Prediction of Corporate Failures for Small and Medium-Sized Enterprises in Europe

2021 ◽  
pp. 223-235
Author(s):  
Marianna Eskantar ◽  
Michalis Doumpos ◽  
Evangelos Grigoroudis ◽  
Constantin Zopounidis
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Management Science ◽  
Bankruptcy Risk ◽  
Large Sample ◽  
Empirical Results ◽  
New Methodologies ◽  
Scientific Fields

The risk of bankruptcy is naturally faced by all corporate organizations, and there are various factors that may lead an organization to bankruptcy, including microeconomic and macroeconomic ones. Many researchers have studied the prediction of business bankruptcy risk in recent decades. However, the research on better tools continues to evolve, utilizing new methodologies from various scientific fields of management science and computer science. This chapter deals with the development of statistical and artificial intelligence methodologies for predicting failures for small and medium-sized enterprises, considering financial and macroeconomic data. Empirical results are presented for a large sample of European firms.

From Decline of the West to Dawn of Day

Janus Head ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 53-66
Author(s):  
Hub Zwart ◽  
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Science And Religion ◽  
Natural Sciences ◽  
The Novel ◽  
Human Beings ◽  
Cultural Significance ◽  
Religion And Science ◽  
The West ◽  
Smart Technologies

This paper subjects Dan Brown’s most recent novel Origin to a philosophical reading. Origin is regarded as a literary window into contemporary technoscience, inviting us to explore its transformative momentum and disruptive impact, focusing on the cultural significance of artificial intelligence and computer science: on the way in which established world-views are challenged by the incessant wave of scientific discoveries made possible by super-computation. While initially focusing on the tension between science and religion, the novel’s attention gradually shifts to the increased dependence of human beings on smart technologies and artificial (or even “synthetic”) intelligence. Origin’s message, I will argue, reverberates with Oswald Spengler’s The Decline of the West, which aims to outline a morphology of world civilizations. Although the novel starts with a series of oppositions, most notably between religion and science, the eventual tendency is towards convergence, synthesis and sublation, exemplified by Sagrada Família as a monumental symptom of this transition. Three instances of convergence will be highlighted, namely the convergence between science and religion, between humanity and technology and between the natural sciences and the humanities.

scholarly journals Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science

2021 ◽  
Vol 12 ◽  
Author(s):  
Kimberly Stowers ◽  
Lisa L. Brady ◽  
Christopher MacLellan ◽  
Ryan Wohleber ◽  
Eduardo Salas
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
The State ◽  
Team Science ◽  
Extant Literature ◽  
State Of The Science

In response to calls for research to improve human-machine teaming (HMT), we present a “perspective” paper that explores techniques from computer science that can enhance machine agents for human-machine teams. As part of this paper, we (1) summarize the state of the science on critical team competencies identified for effective HMT, (2) discuss technological gaps preventing machines from fully realizing these competencies, and (3) identify ways that emerging artificial intelligence (AI) capabilities may address these gaps and enhance performance in HMT. We extend beyond extant literature by incorporating recent technologies and techniques and describing their potential for contributing to the advancement of HMT.

scholarly journals Rancang Bangun Sistem Pakar Diagnosa Penyakit Tanaman Stroberi Menggunakan Metode Certainty Factor Berbasis Web

Repositor ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Nina Mauliana Noor Fajriah ◽  
Yufis Azhar ◽  
Gita Indah Marthasari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computer Science ◽  
Programming Language ◽  
Disease Symptom ◽  
Certainty Factor ◽  
Factor Method ◽  
System Database ◽  
And Behavior

Expert system is one of the AI Development fields. AI (Artificial Intelligence) is part of a computer science which used the computer to imitate the human thoughts and behavior. The usage of a method in Expert System is very important. Thus, the most compatible method to use is the Certainty Factor method. This method is suitable to be used on Expert System to measure things and diagnosed it, will it be very sure or unsure. For example, Expert System to diagnose disease on strawberry plants. This software allows the user to diagnose the disease on strawberry plants before taking a further action. This software is using PHP programming language and store the data using MySQL system database. When the user consulting to the software, the software will show the symptoms of the disease and the user can choose the level of certainty from the chosen disease symptom. The final result from the software is a form which includes the guide of how to take the measurement of the disease based on the chosen symptoms.

