Finding Cost-Effective Applications for Expert Systems

1993 ◽  
Vol 115 (1) ◽  
pp. 56-61
Author(s):  
P. J. Hartman
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert Systems ◽  
Processing Speed ◽  
Development Process ◽  
Cost Effective ◽  
Risk Assessments ◽  
Problem Complexity ◽  
Practical Application ◽  
The Right

Expert systems are one of the few areas of artificial intelligence which have successfully made the transition from research and development to practical application. The key to fielding a successful expert system is finding the right problem to solve. AI costs, including all the development and testing, are so high that the problems must be very important to justify the effort. This paper develops a systematic way of trying to predict the future. It provides robust decision-making criteria, which can be used to predict the success or failure of proposed expert systems. The methods focus on eliminating obviously unsuitable problems and performing risk assessments and cost evaluations of the program. These assessments include evaluation of need, problem complexity, value, user experience, and the processing speed required. If an application proves feasible, the information generated during the decision phase can be then used to speed the development process.

scholarly journals Implementation of Hardware-Based Expert Systems and Comparison of Their Performance to Software-Based Expert Systems

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 361
Author(s):  
Noah Ritter ◽  
Jeremy Straub
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert Systems ◽  
Iterative Algorithm ◽  
Processing Speed ◽  
Implementation Approach ◽  
Potential Applications ◽  
Decision Making Processes ◽  
Software Implementations ◽  
Software And Hardware

Expert systems are a form of highly understandable artificial intelligence that allow humans to trace the decision-making processes that are used. While they are typically software implemented and use an iterative algorithm for rule-fact network processing, this is not the only possible implementation approach. This paper implements and evaluates the use of hardware-based expert systems. It shows that they work accurately and can be developed to parallel software implementations. It also compares the processing speed of software and hardware-based expert systems, showing that hardware-based systems typically operate two orders of magnitude faster than the software ones. The potential applications that hardware-based expert systems can be used for and the capabilities that they can provide are discussed.

Decision Support Software

2009 ◽  
pp. 440-447
Author(s):  
John Wang ◽  
Huanyu Ouyang ◽  
Chandana Chakraborty
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Mathematical Logic ◽  
Decision Support ◽  
Support Systems ◽  
Scientific Methods ◽  
Simulation And Optimization ◽  
Business Software ◽  
The Right ◽  
Support Software

Throughout the years many have argued about different definitions for DSS; however they have all agreed that in order to succeed in the decision-making process, companies or individuals need to choose the right software that best fits their requirements and demands. The beginning of business software extends back to the early 1950s. Since the early 1970s, the decision support technologies became the most popular and they evolved most rapidly (Shim, Warkentin, Courtney, Power, Sharda, & Carlsson, 2002). With the existence of decision support systems came the creation of decision support software (DSS). Scientists and computer programmers applied analytical and scientific methods for the development of more sophisticated DSS. They used mathematical models and algorithms from such fields of study as artificial intelligence, mathematical simulation and optimization, and concepts of mathematical logic, and so forth.

Artificial Intelligence Inroads Into HR

2022 ◽  
pp. 231-246
Author(s):  
Swati Bansal ◽  
Monica Agarwal ◽  
Deepak Bansal ◽  
Santhi Narayanan
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Human Resources ◽  
Generation Y ◽  
Industry 4.0 ◽  
Career Aspirations ◽  
Work Life ◽  
Human Decision ◽  
The Right ◽  
Talent Acquisition

Artificial intelligence is already here in all facets of work life. Its integration into human resources is a necessary process which has far-reaching benefits. It may have its challenges, but to survive in the current Industry 4.0 environment and prepare for the future Industry 5.0, organisations must penetrate AI into their HR systems. AI can benefit all the functions of HR, starting right from talent acquisition to onboarding and till off-boarding. The importance further increases, keeping in mind the needs and career aspirations of Generation Y and Z entering the workforce. Though employees have apprehensions of privacy and loss of jobs if implemented effectively, AI is the present and future. AI will not make people lose jobs; instead, it would require the HR people to upgrade their skills and spend their time in more strategic roles. In the end, it is the HR who will make the final decisions from the information that they get from the AI tools. A proper mix of human decision-making skills and AI would give organisations the right direction to move forward.

The Main Features of the Law Amending the General Administrative Procedure Act

10.4335/32 ◽  
2009 ◽  
Vol 6 (1) ◽  
pp. 71-86
Author(s):  
Tjaša Ivanc
Keyword(s):  
Decision Making ◽  
Key Words ◽  
Cost Effective ◽  
Effective Procedure ◽  
Legal Regulations ◽  
Administrative Procedure ◽  
Electronic Service ◽  
Administrative Procedures ◽  
The Law ◽  
The Right

The Law Amending the General Administrative Procedure Act refers to a variety of provisions. New solutions should contribute to a more rapid, more efficient and more cost-effective procedure. Primarily due to elimination of the inconsistent use of individual provisions in practice, the amending law regulates more definitely the issues of authorising the persons to manage and make decisions at different decision-making levels in administrative procedures in municipalities. The law also develops electronic operations and it especially amends the electronic service provisions. There is a fairly large number of amendments in the Service Chapter. And an important novelty needs to be emphasized. This is the institute of the waiver of the right to appeal which the General Administrative Procedure Act did not know. However, it is well-known in foreign legal regulations and in the Construction Act adopted in our country. KEY WORDS: • administrative procedure • electronic operations • right to appeal

