scholarly journals From Homo Sapiens to Robo Sapiens: The Evolution of Intelligence

Information ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 2 ◽  
Author(s):  
Anat Ringel Raveh ◽  
Boaz Tamir
Keyword(s):  
Artificial Intelligence ◽  
Human Behavior ◽  
Social Intelligence ◽  
Deep Neural Network ◽  
Homo Sapiens ◽  
Human Cognition ◽  
Network Technology ◽  
Research Fields ◽  
Recent Developments ◽  
Neural Network Technology

In this paper, we present a review of recent developments in artificial intelligence (AI) towards the possibility of an artificial intelligence equal that of human intelligence. AI technology has always shown a stepwise increase in its capacity and complexity. The last step took place several years ago with the increased progress in deep neural network technology. Each such step goes hand in hand with our understanding of ourselves and our understanding of human cognition. Indeed, AI was always about the question of understanding human nature. AI percolates into our lives, changing our environment. We believe that the next few steps in AI technology, and in our understanding of human behavior, will bring about much more powerful machines that are flexible enough to resemble human behavior. In this context, there are two research fields: Artificial Social Intelligence (ASI) and General Artificial Intelligence (AGI). The authors also allude to one of the main challenges for AI, embodied cognition, and explain how it can be viewed as an opportunity for further progress in AI research.

scholarly journals From Homo Sapiens to Robo Sapiens: The Evolution of Intelligence

2018 ◽  
Author(s):  
Anat Ringel Raveh ◽  
Boaz Tamir
Keyword(s):  
Artificial Intelligence ◽  
Human Behavior ◽  
Social Intelligence ◽  
Deep Neural Network ◽  
Homo Sapiens ◽  
Human Cognition ◽  
Network Technology ◽  
Research Fields ◽  
Recent Developments ◽  
Neural Network Technology

In this paper we present a review of recent developments in AI towards the possibility of an artificial intelligence equals that of human intelligence. AI technology has always shown a stepwise increase in its capacity and complexity. The last step took place several years ago, with the increased progress in deep neural network technology. Each such step goes hand in hand with our understanding of ourselves and our understanding of human cognition. Indeed, AI was always about the question of understanding human nature. AI percolates into our lives, changing our environment. We believe that the next few steps in AI technology, and in our understanding of human behavior, will bring about much more powerful machines, flexible enough to resemble human behavior. In this context, there are two research fields: Artificial Social Intelligence (ASI) and General Artificial Intelligence (AGI). The authors also allude to one of the main challenges for AI, embodied cognition, and explain how it can viewed as an opportunity for further progress in AI research.

scholarly journals From Homo Sapiens to Robo Sapiens: The Evolution of Intelligence

2018 ◽  
Author(s):  
Anat Ringel Raveh ◽  
Boaz Tamir
Keyword(s):  
Artificial Intelligence ◽  
Human Behavior ◽  
Coming Out ◽  
Social Intelligence ◽  
Homo Sapiens ◽  
Human Cognition ◽  
Whole Process ◽  
Research Fields ◽  
Evolutionary Force ◽  
Social Communicative

In this paper we present an argument in favor of the possibility of an artificial intelligence above human intelligence. AI technology has shown a stepwise increase in its capacity and complexity. The last step took place several years ago, due to increased progress in deep neural network technology. Each such step goes hand in hand with our understanding of ourselves, understanding human cognition. Indeed, AI was always about the question of understanding human nature. AI percolates into our lives, step by step, changing our environment. We believe the next few steps in AI technology, and in our understanding of human behavior, will bring about a much more powerful machines, flexible enough to resemble human behavior. In this context, there are two research fields: Artificial Social Intelligence (ASI) and General Artificial Intelligence (AGI). On the ground of ASI and AGI we present an evolutionary argument which uses research in artificial life simulations, showing an increase in complexity due to an emergent property coming out of lower complexity constituents. The whole process is driven by an evolutionary force. What could such an evolutionary force be? We suggest a social communicative driving force. We end the discussion demonstrating a way to overcome our fears of singularity, harnessing value alignment.

scholarly journals From Homo Economicus to Homo Sapiens

2000 ◽  
Vol 14 (1) ◽  
pp. 133-141 ◽  
Author(s):  
Richard H Thaler
Keyword(s):  
Human Behavior ◽  
Homo Sapiens ◽  
Human Cognition ◽  
Homo Economicus ◽  
Human Emotion ◽  
The Future ◽  
Descriptive Theories

In responding to a request for predictions about the future of economics, I predict that Homo Economicus will evolve into Homo Sapiens, or, more simply put, economics will become more related to human behavior. My specific predictions are that Homo Economicus will start to lose IQ, will become a slower learner, will start interacting with other species, and that economists will start to study human cognition, human emotion, and will distinguish more clearly between normative and descriptive theories.

