scholarly journals Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making

2021 ◽  
Vol 11 (2) ◽  
pp. 1-49
Author(s):  
Yolanda Gil ◽  
Daniel Garijo ◽  
Deborah Khider ◽  
Craig A. Knoblock ◽  
Varun Ratnakar ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Complex Systems ◽  
Crop Production ◽  
Preventive Measures ◽  
Agricultural Practices ◽  
Third Party ◽  
Significant Heterogeneity ◽  
Modeling Framework ◽  
Expert Models

Major societal and environmental challenges involve complex systems that have diverse multi-scale interacting processes. Consider, for example, how droughts and water reserves affect crop production and how agriculture and industrial needs affect water quality and availability. Preventive measures, such as delaying planting dates and adopting new agricultural practices in response to changing weather patterns, can reduce the damage caused by natural processes. Understanding how these natural and human processes affect one another allows forecasting the effects of undesirable situations and study interventions to take preventive measures. For many of these processes, there are expert models that incorporate state-of-the-art theories and knowledge to quantify a system's response to a diversity of conditions. A major challenge for efficient modeling is the diversity of modeling approaches across disciplines and the wide variety of data sources available only in formats that require complex conversions. Using expert models for particular problems requires integration of models with third-party data as well as integration of models across disciplines. Modelers face significant heterogeneity that requires resolving semantic, spatiotemporal, and execution mismatches, which are largely done by hand today and may take more than 2 years of effort. We are developing a modeling framework that uses artificial intelligence (AI) techniques to reduce modeling effort while ensuring utility for decision making. Our work to date makes several innovative contributions: (1) an intelligent user interface that guides analysts to frame their modeling problem and assists them by suggesting relevant choices and automating steps along the way; (2) semantic metadata for models, including their modeling variables and constraints, that ensures model relevance and proper use for a given decision-making problem; and (3) semantic representations of datasets in terms of modeling variables that enable automated data selection and data transformations. This framework is implemented in the MINT (Model INTegration) framework, and currently includes data and models to analyze the interactions between natural and human systems involving climate, water availability, agricultural production, and markets. Our work to date demonstrates the utility of AI techniques to accelerate modeling to support decision-making and uncovers several challenging directions for future work.

scholarly journals Sistem Cerdas Permainan Papan The Battle Of Honor dengan Decision Making dan Machine Learning

2021 ◽  
Vol 12 (2) ◽  
pp. 136
Author(s):  
Arnan Dwika Diasmara ◽  
Aditya Wikan Mahastama ◽  
Antonius Rachmat Chrismanto
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Intelligent System ◽  
Third Party ◽  
Case Based Reasoning ◽  
Board Game ◽  
Rule Based ◽  
Case Based ◽  
Rule Based Systems

Abstract. Intelligent System of the Battle of Honor Board Game with Decision Making and Machine Learning. The Battle of Honor is a board game where 2 players face each other to bring down their opponent's flag. This game requires a third party to act as the referee because the players cannot see each other's pawns during the game. The solution to this is to implement Rule-Based Systems (RBS) on a system developed with Unity to support the referee's role in making decisions based on the rules of the game. Researchers also develop Artificial Intelligence (AI) as opposed to applying Case-Based reasoning (CBR). The application of CBR is supported by the nearest neighbor algorithm to find cases that have a high degree of similarity. In the basic test, the results of the CBR test were obtained with the highest formulated accuracy of the 3 examiners, namely 97.101%. In testing the AI scenario as a referee, it is analyzed through colliding pieces and gives the right decision in determining victoryKeywords: The Battle of Honor, CBR, RBS, unity, AIAbstrak. The Battle of Honor merupakan permainan papan dimana 2 pemain saling berhadapan untuk menjatuhkan bendera lawannya. Permainan ini membutuhkan pihak ketiga yang berperan sebagai wasit karena pemain yang saling berhadapan tidak dapat saling melihat bidak lawannya. Solusi dari hal tersebut yaitu mengimplementasikan Rule-Based Systems (RBS) pada sistem yang dikembangkan dengan Unity untuk mendukung peran wasit dalam memberikan keputusan berdasarkan aturan permainan. Peneliti juga mengembangkan Artificial Intelligence (AI) sebagai lawan dengan menerapkan Case-Based reasoning (CBR). Penerapan CBR didukung dengan algoritma nearest neighbour untuk mencari kasus yang memiliki tingkat kemiripan yang tinggi. Pada pengujian dasar didapatkan hasil uji CBR dengan accuracy yang dirumuskan tertinggi dari 3 penguji yaitu 97,101%. Pada pengujian skenario AI sebagai wasit dianalisis lewat bidak yang bertabrakan dan memberikan keputusan yang tepat dalam menentukan kemenangan.Kata Kunci: The Battle of Honor, CBR, RBS, unity, AI

