Automatic Story Generation

2021 ◽  
Vol 54 (5) ◽  
pp. 1-38
Author(s):  
Arwa I. Alhussain ◽  
Aqil M. Azmi
Keyword(s):  
Artificial Intelligence ◽  
Automatic Generation ◽  
Evaluation Methods ◽  
Extensive Study ◽  
Computational Creativity ◽  
Story Generation ◽  
To Receive ◽  
Shed Light

Computational generation of stories is a subfield of computational creativity where artificial intelligence and psychology intersect to teach computers how to mimic humans’ creativity. It helps generate many stories with minimum effort and customize the stories for the users’ education and entertainment needs. Although the automatic generation of stories started to receive attention many decades ago, advances in this field to date are less than expected and suffer from many limitations. This survey presents an extensive study of research in the area of non-interactive textual story generation, as well as covering resources, corpora, and evaluation methods that have been used in those studies. It also shed light on factors of story interestingness.

Predicting Graceful Extensibility of Human-Machine Systems: A New Analysis Method for Evaluating Extensibility Plots to Anticipate Distributed System Performance

2020 ◽  
Vol 64 (1) ◽  
pp. 313-318
Author(s):  
Dane A. Morey ◽  
Jesse M. Marquisee ◽  
Ryan C. Gifford ◽  
Morgan C. Fitzgerald ◽  
Michael F. Rayo
Keyword(s):  
Artificial Intelligence ◽  
Distributed System ◽  
System Performance ◽  
Healthcare Setting ◽  
Evaluation Methods ◽  
Performance Data ◽  
Analysis Method ◽  
Machine System ◽  
Machine Systems

With all of the research and investment dedicated to artificial intelligence and other automation technologies, there is a paucity of evaluation methods for how these technologies integrate into effective joint human-machine teams. Current evaluation methods, which largely were designed to measure performance of discrete representative tasks, provide little information about how the system will perform when operating outside the bounds of the evaluation. We are exploring a method of generating Extensibility Plots, which predicts the ability of the human-machine system to respond to classes of challenges at intensities both within and outside of what was tested. In this paper we test and explore the method, using performance data collected from a healthcare setting in which a machine and nurse jointly detect signs of patient decompensation. We explore the validity and usefulness of these curves to predict the graceful extensibility of the system.

Automated Text Simplification

2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Suha S. Al-Thanyyan ◽  
Aqil M. Azmi
Keyword(s):  
Reading Comprehension ◽  
Information Content ◽  
Evaluation Methods ◽  
Extensive Study ◽  
Low Literacy ◽  
Essential Tool ◽  
Text Simplification ◽  
Over Time ◽  
Original Information ◽  
Research Studies

Text simplification (TS) reduces the complexity of the text to improve its readability and understandability, while possibly retaining its original information content. Over time, TS has become an essential tool in helping those with low literacy levels, non-native learners, and those struggling with various types of reading comprehension problems. In addition, it is used in a preprocessing stage to enhance other NLP tasks. This survey presents an extensive study of current research studies in the field of TS, as well as covering resources, corpora, and evaluation methods that have been used in those studies.

scholarly journals Software Testing: Issues and Challenges of Artificial Intelligence & Machine Learning

2021 ◽  
Vol 12 (1) ◽  
pp. 101-112
Author(s):  
Kishore Sugali ◽  
Chris Sprunger ◽  
Venkata N Inukollu
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Software Testing ◽  
Future Research ◽  
Critical Component ◽  
Development Methodology ◽  
Testing Strategies ◽  
History Of ◽  
Shed Light ◽  
The Way

The history of Artificial Intelligence and Machine Learning dates back to 1950’s. In recent years, there has been an increase in popularity for applications that implement AI and ML technology. As with traditional development, software testing is a critical component of an efficient AI/ML application. However, the approach to development methodology used in AI/ML varies significantly from traditional development. Owing to these variations, numerous software testing challenges occur. This paper aims to recognize and to explain some of the biggest challenges that software testers face in dealing with AI/ML applications. For future research, this study has key implications. Each of the challenges outlined in this paper is ideal for further investigation and has great potential to shed light on the way to more productive software testing strategies and methodologies that can be applied to AI/ML applications.

scholarly journals Artificial intelligence and copyright

2021 ◽  
pp. 15-22
Author(s):  
Daryna Prylypko
Keyword(s):  
Artificial Intelligence ◽  
Computer Program ◽  
Key Words ◽  
Automatic Generation ◽  
The Other ◽  
International Level ◽  
Human Agent ◽  
Foreign Countries ◽  
The One ◽  
Justice Practice

