Semantic Analysis of Bloggers Experiences as a Knowledge Source of Average Human Morality

2015 ◽  
pp. 73-95 ◽  
Author(s):  
Rafal Rzepka ◽  
Kenji Araki
Keyword(s):  
Text Mining ◽  
Knowledge Base ◽  
Real World ◽  
Semantic Analysis ◽  
Experimental Results ◽  
Artificial Agents ◽  
Knowledge Source ◽  
The Real ◽  
Long Run

This chapter introduces an approach and methods for creating a system that refers to human experiences and thoughts about these experiences in order to ethically evaluate other parties', and in a long run, its own actions. It is shown how applying text mining techniques can enrich machine's knowledge about the real world and how this knowledge could be helpful in the difficult realm of moral relativity. Possibilities of simulating empathy and applying proposed methods to various approaches are introduced together with discussion on the possibility of applying growing knowledge base to artificial agents for particular purposes, from simple housework robots to moral advisors, which could refer to millions of different experiences had by people in various cultures. The experimental results show efficiency improvements when compared to previous research and also discuss the problems with fair evaluation of moral and immoral acts.

scholarly journals GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 68
Author(s):  
Lei Shi ◽  
Cosmin Copot ◽  
Steve Vanlanduit
Keyword(s):  
Cognitive Load ◽  
Real World ◽  
Robotic Manipulator ◽  
Similarity Score ◽  
Human Robot Interaction ◽  
Experimental Results ◽  
The Other ◽  
Robot Interaction ◽  
Run Length ◽  
The Real

In gaze-based Human-Robot Interaction (HRI), it is important to determine human visual intention for interacting with robots. One typical HRI interaction scenario is that a human selects an object by gaze and a robotic manipulator will pick up the object. In this work, we propose an approach, GazeEMD, that can be used to detect whether a human is looking at an object for HRI application. We use Earth Mover’s Distance (EMD) to measure the similarity between the hypothetical gazes at objects and the actual gazes. Then, the similarity score is used to determine if the human visual intention is on the object. We compare our approach with a fixation-based method and HitScan with a run length in the scenario of selecting daily objects by gaze. Our experimental results indicate that the GazeEMD approach has higher accuracy and is more robust to noises than the other approaches. Hence, the users can lessen cognitive load by using our approach in the real-world HRI scenario.

scholarly journals From Reality to Perception: Genre-Based Neural Image Style Transfer

2018 ◽  
Author(s):  
Zhuoqi Ma ◽  
Nannan Wang ◽  
Xinbo Gao ◽  
Jie Li
Keyword(s):  
Transfer Process ◽  
Real World ◽  
Experimental Results ◽  
Style Transfer ◽  
The Real ◽  
Design Aspect ◽  
Semantic Correspondence

We introduce a novel thought for integrating artists’ perceptions on the real world into neural image style transfer process. Conventional approaches commonly migrate color or texture patterns from style image to content image, but the underlying design aspect of the artist always get overlooked. We want to address the in-depth genre style, that how artists perceive the real world and express their perceptions in the artwork. We collect a set of Van Gogh’s paintings and cubist artworks, and their semantically corresponding real world photos. We present a novel genre style transfer framework modeled after the mechanism of actual artwork production. The target style representation is reconstructed based on the semantic correspondence between real world photo and painting, which enable the perception guidance in style transfer. The experimental results demonstrate that our method can capture the overall style of a genre or an artist. We hope that this work provides new insight for including artists’ perceptions into neural style transfer process, and helps people to understand the underlying characters of the artist or the genre.

scholarly journals Identifying key actors in an international crisis using dynamic network analysis

2019 ◽  
Vol 1 (2) ◽  
pp. 132-145
Author(s):  
Amira S.N. Tawadros ◽  
Sally Soliman
Keyword(s):  
Network Analysis ◽  
Text Mining ◽  
Real World ◽  
Dynamic Network ◽  
Dynamic Network Analysis ◽  
International Crisis ◽  
Content Type ◽  
The Real ◽  
Syrian Crisis

Purpose The purpose of this study is to examine the extent to which dynamic network analysis (DNA), text mining and natural language processing (NLP) are helpful research tools in identifying the key actors in a complex international crisis. The study uses these tools to identify the key actors in the Syrian crisis as a case study to validate the proposed algorithm. Design/methodology/approach To achieve its main purpose, the study uses a collection of three methodologies, namely, DNA, text mining and NLP. Findings The results of the analysis show four key actors in the Syrian crisis, namely, Russia, the USA, Turkey and China. The results also reveal changes in their powerful positions from 2012 to 2016, which matches the changes that occurred in the real world. The matching between the findings of the proposed algorithm and the real world events that happened in Syria validate our proposed algorithm and proves that the algorithm can be used in identifying the key actors in complex international crises. Originality/value The importance of the study lies in two main points. It proposes a new algorithm that mixes NLP, network extraction from textual unstructured data and DNA to understand and monitor changes occurring in a complex international crisis. It applies the proposed algorithm on the Syrian crisis as a case study to identify the key actors and hence validate the proposed algorithm.