scholarly journals Precision crop production and artificial intelligence – the future of sustainable agriculture

2018 ◽  
pp. 47-58
Author(s):  
Miklós Neményi
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Sustainable Agriculture ◽  
Crop Production ◽  
Alternative Solution ◽  
Basic Question ◽  
Decision Making Process ◽  
The Future

According to Kay et al. (2004, in Shockley et al., 2017), there are seven steps to the decision-making process: 1) Identify the problem or opportunity, 2) Identify the alternative solution, 3) Collect all data and information, 4) Analyse the alternatives and make a decision, 5) Implement the decision, 6) Monitor the results of the decision, 7) Accept responsibility for the decision. The basic question is what kind of tasks we can perform in the decision-making process and what to leave for Artificial Intelligence (AI).

scholarly journals MATHEMATICAL MODELLING OF DISPUTE PROCEEDINGS BETWEEN INVESTORS AND THIRD PARTIES ON ALLEGEDLY VIOLATED THIRD-PARTY RIGHTS / GINČO PROCESO TARP INVESTUOTOJŲ IR TREČIEJŲ ASMENŲ DĖL GALIMAI PAŽEISTŲ TREČIEJŲ ASMENŲ TEISIŲ MATEMATINIS MODELIAVIMAS

2011 ◽  
Vol 17 (1) ◽  
pp. 126-136 ◽  
Author(s):  
Olga Regina Šostak ◽  
Sigutė Vakrinienė
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Risk Factor ◽  
Preventive Measures ◽  
Construction Project ◽  
Investment Project ◽  
Third Parties ◽  
Third Party ◽  
Construction Planning ◽  
Planning Stage

The article analyses the possible influence of third-party rights infringed during construction planning on the implementation of an investment project. In a construction project, judicial disputes are an unwanted risk factor, which may disrupt the entire project. It is therefore necessary to plan and apply preventive measures for the mitigation of such risk in the initial planning stage of a construction project. The article, for that purpose, presents modelling a dispute between investors and third persons on allegedly violated third-party rights with the help of a tree that illustrates the possible actions of the dispute parties. A mathematical model for dynamic programming the dispute on allegedly violated third-party rights has been developed; it helps to determine the optimal investor's strategies for each situation that involves decision-making. Santrauka Nagrinėjama, kaip trečiųjų asmenų teisių pažeidimai, planuojant statybas, gali veikti investicinio projekto įgyvendinimą. Įgyvendinant statybos projektą, teisminio ginčo atsiradimas yra nepageidaujamas rizikos faktorius, galintis sužlugdyti visą projektą. Todėl vykdant statybos projektą jau pradiniame projekto planavimo etape būtina numatyti ir taikyti prevencines priemones tokios rizikos mažinimui. Siekiant šio tikslo straipsnyje atliktas ginčo tarp investuotojų ir trečiųjų asmenų dėl galbūt pažeistų trečiųjų asmenų teisių modeliavimas, sudarant ginčo šalių elgsenos variantų formavimo medį. Sudarytas ginčo proceso dėl galbūt pažeistų trečiųjų asmenų teisių dinaminio programavimo matematinis modelis, leidžiantis nustatyti optimalias investuotojo strategijas kiekvienoje situacijoje, kai reikia priimti sprendimus.