Using intelligent technologies for tourism

2021 ◽  
pp. 96-105
Author(s):  
Nataliia Lytvyn ◽  
Svitlana Panchenko
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Knowledge Management ◽  
Research Methodology ◽  
Network Technology ◽  
Inaccurate Information ◽  
Tourism Product ◽  
The Subject ◽  
Neural Network Technology

The purpose of the article is to explore the essence and features of using intelligent technologies in tourism and to develop proposals for their implementation. The subject of research – intelligent technologies in tourism, the technology of forming the “profile” of the tourist. The research methodology consists in the application of methods of analysis, synthesis, comparison, generalization, forecasting, as well as in the use of systematic, activity approaches. The article presents the technology of forming the “profile” of the tourist. It is established that it is necessary to create a world of tourist models, the “profile” of the tourist, as it is a matter of formalizing such poorly structured concepts as “impressions”, “intentions”, etc., it is necessary to use artificial intelligence technologies, in particular neural networks. The scientific novelty is that this article proves the effectiveness of the use of intelligent technologies to create a model of the tourist, his “profile” using neural networks. Conclusions. Effective using of information from various sources in the field of tourism is an important and difficult task. Managers are often forced to make decisions based on partial, incomplete and inaccurate information. The article considers knowledge management in a rapidly changing environment for the task of promoting a tourism product. Neural network technology allows for the effective formation of the “tourist profile” and use all the information in available databases. Key words: tourism, intelligent technologies for tourism, neural networks, tourist profile, tourist product.

scholarly journals The effect of artificial intelligence technologies on audit evidence

Accounting ◽  
2021 ◽  
pp. 281-288 ◽  
Author(s):  
Saleh Mohammed Al-Sayyed ◽  
Shaher Falah Al-Aroud ◽  
Lena Mustafa Zayed
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Information Technology ◽  
Point Of View ◽  
Network Technology ◽  
Descriptive Research ◽  
Audit Evidence ◽  
Effectiveness And Efficiency ◽  
Neural Network Technology ◽  
Structured Questionnaire

Technologies of Artificial Intelligence (AI) are critical for future of the auditing profession. These technologies are actually vital tools that provide the auditing professionals with the means necessary for increasing the effectiveness and efficiency of their jobs. The aim of this study was to examine the effect of artificial intelligence technologies on audit evidence, from the point of view of certified auditors in information technology (IT) companies in Jordan. Descriptive research design was adopted in the study among 314 auditors. Structured questionnaire was used to obtain the information needed for the study. The findings of the study showed that expert system had a significant effect on the audit evidence. Neural network technology did not provide any significant effect on the audit evidence. The study recommended increased interest in artificial intelligence technologies by audit offices operating in Jordan because of its scientific importance in improving the collection of audit evidence.

scholarly journals Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy

2020 ◽  
Vol 53 (2) ◽  
pp. 117-126 ◽  
Author(s):  
Joonmyeong Choi ◽  
Keewon Shin ◽  
Jinhoon Jung ◽  
Hyun-Jin Bae ◽  
Do Hoon Kim ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Convolutional Neural Network ◽  
Network Technology ◽  
Endoscopic Imaging ◽  
Neural Network Technology

The Cooking Ape: An Interview with Richard Wrangham

2005 ◽  
Vol 5 (1) ◽  
pp. 29-37
Author(s):  
elisabeth townsend
Keyword(s):  
Social Relationships ◽  
Human Behavior ◽  
Homo Sapiens ◽  
Social Groups ◽  
Harvard University ◽  
Primate Research ◽  
Social Organizations ◽  
Cooked Food ◽  
New Research ◽  
The Brain

Humans: The Cooking Ape Perhaps the first to suggest that humans were cooking as early as 1.9 million years ago, Richard Wrangham shows through his new research and his imagination how and possibly when cooking changed humans dramatically. Wrangham, Harvard University primatologist and MacArthur Fellow, has been studying the evolution of human cooking. After 25 years of primate research at his site in Kibale, Uganda, Wrangham is best known for explaining the similarity and differences across species of primate social organizations. In Kibale, he has analyzed chimpanzees’ behavior: how it’s changed when they interact with the environment and how their social groups have evolved. In particular, he noticed how food changed their interactions with each other. Like that of chimps, human behavior has been affected by food, especially as they shifted from raw to cooked food. Moving from eating food as it was discovered to collecting edibles and cooking them altered our social relationships. Cooked food has changed Homo sapiens physically by making food more digestible thereby altering jaws, teeth, and guts, and providing more calories for more expensive organs such as the brain. Wrangham discusses when and how humans may have started using fire to cook food, what they cooked, and the transition from cooking in an outdoor fire to hearths and open ovens.

Virtual Screening Meets Deep Learning

2018 ◽  
Vol 15 (1) ◽  
pp. 6-28 ◽  
Author(s):  
Javier Pérez-Sianes ◽  
Horacio Pérez-Sánchez ◽  
Fernando Díaz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Virtual Screening ◽  
Great Increase ◽  
New Drugs ◽  
Learning Approach ◽  
Screening Strategies ◽  
Computer Aided ◽  
Recent Developments

Background: Automated compound testing is currently the de facto standard method for drug screening, but it has not brought the great increase in the number of new drugs that was expected. Computer- aided compounds search, known as Virtual Screening, has shown the benefits to this field as a complement or even alternative to the robotic drug discovery. There are different methods and approaches to address this problem and most of them are often included in one of the main screening strategies. Machine learning, however, has established itself as a virtual screening methodology in its own right and it may grow in popularity with the new trends on artificial intelligence. Objective: This paper will attempt to provide a comprehensive and structured review that collects the most important proposals made so far in this area of research. Particular attention is given to some recent developments carried out in the machine learning field: the deep learning approach, which is pointed out as a future key player in the virtual screening landscape.

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