scholarly journals The Finding and Dynamic Detection of Opinion Leaders in Social Network

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Baocheng Huang ◽  
Guang Yu ◽  
Hamid Reza Karimi
Keyword(s):  
Social Network ◽  
Real World ◽  
Structural Characteristics ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Opinion Leaders ◽  
Data Sources ◽  
The Real ◽  
Data Source ◽  
Different Characteristics

It is valuable for the real world to find the opinion leaders. Because different data sources usually have different characteristics, there does not exist a standard algorithm to find and detect the opinion leaders in different data sources. Every data source has its own structural characteristics, and also has its own detection algorithm to find the opinion leaders. Experimental results show the opinion leaders and theirs characteristics can be found among the comments from the Weibo social network of China, which is like Facebook or Twitter in USA.

scholarly journals Minimizing the average arriving distance in carpooling

2020 ◽  
Vol 16 (1) ◽  
pp. 155014771989936
Author(s):  
Tianlu Zhao ◽  
Yongjian Yang ◽  
En Wang
Keyword(s):  
Air Pollution ◽  
Heuristic Algorithm ◽  
Real World ◽  
Traffic Congestion ◽  
Route Planning ◽  
Experimental Results ◽  
Synthetic Dataset ◽  
Passenger Transport ◽  
The Real ◽  
Vehicle Capacity

The massive use of cars in cities brings several problems such as traffic congestion and air pollution. Carpooling is an effective way to reduce the use of cars on the premise of meeting passenger transport needs. However, route planning will influence the efficiency of carpooling. By now, most researches on the route planning of carpooling mainly pay attention to minimizing the total driving distance of cars, but for passengers, the most crucial thing is to get to the destination as soon as possible. And in most cases, the minimum total driving distance of cars does not mean the minimal average arriving distance of all passengers. To address this issue, in this article, we formulate a novel carpooling route calculation problem with the objective of minimizing the average arriving distance of all passengers in carpooling. Then, we prove that this problem is NP-hard. To solve this problem, for the situation that the vehicle capacity is sufficient to deliver all passengers, we propose a heuristic algorithm named SimilarDirection with [Formula: see text] approximation ratio in delivery order calculation phase, where [Formula: see text] is the capacity of each vehicle. For the situation that the vehicle capacity is insufficient, we provide three algorithms named DelFar, Unchanged, and DelRan. Experimental results show that our SimilarDirection algorithm can produce less average arriving distance of all passengers than other three contrast algorithms in both the real-world dataset experiments and the synthetic dataset experiments, and DelFar has the best performance in producing less average arriving distance when the vehicle capacity is insufficient.

scholarly journals Dilemmas of an Economic Theorist

2008 ◽  
pp. 62-80 ◽  
Author(s):  
Ar. Rubinstein
Keyword(s):  
Real World ◽  
Experimental Results ◽  
The Real ◽  
The Right

The paper discusses four dilemmas encountered by an economic theorist. The dilemma of absurd conclusions: should we abandon a model if it produces absurd conclusions or should we regard a model as a very limited set of assumptions that will inevitably fail in some contexts? The dilemma of responding to evidence: should our models be judged according to experimental results? The dilemma of modelless regularities: should models provide the hypothesis for testing or are they simply exercises in logic that have no use in identifying regularities? The dilemma of relevance: do economists have the right to offer advice or to make statements that are intended to influence the real world?

scholarly journals Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kia Dashtipour ◽  
Mandar Gogate ◽  
Alexander Gelbukh ◽  
Amir Hussain
Keyword(s):  
Sentiment Analysis ◽  
Real World ◽  
English Translation ◽  
Opinion Mining ◽  
Experimental Results ◽  
Extended Version ◽  
The Real ◽  
Persian Language ◽  
Sentiment Lexicon ◽  
Idiomatic Expressions

AbstractNowadays, it is important for buyers to know other customer opinions to make informed decisions on buying a product or service. In addition, companies and organizations can exploit customer opinions to improve their products and services. However, the Quintilian bytes of the opinions generated every day cannot be manually read and summarized. Sentiment analysis and opinion mining techniques offer a solution to automatically classify and summarize user opinions. However, current sentiment analysis research is mostly focused on English, with much fewer resources available for other languages like Persian. In our previous work, we developed PerSent, a publicly available sentiment lexicon to facilitate lexicon-based sentiment analysis of texts in the Persian language. However, PerSent-based sentiment analysis approach fails to classify the real-world sentences consisting of idiomatic expressions. Therefore, in this paper, we describe an extension of the PerSent lexicon with more than 1000 idiomatic expressions, along with their polarity, and propose an algorithm to accurately classify Persian text. Comparative experimental results reveal the usefulness of the extended lexicon for sentiment analysis as compared to PerSent lexicon-based sentiment analysis as well as Persian-to-English translation-based approaches. The extended version of the lexicon will be made publicly available.