scholarly journals A review of Elizabeth Wilson's Affect and artificial intelligence

2020 ◽  
Author(s):  
Tung Manh Ho
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Affective Computing ◽  
Biographical Data ◽  
History Of

Wilson’s book is of great interest to readers of the biographical history of computer science and, more importantly, humanities scholars who would like to explore how emotions influence the works of early pioneers amongst AI theoreticians and engineers. However, I present three areas where the book can improve: engaging with affective computing, acculturation of emotion, and organization of biographical data.

Artificial Intelligence in Education (AIEd): from Applied Problems of Informatization to Studying a Topic in a Computer Science Course

2021 ◽  
pp. 10-24
Author(s):  
N. Samylkina ◽  
A. Salahova
Keyword(s):  
Artificial Intelligence ◽  
General Education ◽  
Computer Science ◽  
Educational Tools ◽  
Artificial Intelligence In Education ◽  
School Computer

The article provides an overview of two main possibilities of using artificial intelligence in education: as new educational tools and as the development of the theoretical and practical foundations of artificial intelligence in the school computer science course. A comparison of approaches to the use in education and the study of artificial intelligence issues at the level of secondary general education in different countries is given. The development of the topic at all levels of general education is considered.

Financial Nexus

2019 ◽  
pp. 70-129
Keyword(s):  
Developing Countries ◽  
Capital Markets ◽  
Banking Sector ◽  
High Impact ◽  
Estimation Techniques ◽  
Large Sample ◽  
Empirical Results ◽  
Time Period ◽  
Bank Soundness

This book chapter investigates the financial nexus generated by bank soundness, concentration, and efficiency in the banking sector, as well as the development of the capital markets. The selected databases includes the time period between 1997 and 2010 for a large sample of 63 developed and developing countries. The empirical findings suggested that bank performance has a high impact on the relation between soundness, structural and functional characteristics of the banking sector. The econometric framework is complex and the empirical results appear to be robust for various measures of the selected variables and for distinct estimation techniques.

Applications of AI in Financial System

2017 ◽  
pp. 101-109
Author(s):  
Santosh Kumar ◽  
Roopali Sharma
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Decision Analysis ◽  
Computer Science ◽  
Investment Decision ◽  
Analysis Tool ◽  
Changing Environment ◽  
Human Interference ◽  
Applications Of Ai

Role of computers are widely accepted and well known in the domain of Finance. Artificial Intelligence(AI) methods are extensively used in field of computer science for providing solution of unpredictable event in a frequent changing environment with utilization of neural network. Professionals are using AI framework into every field for reducing human interference to get better result from few decades. The main objective of the chapter is to point out the techniques of AI utilized in field of finance in broader perspective. The purpose of this chapter is to analyze the background of AI in finance and its role in Finance Market mainly as investment decision analysis tool.

Chapter 34. Stochastic Boolean Satisfiability

2021 ◽  
Author(s):  
Stephen M. Majercik
Keyword(s):  
Artificial Intelligence ◽  
Computational Complexity ◽  
Probabilistic Reasoning ◽  
Broad Class ◽  
Theoretical Perspective ◽  
Boolean Satisfiability ◽  
Probabilistic Planning ◽  
Empirical Results ◽  
Future Work ◽  
Planning Problems

Stochastic satisfiability (SSAT) is an extension of satisfiability (SAT) that merges two important areas of artificial intelligence: logic and probabilistic reasoning. Initially suggested by Papadimitriou, who called it a “game against nature”, SSAT is interesting both from a theoretical perspective–it is complete for PSPACE, an important complexity class–and from a practical perspective–a broad class of probabilistic planning problems can be encoded and solved as SSAT instances. This chapter describes SSAT and its variants, their computational complexity, applications of SSAT, analytical results, algorithms and empirical results, related work, and directions for future work.

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