DynaBot: Dynamic Dota 2 Bot

2020 ◽  
Vol 7 (1) ◽  
pp. 11-17
Author(s):  
Wanaldi Wanaldi ◽  
Yustinus Eko Sulistio ◽  
Johan Setiawan
Keyword(s):  
Artificial Intelligence ◽  
Poor Performance ◽  
Previous Model ◽  
Winning Percentage ◽  
Game Dynamic ◽  
Dynamic Scripting ◽  
Adjusted Model ◽  
Better Than

This research was conducted to find out whether the Dynamic Scripting method that has been used before only on zeus characters can be generalized to be used on other characters on the Dota 2 game. Dynamic scripting works by using the rulebase where the rulebase contains actions that determine the actions performed by Artificial Intelligence (AI). In addition, some adjustments have been made to existing methods. To find out whether the performance of a generalized and adjusted model is better than the previous model, a test has been conducted where AI is made with dynamic scripting against AI provided by the valve in the Dota 2 game. In addition, AI has also been tested against humans. Then the performance of AI will be analyzed by comparing the winning ratio and several other supporting variables. The results of this study are that AI got a low winning percentage against standard AI and cannot win at all and give poor performance against humans. It can be concluded that the Dynamic Scripting method cannot be generalized to other characters in the Dota 2 game.

Computing Possible Futures

2019 ◽  
Author(s):  
William B. Rouse
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computational Modeling ◽  
Mental Model ◽  
Data Analytics ◽  
Computational Models ◽  
Senior Managers ◽  
Interactive Visualizations ◽  
Use Of Models ◽  
Better Than

This book discusses the use of models and interactive visualizations to explore designs of systems and policies in determining whether such designs would be effective. Executives and senior managers are very interested in what “data analytics” can do for them and, quite recently, what the prospects are for artificial intelligence and machine learning. They want to understand and then invest wisely. They are reasonably skeptical, having experienced overselling and under-delivery. They ask about reasonable and realistic expectations. Their concern is with the futurity of decisions they are currently entertaining. They cannot fully address this concern empirically. Thus, they need some way to make predictions. The problem is that one rarely can predict exactly what will happen, only what might happen. To overcome this limitation, executives can be provided predictions of possible futures and the conditions under which each scenario is likely to emerge. Models can help them to understand these possible futures. Most executives find such candor refreshing, perhaps even liberating. Their job becomes one of imagining and designing a portfolio of possible futures, assisted by interactive computational models. Understanding and managing uncertainty is central to their job. Indeed, doing this better than competitors is a hallmark of success. This book is intended to help them understand what fundamentally needs to be done, why it needs to be done, and how to do it. The hope is that readers will discuss this book and develop a “shared mental model” of computational modeling in the process, which will greatly enhance their chances of success.

scholarly journals Why a Virtual Assistant for Moral Enhancement When We Could have a Socrates?

2021 ◽  
Vol 27 (4) ◽  
Author(s):  
Francisco Lara
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
New Technologies ◽  
Personal Autonomy ◽  
Moral Enhancement ◽  
Moral Decisions ◽  
Educational Methodology ◽  
Better Than

AbstractCan Artificial Intelligence (AI) be more effective than human instruction for the moral enhancement of people? The author argues that it only would be if the use of this technology were aimed at increasing the individual's capacity to reflectively decide for themselves, rather than at directly influencing behaviour. To support this, it is shown how a disregard for personal autonomy, in particular, invalidates the main proposals for applying new technologies, both biomedical and AI-based, to moral enhancement. As an alternative to these proposals, this article proposes a virtual assistant that, through dialogue, neutrality and virtual reality technologies, can teach users to make better moral decisions on their own. The author concludes that, as long as certain precautions are taken in its design, such an assistant could do this better than a human instructor adopting the same educational methodology.

Civil Aeroengine Fault Diagnosis Based on Fuzzy Least Square Support Vector Machine

2011 ◽  
Vol 130-134 ◽  
pp. 2047-2050 ◽  
Author(s):  
Hong Chun Qu ◽  
Xie Bin Ding
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Support Vector Machine ◽  
Fault Diagnosis ◽  
Coefficient Matrix ◽  
Least Square ◽  
Support Vector ◽  
Influence Coefficient ◽  
Structural Risk ◽  
Better Than

SVM(Support Vector Machine) is a new artificial intelligence methodolgy, basing on structural risk mininization principle, which has better generalization than the traditional machine learning and SVM shows powerfulability in learning with limited samples. To solve the problem of lack of engine fault samples, FLS-SVM theory, an improved SVM, which is a method is applied. 10 common engine faults are trained and recognized in the paper.The simulated datas are generated from PW4000-94 engine influence coefficient matrix at cruise, and the results show that the diagnostic accuracy of FLS-SVM is better than LS-SVM.