scholarly journals Possibilities at the Intersection of AI and Blockchain Technology

2019 ◽  
Vol 9 (1S) ◽  
pp. 135-144
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Data Sharing ◽  
Action Plan ◽  
Third Party ◽  
Human Beings ◽  
Intelligent Decision Making ◽  
Blockchain Technology ◽  
Intelligent Decision ◽  
The Given

Artificial intelligence and Blockchain are the most trending technologies these days, where artificial intelligence offers intelligent decision-making capabilities to machines which is similar to human beings and blockchain technology allows a decentralised pathway for encrypted data sharing between ledgers in a secured manner. Integration of both technologies forms a decentralised AI which enables the process of decision making on digitally encrypted platform for secure data sharing without involvement of any Third Party. This paper gives a detail on the possibilities of intersection of AI and Blockchain. The paper also contains the issues and problems related to the respective integration. An Algorithm is proposed in two parts, based on one of the given issues, which predicts the action plan of AI for destructing malware blocks in blockchain

Comparative Advantage of Using Biopesticides in Ukrainian Agroecosystems

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Hasrat Arjjumend ◽  
Konstantia Koutouki ◽  
Olga Donets
Keyword(s):  
Shelf Life ◽  
Crop Production ◽  
Plant Protection ◽  
Agricultural Practices ◽  
Crop Productivity ◽  
Poor Quality ◽  
Soil Biology ◽  
Chemical Contamination ◽  
High Concentration ◽  
Irreversible Damage

The use of unsustainable levels of chemical fertilizers and plant protection chemicals has resulted in a steady decline in soil and crop productivity the world over. Soil biology has undergone irreversible damage, coupled with a high concentration of toxic chemical residues in plant tissues and human bodies. Agricultural practices must evolve to sustainably meet the growing global demand for food without irreversibly damaging soil. Microbial biocontrol agents have tremendous potential to bring sustainability to agriculture in a way that is safe for the environment. Biopesticides do not kill non-target insects, and biosafety is ensured because biopesticides act as antidotes and do not lead to chemical contamination in the soil. This article is part of a larger study conducted in Ukraine by researchers at the Université de Montréal with the support of Mitacs and Earth Alive Clean Technologies. The responses of farmers who use biofertilizers (“user farmers”) and those who do not (“non-user farmers”), along with the responses of manufacturers or suppliers of biofertilizers, and research and development (R&D) scientists are captured to demonstrate the advantages of applying microbial biopesticides to field crops. Participants reported a 15-30% increase in yields and crop production after the application of biopesticides. With the use of biopesticides, farmers cultivated better quality fruits, grains, and tubers with a longer shelf life. Moreover, while the risk of crop loss remains high (60-70%) with chemically grown crops, this risk is reduced to 33% on average if crops are grown using biopesticides. The findings indicate that a large proportion of farmers would prefer to use biopesticides if they are effective and high quality products. In this context, the quality and effectiveness of products is therefore very important. Despite their benefits to soil, human health, and ecosystems, biopesticides face significant challenges and competition vis-à-vis synthetic pesticides for a variety of reasons. Therefore, the development of biopesticides must overcome the problems of poor quality products, short shelf life, delayed action, high market costs, and legal/registration issues.

Development of innovative hygienic technologies for preservation of the workers’ reproductive health

2020 ◽  
pp. 792-792
Author(s):  
M. A. Fesenko ◽  
G. V. Golovaneva ◽  
A. V. Miskevich
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Reproductive Health ◽  
Reproductive System ◽  
Preventive Measures ◽  
Learning Algorithms ◽  
Reproductive Function ◽  
Machine Learning Algorithms ◽  
New Model

The new model «Prognosis of men’ reproductive function disorders» was developed. The machine learning algorithms (artificial intelligence) was used for this purpose, the model has high prognosis accuracy. The aim of the model applying is prioritize diagnostic and preventive measures to minimize reproductive system diseases complications and preserve workers’ health and efficiency.

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