ARTIFICIAL INTELLIGENCE AND "PREDICTED JUSTICE": FOREIGN EXPERIENCE

Lex Russica ◽  
2019 ◽  
pp. 79-87
Author(s):  
P. N. Biryukov
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Relevant Information ◽  
Final Decision ◽  
Legal Information ◽  
The Right ◽  
Task Interpretation ◽  
Short Time ◽  
Analytical Tools

The paper deals with the problems of application of artificial intelligence (AI) in the field of justice. Present day environment facilitates the use of AI in law. Technology has entered the market. As a result, "predicted justice" has become possible. Once an overview of the possible future process is obtained, it is easier for the professional to complete the task-interpretation and final decision-making (negotiations, litigation). It will take a lot of work to bring AI up to this standard. Legal information should be structured to make it not only readable, but also effective for decision-making. "Predicted justice" can help both the parties to the case and the judges in structuring information, and students and teachers seeking relevant information. The development of information technology has led to increased opportunities for "predicted justice" programs. They take advantage of new digital tools. The focus is on two advantages of the programs: a) improving the quality of services provided; b) simultaneously monitoring the operational costs of the justice system. "Predicted justice" provides algorithms for analyzing a huge number of situations in a short time, allowing you to predict the outcome of a dispute or at least assess the chances of success. It helps: choose the right way of defense, the most suitable arguments, estimate the expected amount of compensation, etc. Thus, it is not about justice itself, but only about analytical tools that would make it possible to predict future decisions in disputes similar to those that have been analyzed.

scholarly journals Organization support for automation of land management projecting in irrigated areas of Uzbekistan

2020 ◽  
Vol 26 (3) ◽  
pp. 317-323
Author(s):  
Allabergan Babajanov ◽  
Khudoyberdi Abdivaitov
Keyword(s):  
Artificial Intelligence ◽  
Expert Systems ◽  
Land Management ◽  
Low Cost ◽  
Cost Effective ◽  
Crop Rotations ◽  
Geographical Information ◽  
Estimation Methods ◽  
Agricultural Enterprises ◽  
Gis Technologies

The article describes in detail the ways in which agricultural enterprises operating in irrigated regions, including farms, create automated systems for the development and implementation of internal land management projects, the use of specialized expert systems based on artificial intelligence in assessing projects and their economic efficiency. Geographical information for the internal organization of farmland, in particular, the design of irrigation plots, crop rotations, forest plantations, field paths and irrigation canals, which are key elements in the territorial arrangement of the proposed sowing areas; ways to create such projects with wide application of GIS technologies in a short amount of time at low cost, as well as promptly eliminate deficiencies identified by expert systems. It is explained that the introduction of expert systems based on artificial intelligence into the practice of projecting of land management is more cost-effective than traditional estimation methods.

scholarly journals Strengthening legal protection against discrimination by algorithms and artificial intelligence

2020 ◽  
Author(s):  
Frederik Zuiderveen Borgesius
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Human Rights ◽  
Data Protection ◽  
Legal Protection ◽  
Indirect Discrimination ◽  
General Rules ◽  
Data Protection Law ◽  
The Right

Algorithmic decision-making and other types of artificial intelligence (AI) can be used to predict who will commit crime, who will be a good employee, who will default on a loan, etc. However, algorithmic decision-making can also threaten human rights, such as the right to non-discrimination. The paper evaluates current legal protection in Europe against discriminatory algorithmic decisions. The paper shows that non-discrimination law, in particular through the concept of indirect discrimination, prohibits many types of algorithmic discrimination. Data protection law could also help to defend people against discrimination. Proper enforcement of non-discrimination law and data protection law could help to protect people. However, the paper shows that both legal instruments have severe weaknesses when applied to artificial intelligence. The paper suggests how enforcement of current rules can be improved. The paper also explores whether additional rules are needed. The paper argues for sector-specific – rather than general – rules, and outlines an approach to regulate algorithmic decision-making.

Decision Support Software

2011 ◽  
pp. 191-196
Author(s):  
John Wang ◽  
Huanyu Ouyang ◽  
Chandana Chakraborty
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Mathematical Logic ◽  
Decision Support ◽  
Support Systems ◽  
Scientific Methods ◽  
Simulation And Optimization ◽  
Business Software ◽  
The Right ◽  
Support Software

Throughout the years many have argued about different definitions for DSS; however they have all agreed that in order to succeed in the decision-making process, companies or individuals need to choose the right software that best fits their requirements and demands. The beginning of business software extends back to the early 1950s. Since the early 1970s, the decision support technologies became the most popular and they evolved most rapidly (Shim, Warkentin, Courtney, Power, Sharda, & Carlsson, 2002). With the existence of decision support systems came the creation of decision support software (DSS). Scientists and computer programmers applied analytical and scientific methods for the development of more sophisticated DSS. They used mathematical models and algorithms from such fields of study as artificial intelligence, mathematical simulation and optimization, and concepts of mathematical logic, and so forth.

The development of oil companies in the light of the evolution of digital platforms

2021 ◽  
pp. 118-127
Author(s):  
A. Bryntsev ◽  
A. Subbotin ◽  
S. Gribanov
Keyword(s):  
Artificial Intelligence ◽  
Expert Systems ◽  
Legal Framework ◽  
Digital Economy ◽  
Practical Application ◽  
Digital Platforms ◽  
Oil Companies ◽  
Conceptual Apparatus

In the article, the authors consider the formation and development of domestic digital platforms for the country's oil companies based on artificial intelligence. A brief analysis of the modern legal framework, which determines the priorities for the formation of the digital economy, is given, and the economic essence of the conceptual apparatus describing AI is revealed. Variants of practical application of expert systems of artificial intelligence are proposed.

Sign in / Sign up

Export Citation Format

Share Document