Key words: copyright, work, artificial intelligence, computer program In the article, the problemsof legislation of Ukraine regarding the issues of copyright on works created due to artificialintelligence were analyzed. Particularly, who is the owner of copyright ofworks created due to artificial intelligence. On the one hand, it could be a developer ofa computer program, from the other hand, it could be a client or an employer. Because,it could happen that there is a situation when robots created something newand original, e.g., how it happened with the project “New Rembrandt”. In this case,computers created a unique portrait of Rembrandt. And here is a question, where isin this portrait original and intellectual works of developers of these computers andprograms. In the contrast, this portrait could be created without people who developedspecial machines, programs, and computers. The article’s author proposes to addinto Ukrainian legislation with following norm: the owner of the copyright createddue to artificial intelligence should be a natural person who uses artificial intelligencefor these purposes within the official relationship or on the basis of a contract. In caseof automatic generation of such work by artificial intelligence, the owner of copyrightshould be the developer.Also, another question arises, particularly, who will be responsible for the damagecaused by the artificial intelligence. As an example, of the solution for this issue Resolution2015/2103 (INL) was given, where is mentioned that human agent could be responsiblefor the caused damage. Because, it is not always a developer is responsiblefor the damage.Also, the legislation and justice practice of foreign countries was explored. Theways of overcoming mentioned problems in legislation of Ukraine were proposed.Such as changing our legislation and giving the exact explanation in who is the ownerof copyright on works created due to artificial intelligence and in which cases this personcould become an owner of the copyright. However, probably, these issues shouldbe resolved at international level regarding globalization.

Epilogue Connecting to Muhammad?

2013 ◽  
Author(s):  
Fergus Millar
Keyword(s):  
Life History ◽  
Social History ◽  
North Africa ◽  
Near East ◽  
Religious Affiliation ◽  
Roman Provinces ◽  
History Of ◽  
To Receive ◽  
Shed Light ◽  
Roman Near East

This epilogue examines various strands of social history, religious affiliation and language in the Roman Near East in relation to the beginning of Muhammad's preaching in about 610. Muhammad was born, probably in about 570, in Mecca, where he began to receive divinely inspired messages in Arabic. After he died, Muhammad's followers invaded the nearest Roman provinces and conquered all of the Roman Near East, the Sasanid empire, Egypt and Roman North Africa. These are known as ‘the great Arab conquests’. This chapter considers whether the Arabian Peninsula can be properly treated under the title of ‘Arabia and the Arabs’. It also analyses evidence from the Mediterranean and Mesopotamian Near East, as well as the kingdom of Himyar. Finally, it looks at brief allusions to the life-history of Muhammad in a number of Christian sources to shed light on his preaching.

A Comprehensive Study on Internet of Things Based on Key Artificial Intelligence Technologies and Industry 4.0

2021 ◽  
pp. 171-191
Author(s):  
Banu Çalış Uslu ◽  
Seniye Ümit Oktay Fırat
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Information Exchange ◽  
Industry 4.0 ◽  
New Technology ◽  
Smart Devices ◽  
Complex Environments ◽  
Novel Approach ◽  
Key Technologies ◽  
Shed Light

Under uncertainty, understanding and controlling complex environments is only possible with an ability to use distributed computing by the way of information exchange between devices to be able to understand the response of the system to a particular problem. From transformation of raw data in a huge distribution of network into the meaningful information, to use the understood knowledge to make rapid decisions needs to have a network composed of smart devices. Internet of things (IoT) is a novel approach, where these smart devices can communicate with each other by using key technologies of artificial intelligence (AI) in order to make timely autonomous decisions. This emerging technical advancement and realization of horizontal and vertical integration caused the fourth stage of industrialization (Industry 4.0). The objective of this chapter is to give detailed information on both IoT based on key AI technologies and Industry 4.0. It is expected to shed light on new work to be done by providing explanations about the new areas that will emerge with this new technology.

Exploring the Role of AI in K12

2021 ◽  
pp. 120-135
Author(s):  
Syed Far Abid Hossain ◽  
Mohammad Nurunnabi ◽  
Armana Hakim Nadi ◽  
Al Mahmud Hasan ◽  
Faiza Tanaz Ahsan
Keyword(s):  
Artificial Intelligence ◽  
Focus Group ◽  
Traditional Method ◽  
Teaching And Learning ◽  
Focus Group Interview ◽  
Mixed Methodology ◽  
Group Interview ◽  
Market Turbulence ◽  
Shed Light

The purpose of this chapter is to discover the role of artificial intelligence (AI) in K12. How AI, in particular robot teachers, are taking over online learning is the key objective of this study. A focus group interview was conducted online to measure the phenomenon. Findings from focus group interview indicated that the traditional method of teaching and learning had been changed dramatically due to numerous reasons, especially due to market turbulence like COVID-19. As a result, the role of AI in K12 received massive attention in society. The study contained a limited number of respondents that may affect the generalizability of the study. Future studies with mixed methodology may shed light on the undiscovered phenomenon of AI in the context of K12.

scholarly journals Demystifying Social Bots: On the Intelligence of Automated Social Media Actors