scholarly journals Research on Campus Education Information System Based on Internet of Things and Artificial Intelligence Decision

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Hetiao Hong
Keyword(s):  
Artificial Intelligence ◽  
Information System ◽  
Original System ◽  
Functional Testing ◽  
Excellent Performance ◽  
Teachers And Students ◽  
Interface Function ◽  
Artificial Intelligence Technology ◽  
Education Platform ◽  
Better Than

Because of the different reasons between regions, the distribution of educational resources is also different, the development of each school is unbalanced, and the degree of campus education informationization is different. The complex functional structure not only does not facilitate teachers and students but also leads to many problems: the prevention and prevention of campus life safety. It is difficult to keep and use multiple cards owned by one person. Software and education platform cannot be seamlessly connected, and there are various barriers between data and data and people and data. The lack of learning materials leads to the inequality of information. There are no good feedback and solution between teachers and students. It is difficult to manage accurately with a large number of people. This study will be based on the Internet and artificial intelligence technology, to explore how to study a large (or super large), concise and efficient, and excellent performance of campus education information system; this system can meet the teachers and students no matter what year, month, and day of a large number of visits. For some problems in the process of building the system, actively optimize and refine them. After functional testing and analysis of the system, the experimental results show that the interface function of the new system is stable, the usability test is better than the feedback experience of the original system, the response time is reduced by 21.6% on average, and the overall power consumption of the system is reduced by about 1.43% on average.

scholarly journals Design of a Microwave Lowpass – Bandpass Filter using Deep Learning and Artificial Intelligence

2021 ◽  
Vol 3 (1) ◽  
pp. 1-16
Author(s):  
Saeed Roshani ◽  
◽  
Hossein Heshmati ◽  
Sobhan Roshani ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Insertion Loss ◽  
Dual Band ◽  
Transmission Zeros ◽  
Compact Size ◽  
Electrical Devices ◽  
Low Pass ◽  
Artificial Neural Network Ann ◽  
Better Than

In this paper, a lowpass – bandpass dual band microwave filter is designed by using deep learning and artificial intelligence. The designed filter has compact size and desirable pass bands. In the proposed filter, the resonators with Z-shaped and T-shaped lines are used to design the low pass channel, while coupling lines, stepped impedance resonators and open ended stubs are utilized to design the bandpass channel. Artificial neural network (ANN) and deep learning (DL) technique has been utilized to extract the proposed filter transfer function, so the values of the transmission zeros can be located in the desired frequency. This technique can also be used for the other electrical devices. The lowpass channel cut off frequency is 1 GHz, with better than 0.2 dB insertion loss. Also, the bandpass channel main frequency is designed at 2.4 GHz with 0.5 dB insertion loss in the passband.

scholarly journals Artificial intelligence techniques applied to predict teams position of the Brazilian football championship

1989 ◽  
Author(s):  
Mariana Kleina ◽  
◽  
Mateus Noronha dos Santos ◽  
Tiago Noronha dos Santos ◽  
Marcos Augusto Mendes Marques ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Group Classification ◽  
Support Vector ◽  
Multi Layer Perceptron ◽  
Post Processing ◽  
Specific Training ◽  
Reasonable Prediction ◽  
True Group ◽  
Better Than

This study presents a classifier prediction in groups for the Brazilian Football Championship of both A and B leagues, from the results of the first half of each championship. With assertive predictions of the group where a team will end the championship, strategic planning can be performed in the squad, such as new hiring, specific training for athletes, and possible championships that the team will be entitled to participate in according to the group classification. In order to find the predictions, two techniques of artificial intelligence were applied: Multi-Layer Perceptron (MLP), which is a type of artificial neural network, and Support Vector Machine (SVM). Preliminary results show that the proposed methodology is very promising, with more than 40% successful cases with MLP and almost 50% with SVM. Moreover, results indicate that the methodology is able to make a reasonable prediction by missing one group of the true group at the end of the championship. The SVM technique was slightly better than MLP. A post-processing analysis of the SVM results was applied to the 2018 A league data from the Brazilian championship, resulting in 85% success indicator of groups.

scholarly journals Scoring endoscopic disease activity in IBD: artificial intelligence sees more and better than we do

Gut ◽  
2019 ◽  
Vol 69 (4) ◽  
pp. 788-789 ◽  
Author(s):  
Peter Bossuyt ◽  
Séverine Vermeire ◽  
Raf Bisschops
Keyword(s):  
Artificial Intelligence ◽  
Disease Activity ◽  
Better Than

