating data from archaeological research at the national level.

The Energy Efficient Engine (E3): Advancing the State of the Art

1980 ◽  
Author(s):  
W. B. Gardner ◽  
D. E. Gray
Keyword(s):  
System Design ◽  
Energy Efficient ◽  
State Of The Art ◽  
The State ◽  
Propulsion System ◽  
Component Technology ◽  
The Status

The NASA sponsored E3 Program, being conducted by Pratt & Witney Aircraft, is described, including program objectives and goals. The evolution of the Flight Propulsion System design and the related work of the aircraft manufacturers is discussed. The status of the component technology substantiation program is summarized.

scholarly journals Depthwise Convolution Is All You Need for Learning Multiple Visual Domains

2019 ◽  
Vol 33 ◽  
pp. 8368-8375 ◽  
Author(s):  
Yunhui Guo ◽  
Yandong Li ◽  
Liqiang Wang ◽  
Tajana Rosing
Keyword(s):  
State Of The Art ◽  
The State ◽  
Spatial Correlations ◽  
Single Model ◽  
Domain Specific ◽  
Gating Mechanism ◽  
Proposed Model ◽  
Domain Learning ◽  
Domain Models ◽  
Universal Structure

There is a growing interest in designing models that can deal with images from different visual domains. If there exists a universal structure in different visual domains that can be captured via a common parameterization, then we can use a single model for all domains rather than one model per domain. A model aware of the relationships between different domains can also be trained to work on new domains with less resources. However, to identify the reusable structure in a model is not easy. In this paper, we propose a multi-domain learning architecture based on depthwise separable convolution. The proposed approach is based on the assumption that images from different domains share cross-channel correlations but have domain-specific spatial correlations. The proposed model is compact and has minimal overhead when being applied to new domains. Additionally, we introduce a gating mechanism to promote soft sharing between different domains. We evaluate our approach on Visual Decathlon Challenge, a benchmark for testing the ability of multi-domain models. The experiments show that our approach can achieve the highest score while only requiring 50% of the parameters compared with the state-of-the-art approaches.

An Enhanced Recurrent Convolutional Neural Network for Predicting the Status Stage of Patients with Chronic obstructive Pulmonary Diseases: Method Design (Preprint)

2021 ◽  
Author(s):  
Wei Li ◽  
Tianyong Hao ◽  
Zhanjie Mai ◽  
Pengjiu Yu ◽  
Chunli Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Real World ◽  
The State ◽  
Disease Stage ◽  
Chronic Obstructive ◽  
Clinical Dataset ◽  
Copd Patients ◽  
Proposed Model ◽  
The Status

BACKGROUND Chronic Obstructive Pulmonary Disease (COPD) is the third leading cause of death in China and has caused serious affect to health and life quality. However, the status stage of a patient is difficult to be accurately assessed because of dynamic changes in the condition and complex risk factors. A rapid and accurate methods to predict disease stage of COPD patients is of great significance. OBJECTIVE This study aims to explore an enhanced recurrent convolutional neural networks model for predicting correct staging of patients with COPD in China for assistant disease prevention and treatment. METHODS Data was collected from The First Affiliate Hospital of Guangzhou Medical University, which had standardized disease registration and follow-up management for 5108 patients with COPD. Our enhanced recurrent convolutional neural network consists of a bidirectional LSTM layer, a convolutional layer, a max-pooling layer, and an output layer. RESULTS The model proposed was evaluated on the real-world clinical dataset of 5108 COPD patients to predict the state stage of the disease. The performance of the proposed model achieved 93.2% in terms of accuracy, outperforming a list of baseline models. CONCLUSIONS This paper proposes an enhanced recurrent convolutional neural network model which is experimented on a real-world clinical dataset containing around 5,000 patients with COPD. The proposed model achieves the best performance on all evaluation metrics indicating its feasibility in predicting the state stage of diseases.

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