scholarly journals Goal Reasoning: Foundations, Emerging Applications, and Prospects

AI Magazine ◽  
2018 ◽  
Vol 39 (2) ◽  
pp. 3-24 ◽  
Author(s):  
David W. Aha
Keyword(s):  
Research And Development ◽  
Intelligent Agents ◽  
Autonomous Systems ◽  
Future Research ◽  
Research Directions ◽  
Bright Future ◽  
Future Research Directions ◽  
Goal Reasoning ◽  
Ai Safety

Goal reasoning (GR) has a bright future as a foundation for the research and development of intelligent agents. GR is the study of agents that can deliberate on and self-select their goals/objectives, which is a desirable capability for some applications of deliberative autonomy. While studied in diverse AI sub-communities for multiple applications, our group has focused on how GR can play a key role for controlling autonomous systems. Thus, its importance is rapidly growing and it merits increased attention, particularly from the perspective of research on AI safety. In this article, I introduce GR, briefly relate it to other AI topics, summarize some of our group’s work on GR foundations and emerging applications, and describe some current and future research directions.

Methods and Techniques of Data Mining

2021 ◽  
pp. 749-767
Author(s):  
Ana Funes ◽  
Aristides Dasso
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Research And Development ◽  
Knowledge Acquisition ◽  
Future Research ◽  
Research Directions ◽  
New Methods ◽  
Methods And Techniques ◽  
Future Research Directions

Nowadays, there is an increasing number of applications where artificial intelligence has fuelled the research and development of new methods, techniques, and tools related to knowledge acquisition and data mining. The development of data mining and other related disciplines has benefited from the existence of large volumes of data proceeding from the most diverse sources and domains. KDD process and methods of data mining allows for the discovery of knowledge in data that is hidden to humans, presenting this knowledge under different ways. In this chapter, the relation of data mining with other disciplines is analyzed, an overview of data mining tasks and methods is presented, and also a possible classification of them is given. Finally, a brief discussion on issues associated to the discipline and future research directions are also given.

scholarly journals Smart Education: A Review and Future Research Directions

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 57 ◽  
Author(s):  
Adrián Martín ◽  
Carlos Alario-Hoyos ◽  
Carlos Kloos
Keyword(s):  
Literature Review ◽  
Research And Development ◽  
Systematic Literature Review ◽  
Educational Technologies ◽  
Future Research ◽  
Formal Definition ◽  
Research Directions ◽  
New Developments ◽  
Smart Education ◽  
Future Research Directions

Research and development often move forward based on buzzwords. New terms are coined to summarize new developments, often with several interpretations and without a formal definition. The term Smart Education has been coined to represent a move forward in technology-enhanced education, but what is behind it? Does it represent something essentially different from the educational technologies used before? In this paper, we do a systematic literature review to understand how this term is used, what the technologies behind it are, and what promises are made. We conclude that although the term is fuzzy, there are indeed several developments available today that can make educational technologies much more adapted to the learner and therefore underpin the learning in a smarter way.

Review of Product Information Retrieval: Representation and Indexing

2004 ◽  
Author(s):  
Zhanjun Li ◽  
Min Liu ◽  
Karthik Ramani
Keyword(s):  
Information Retrieval ◽  
Research And Development ◽  
Product Information ◽  
Future Research ◽  
Research Directions ◽  
Current State ◽  
Design And Manufacturing ◽  
Future Research Directions ◽  
State Of Research ◽  
The Right

Engineers spend a significant amount of time searching for the right product information during the design and manufacturing process. A large amount as well as various types of product information have been generated and are available within the engineering databases. But representing and indexing the products effectively and retrieving them efficiently, remains a challenge. The purpose of this survey is to document the current state of research and development. We then identify avenues for exploration and provide a comparison of the advantages, disadvantages, and limitations among the various techniques. This survey concludes by suggesting possible future research directions.

scholarly journals Flavonoids: an overview

2016 ◽  
Vol 5 ◽  
Author(s):  
A. N. Panche ◽  
A. D. Diwan ◽  
S. R. Chandra
Keyword(s):  
Research And Development ◽  
Future Research ◽  
Research Directions ◽  
Beneficial Effects ◽  
Natural Substances ◽  
Current Trends ◽  
Potential Applications ◽  
Future Research Directions ◽  
Derivatives Of ◽  
Working Mechanisms

AbstractFlavonoids, a group of natural substances with variable phenolic structures, are found in fruits, vegetables, grains, bark, roots, stems, flowers, tea and wine. These natural products are well known for their beneficial effects on health and efforts are being made to isolate the ingredients so called flavonoids. Flavonoids are now considered as an indispensable component in a variety of nutraceutical, pharmaceutical, medicinal and cosmetic applications. This is attributed to their anti-oxidative, anti-inflammatory, anti-mutagenic and anti-carcinogenic properties coupled with their capacity to modulate key cellular enzyme function. Research on flavonoids received an added impulse with the discovery of the low cardiovascular mortality rate and also prevention of CHD. Information on the working mechanisms of flavonoids is still not understood properly. However, it has widely been known for centuries that derivatives of plant origin possess a broad spectrum of biological activity. Current trends of research and development activities on flavonoids relate to isolation, identification, characterisation and functions of flavonoids and finally their applications on health benefits. Molecular docking and knowledge of bioinformatics are also being used to predict potential applications and manufacturing by industry. In the present review, attempts have been made to discuss the current trends of research and development on flavonoids, working mechanisms of flavonoids, flavonoid functions and applications, prediction of flavonoids as potential drugs in preventing chronic diseases and future research directions.

Research and development investment strategy and market performance

2010 ◽  
Vol 38 (2) ◽  
pp. 227-236
Author(s):  
Tsung-Chi Liu ◽  
Yi-Jen Chen
Keyword(s):  
Research And Development ◽  
Business Strategy ◽  
Market Performance ◽  
Investment Strategy ◽  
Future Research ◽  
Research Directions ◽  
Managerial Implications ◽  
High Investment ◽  
Future Research Directions ◽  
The Government

In this study, we aimed to analyze research and development (R&D) business strategy with regard to investment funded by the government or by the business itself in relation to market performance. Because these 2 types of subsidized and nonsubsidized R&D may have important implications for market performance, it is worth considering their differences. In this paper empirical evidence is provided of the relationships among government-funded R&D, private enterprise-funded R&D, and market performance in innovation projects. Regression analysis was used to test the hypotheses using a sample of 500 projects. The results indicate that market performance of businesses that fund their own R&D is statistically and significantly greater than that of high investment by government in R&D. Finally, managerial implications and possible future research directions are discussed.

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