2020 ◽  
Vol 6 (3) ◽  
pp. 205630512093926 ◽  
Author(s):  
Dennis Assenmacher ◽  
Lena Clever ◽  
Lena Frischlich ◽  
Thorsten Quandt ◽  
Heike Trautmann ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Public Opinion ◽  
Research Effort ◽  
Online Media ◽  
Social Media Platforms ◽  
New Perspective ◽  
High Degree ◽  
Supportive Nature ◽  
Shed Light

Recently, social bots, (semi-) automatized accounts in social media, gained global attention in the context of public opinion manipulation. Dystopian scenarios like the malicious amplification of topics, the spreading of disinformation, and the manipulation of elections through “opinion machines” created headlines around the globe. As a consequence, much research effort has been put into the classification and detection of social bots. Yet, it is still unclear how easy an average online media user can purchase social bots, which platforms they target, where they originate from, and how sophisticated these bots are. This work provides a much needed new perspective on these questions. By providing insights into the markets of social bots in the clearnet and darknet as well as an exhaustive analysis of freely available software tools for automation during the last decade, we shed light on the availability and capabilities of automated profiles in social media platforms. Our results confirm the increasing importance of social bot technology but also uncover an as yet unknown discrepancy of theoretical and practically achieved artificial intelligence in social bots: while literature reports on a high degree of intelligence for chat bots and assumes the same for social bots, the observed degree of intelligence in social bot implementations is limited. In fact, the overwhelming majority of available services and software are of supportive nature and merely provide modules of automation instead of fully fledged “intelligent” social bots.

scholarly journals Do Crash Barriers and Fences Have an Impact on Wildlife–Vehicle Collisions?—An Artificial Intelligence and GIS-Based Analysis

2019 ◽  
Vol 8 (2) ◽  
pp. 66 ◽  
Author(s):  
Raphaela Pagany ◽  
Wolfgang Dorner
Keyword(s):  
Artificial Intelligence ◽  
Individual Species ◽  
Road Mortality ◽  
Sample Number ◽  
Vehicle Collisions ◽  
Risk Warning ◽  
Alternative Measures ◽  
Road Inspection ◽  
The Impact ◽  
To Receive

Wildlife–vehicle collisions (WVCs) cause significant road mortality of wildlife and have led to the installation of protective measures along streets. Until now, it has been difficult to determine the impact of roadside infrastructure that might act as a barrier for animals. The main deficits are the lack of geodata for roadside infrastructure and georeferenced accidents recorded for a larger area. We analyzed 113 km of road network of the district Freyung-Grafenau, Germany, and 1571 WVCs, examining correlations between the appearance of WVCs, the presence or absence of roadside infrastructure, particularly crash barriers and fences, and the relevance of the blocking effect for individual species. To receive infrastructure data on a larger scale, we analyzed 5596 road inspection images with a neural network for barrier recognition and a GIS for a complete spatial inventory. This data was combined with the data of WVCs in GIS to evaluate the infrastructure’s impact on accidents. The results show that crash barriers have an effect on WVCs, as collisions are lower on roads with crash barriers. In particular, smaller animals have a lower collision share. The risk reduction at fenced sections could not be proven as fenced sections are only available at 3% of the analyzed roads. Thus, especially the fence dataset must be validated by a larger sample number. However, these preliminary results indicate that the combination of artificial intelligence and GIS may be used to analyze and better allocate protective barriers or to apply it in alternative measures, such as dynamic WVC risk-warning.

The Associations Between Computational Thinking and Creativity: The Role of Personal Characteristics

2020 ◽  
Vol 58 (8) ◽  
pp. 1415-1447 ◽  
Author(s):  
Rotem Israel-Fishelson ◽  
Arnon Hershkovitz ◽  
Andoni Eguíluz ◽  
Pablo Garaizar ◽  
Mariluz Guenaga
Keyword(s):  
Creative Thinking ◽  
Computational Thinking ◽  
Personal Characteristics ◽  
Computational Creativity ◽  
Game Based Learning ◽  
School Students ◽  
Log Files ◽  
The Relationship ◽  
Shed Light

Computational Thinking (CT) and creativity are considered two vital skills for the 21st century that should be incorporated into future curricula around the world. We studied the relationship between these two constructs while focusing on learners’ personal characteristics. Two types of creativity were examined: creative thinking and computational creativity. The research was conducted among 174 middle school students from Spain. Data collected using a standardized creativity test (Torrance's TTCT) were triangulated with data drawn from students' log files that documented their activity in a game-based learning environment for CT (Kodetu). We found some interesting associations between CT and the two constructs of creativity. These associations shed light on positive associations between each of the two creativity constructs and CT acquisition, as well as between the two creativity constructs themselves. Additionally, we highlight differences between boys and girls, as girls were found to be more creative on both creativity measures. Other differences associated with school affiliation, prior coding knowledge, and technology affinity are also discussed.

Sign in / Sign up

Export Citation Format

Share Document