Packing decision for low fat aliments: a review

2014 ◽  
Vol 44 (3) ◽  
pp. 212-222
Author(s):  
Natalia Vila-López ◽  
Inés Küster-Boluda
Keyword(s):  
Food Packaging ◽  
Time Pressure ◽  
Poor Performance ◽  
Strategic Decision ◽  
Personal Factors ◽  
Low Fat ◽  
Content Type ◽  
Personal Variables ◽  
Food Package ◽  
Better Than

Purpose – The purpose of this paper is to give some recommendations about how to design a low fat food aliment packaging. Design/methodology/approach – A review of previous studies that have analysed food packaging decisions considering personal and product influences was done. Findings – For low fat foods, a good or a poor performance is not sufficient; you have to perform better than those competitors whose competitive capacity is strong enough to influence strategic decision taking. Low fat products must be focused to a particular target. A product of these characteristics cannot be launched for all the markets at the same time, and under the same conditions. Some personal factors do really affect food buying process: socio-demographic characteristics (age, gender, income and education), involvement, time pressure or motivation. A possible recommended target for law fat aliments could be: an old/medium age women, with a medium/high economic position, educated, involved in food buying and worried about health. Some packaging factors also affect food buying process: colours, graphics, size, shape, typography. In this regard, a package for a low fat aliment could be designed including a picture on the label showing the benefits of the product (i.e. a healthy heart), with green colors, medium/small sizes and natural shapes, without sophistications. An umbrella brand for different firms acting in this market could be created, to facilitate their healthy products identification. Originality/value – Personal variables and product characteristics are mixed together to give some recommendations of how an ideal low fat food package should be designed.

scholarly journals Estimating the deep replicability of scientific findings using human and artificial intelligence

2020 ◽  
Vol 117 (20) ◽  
pp. 10762-10768
Author(s):  
Yang Yang ◽  
Wu Youyou ◽  
Brian Uzzi
Keyword(s):  
Artificial Intelligence ◽  
Ground Truth ◽  
Machine Intelligence ◽  
Prediction Markets ◽  
Self Assessment ◽  
Ground Truth Data ◽  
Out Of Sample ◽  
Scientific Papers ◽  
Assessment Techniques ◽  
Better Than

Replicability tests of scientific papers show that the majority of papers fail replication. Moreover, failed papers circulate through the literature as quickly as replicating papers. This dynamic weakens the literature, raises research costs, and demonstrates the need for new approaches for estimating a study’s replicability. Here, we trained an artificial intelligence model to estimate a paper’s replicability using ground truth data on studies that had passed or failed manual replication tests, and then tested the model’s generalizability on an extensive set of out-of-sample studies. The model predicts replicability better than the base rate of reviewers and comparably as well as prediction markets, the best present-day method for predicting replicability. In out-of-sample tests on manually replicated papers from diverse disciplines and methods, the model had strong accuracy levels of 0.65 to 0.78. Exploring the reasons behind the model’s predictions, we found no evidence for bias based on topics, journals, disciplines, base rates of failure, persuasion words, or novelty words like “remarkable” or “unexpected.” We did find that the model’s accuracy is higher when trained on a paper’s text rather than its reported statistics and that n-grams, higher order word combinations that humans have difficulty processing, correlate with replication. We discuss how combining human and machine intelligence can raise confidence in research, provide research self-assessment techniques, and create methods that are scalable and efficient enough to review the ever-growing numbers of publications—a task that entails extensive human resources to accomplish with prediction markets and manual replication alone.

Analysis the Influence of Non-Prestressed Reinforcement for Horizontal Bearing Capacity of PHC Pipe Pile

2014 ◽  
Vol 919-921 ◽  
pp. 649-653
Author(s):  
Pei Sheng Xi ◽  
Xiao Kai Sun
Keyword(s):  
Bearing Capacity ◽  
Poor Performance ◽  
Analysis Software ◽  
Element Analysis ◽  
Prestressing Steel ◽  
Concrete Piles ◽  
The Poor ◽  
Concrete Pile ◽  
Prestressed Reinforcement ◽  
Better Than

We analyze the configuration of the non-pretressed reinforcement impact on the level of bearing capacity of PHC piles to effectively solve the poor performance of the general bending of pretressed concrete pile,using ANSYS finite element analysis software,through configurating the pretressed concrete pile with appropriate amount of ordinary non-presressed reinforcement.The results of numerical calculation show that the performance of PHC pile bending has been greatly improved and the deflection and bending when cracking were significantly better than ordinary PHC pile with the confiuration of non-prestressed reinforcement. We also analyze the effect of non-prestressed reinforcement and prestressing steel when the concrete piles cracking,datd shows that prestressing steel reached stress yielding firstly.The results provide a theoretical basis of the application of precast piles in the foudation ditch support project.

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