Development of Wheel Chair With Center Articulated Body and Autonomous Control System

2015 ◽  
Author(s):  
Yoshihiro Takita ◽  
Shinya Ohkawa ◽  
Hisashi Date
Keyword(s):  
Control System ◽  
Real World ◽  
Autonomous System ◽  
Autonomous Control ◽  
Experimental Results ◽  
The Real ◽  
System A ◽  
Wheel Chair ◽  
3D Lidar ◽  
Mobile Base

Our research object is to develop a wheel chair that is able to climb up and down stairs. Conventional wheel chairs use a parallel two-wheel type mobile base that is effective for moving on even surfaces but has limited clearance, posing difficulties in climbing over obstacles. In IROS2014, authors proposed and demonstrated an Octal Wheel unit that has 8 wheels with link-mechanisms and is able to climb up and down stairs. This robot is just a prototype to show the effectiveness of the mechanism. This research has begun to develop an AR chair that is able to carry a passenger, move autonomously, and climb up and down stairs. The first step of the AR chair project is to develop and construct a wheel chair with a center articulated body. The 8-wheel mechanism is applied to the AR chair model after the construction of an autonomous system. A control system with 3D LIDAR was installed on the prototype and it autonomously moved 1.4km in the Real World Robotics Challenge (RWRC) 2014 in Tsukuba on the official pedestrian road. Experimental results demonstrate the effectiveness of this method.

scholarly journals Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Ye Lu ◽  
Ke-dong Zhou ◽  
Peng-han Gong ◽  
Bing Li
Keyword(s):  
Wavelet Transform ◽  
Real World ◽  
Background Noise ◽  
Noise Suppression ◽  
Experimental Results ◽  
Testing System ◽  
The Real

Wavelet transform is one of the most desirable tools for depressing noise. However, the traditional linear wavelets are not always suitable for any real world signals with strong background noises. In this work, we present a new morphological wavelet, named averaged dilation-erosion morphological wavelet (ADEMW), for depressing the noise in signals of firing shock force on the shoulder. Simulated signals with different SNRs are generated to evaluate and compare the proposed new wavelet scheme with the traditional linear wavelet and another two morphological wavelets presented in literature. Experimental results reveal that the presented ADEMW gives the most promising noise suppression performance. Then, the ADEMW is employed to process the real-world signals acquired from a firing shock force testing system. Processing results demonstrate that the ADEMW also outperforms another three wavelets obviously for depressing the strong background noise in the signals of firing shock force on the shoulder. The main impulsive components in the firing shock force can be clearly detected for analyzing the impacts on shoulder during the shooting process. The presented ADEMW scheme has provided a novel desirable tool for analyzing the complicated signals with strong noise.

scholarly journals Development of an Effective Information Media Using Two Android Robots

2019 ◽  
Vol 9 (17) ◽  
pp. 3442 ◽  
Author(s):  
Toshiaki Nishio ◽  
Yuichiro Yoshikawa ◽  
Kohei Ogawa ◽  
Hiroshi Ishiguro
Keyword(s):  
Real World ◽  
Recall Test ◽  
Empathic Concern ◽  
Experimental Results ◽  
Multiple Robots ◽  
The Real ◽  
Objective Information ◽  
Subjective Information ◽  
Subjective Experiment ◽  
Information Media

Conversational robots have been used to convey information to people in the real world. Android robots, which have a human-like appearance, are expected to be able to convey not only objective information but also subjective information, such as a robot’s feelings. Meanwhile, as an approach to realize attractive conversation, multi-party conversation by multiple robots was the focus of this study. By collaborating among several robots, the robots provide information while maintaining the naturalness of conversation. However, the effectiveness of interaction with people has not been surveyed using this method. In this paper, to develop more efficient media to convey information, we propose a scenario-based, semi-passive conversation system using two androids. To verify its effectiveness, we conducted a subjective experiment comparing it to a system that does not include any interaction with people, and we investigated how much information the proposed system successfully conveys by using a recall test and a questionnaire about the conversation and androids. The experimental results showed that participants who engaged with the proposed system recalled more content from the conversation and felt more empathic concern for androids.

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