12 pages., An extraordinary moment of agricultural modernization is currently underway due to innovations in Information and Communication Technologies (ICTs). In this process, management precepts are renewed, fostering significant gains in efficiency, productivity, and sustainable use of natural resources and the environment. The growing supply of ICTs and the extension of connectivity in rural areas, with their transforming roles in productive practices and economic relations, bring about questions regarding their impacts. These technologies include precision positioning systems and large volume databases, electronic sensors of site-specific production and environmental conditions, repositories of relational data, statistical and crop forecasting software, methodologies and processes; web-based information services, among others. The assessment of impacts focused on ICTs for agriculture needs innovative approaches, due to the peculiarities of their applications, the different scales of their socioenvironmental scopes and, at the same time, the verification of effectiveness of institutional investments on research, development, and innovation (RD&I). Based on these premises, the objectives of this work are to present a ‘module of impact indicators for Information and Communication Technologies (Ambitec-TICs)’, and assess its application to six typical technology adoption cases resulting from agricultural RD&I projects. The results detail critical analyses of the contributions of the proposed module for the registration, interpretation, and communication of impacts, with recommendations for technology transfer and accountability in institutional Social Balance documentation.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 208 Document Number: D13218
Journal Title Details:
V.7, N.10
Notes:
9 pages, The modern project of creating human-like artificial intelligence (AI) started after World War II, when it was discovered that electronic computers are not just number-crunching machines, but can also manipulate symbols. It is possible to pursue this goal without assuming that machine intelligence is identical to human intelligence. This is known as weak AI. However, many AI researcher have pursued the aim of developing artificial intelligence that is in principle identical to human intelligence, called strong AI. Weak AI is less ambitious than strong AI, and therefore less controversial. However, there are important controversies related to weak AI as well. This paper focuses on the distinction between artificial general intelligence (AGI) and artificial narrow intelligence (ANI). Although AGI may be classified as weak AI, it is close to strong AI because one chief characteristics of human intelligence is its generality. Although AGI is less ambitious than strong AI, there were critics almost from the very beginning. One of the leading critics was the philosopher Hubert Dreyfus, who argued that computers, who have no body, no childhood and no cultural practice, could not acquire intelligence at all. One of Dreyfus’ main arguments was that human knowledge is partly tacit, and therefore cannot be articulated and incorporated in a computer program. However, today one might argue that new approaches to artificial intelligence research have made his arguments obsolete. Deep learning and Big Data are among the latest approaches, and advocates argue that they will be able to realize AGI. A closer look reveals that although development of artificial intelligence for specific purposes (ANI) has been impressive, we have not come much closer to developing artificial general intelligence (AGI). The article further argues that this is in principle impossible, and it revives Hubert Dreyfus’ argument that computers are not in the world.
Rose, David C. (author), Sutherland, William J. (author), Parker, Caroline (author), Lobley, Matt (author), Winter, Michael (author), Morris, Carol (author), Twining, Susan (author), foulkes, Charles F. (author), Amano, Tatsuya (author), and Dicks, Lynn V. (author)
Format:
Journal article
Publication Date:
2016-11
Published:
United Kingdom
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 159 Document Number: D07672
Meyers, Courtney (author), Shaw, Kelsey (author), Irlbeck, Erica (author), Doerfert, David (author), Abrams, Katie (author), and Morgan, Chris (author)
Format:
Journal article
Publication Date:
2015
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 151 Document Number: D06780
Lin, Hanhui (author), Cai, Ken (author), Chen. Huazhou (author), Zeng, ZhaoFeng (author), and Center for Educational Technology, Guangdong University of Finance and Economics, Guangzhou, China
School of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
College of Science, Guilin University of Technology, Guilin, China
Department of Mathematics and Computer Science, California State University, East Bay, CA, United States
Format:
Journal article
Publication Date:
2015
Published:
International: Kassel University Press GmbH
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D08179
