The Knowledge Society Applications

Author(s):  
Azamat Abdoullaev

Like in the human mind marked by rationality, goals, and purposeful actions, knowledge in advanced computer systems and intelligent agents is thought to constitute a distinct level lying above the symbol (computational), the logical (algorithmic), and the physical (biological, mechanical) levels (Newell, 1980; Newell, 1990; Newell, 1993). The symbol or code level with its two kinds of representations, data structures (contents) and processes (codes and procedures), is considered to be a representational medium level realizing knowledge content and actuating the agent’s thoughts and decisions. Accordingly, all inquiries of AI usually are arranged as a separate contribution either to the symbol (code) level or to the knowledge (semantic) level. Any sort of logic, whatever may be its generality, contributes little directly to the knowledge level, since “no matter how general a logic is, it is not at the knowledge level” (Newell, 1980). Logical principles are by nature merely rules of reasoning, deductive arguments, and demonstration, they are not principles of real knowledge. So, being neutral to their subjects, formal logical systems neither describe nor represent, nor explain, nor predict any real phenomena. Consequently, nothing substantive can be deduced from the logical axioms or postulates regarding the nature and order of things in the real world. Nevertheless, despite the public fact that logic says nothing about any real thing, and that it is all about proposition and inference forms, there is an established habit to combine formal logic languages with entity taxonomies and typologies so that to construct a general representational language for the DA, in particular, and knowledge technologies, in general (Ontology and Taxonomies, 2001). Nowadays, such versions of logical formalisms and languages as semantic networks, rule systems, fuzzy logic, frame models, predicate calcuThe lus, or situation calculus still constitute all the thrust of current knowledge and reasoning applications. Some AI practitioners feel concern about this conceptual confusion, and urge on replacing “form-oriented AI research” with “content-directed AI Research,” whereby substituting knowledge engineering with ontological (domain knowledge) engineering, thus, underlining the higher value of content theories in comparison with so-called logical mechanism theories (Mizoguchi, 1998).

Author(s):  
Aibanroy Lyngkhoi ◽  
Dipak Kumar Bose ◽  
Jahanara Jahanara

The study was conducted in East Khasi Hills District of Meghalaya to measure the knowledge level of potato growers about improved production technology. A total number of 120 respondents were selected randomly from ten villages under Mylliem block because productivity, production and area under potato cultivation were found to be maximum. The data were collected by personnel interview method by using pre- tested interview schedule and later appropriate statistical analysis was done to find out the meaningful results. The findings of the study revealed that majority (61.67%) of the respondents belonged to the middle- aged group, 67.50 per cent of the respondents mainly depended on agriculture as their main occupation and 47.50 per cent of the respondents had an educational attainment up to primary level. The findings also revealed that majority (50.83%) of the respondents had medium level of knowledge towards improved potato production technology followed by 30% and 19.17% of the respondents with low and high levels of knowledge respectively.


Author(s):  
Oriol Rios-Gonzalez

The European Commission launched a renewed agenda for adult learning with the objective of ensuring access to high-quality educational opportunities to adult learners for the promotion of their personal and professional development. Thus, European researchers in this field are paying attention to lifelong learning actions in order to address this challenge. Studies in this area are exploring how adult education can strengthen adults’ skills, in particular those required in the current knowledge society (information and communication technologies, problem solving, foreign languages, etc.). Simultaneously, some investigations focus in depth on the role that adult education can play in overcoming social exclusion for the most underserved groups. This paper describes the contributions of these investigations as well as the steps carried out by programs and theories that have contributed the most to adult learning. Lastly, future developments and challenges on this field are explained.


1987 ◽  
Vol 2 (1) ◽  
pp. 55-63 ◽  
Author(s):  
Brian P. Bloomfield

AbstractThis paper examines the claim that machine induction can alleviate the current knowledge engineering bottleneck in expert system construction. It presents a case study of the rule induction software tool known as Expert-Ease and proposes a set of criteria which might guide the selection of appropriate domains.


Author(s):  
Shinde Rohini Sharad ◽  
Syed H Mazhar ◽  
Jahanara Jahanara

Pomegranate is one of the most remunerative fruit crops grown in Maharashtra and it is the leading state with 65.51 per cent of the area and 64.61 per cent of total production under pomegranate. This study aims to increase the production and productivity of pomegranate for which in-depth understanding of knowledge and adoption level of pomegranate cultivation practices should be learnt. Descriptive research design is adopted. In Ahmednagar, Shrigonda taluk is selected purposively, since it has major contribution in production of pomegranate. 120 pomegranate growers were selected from 12 village of Shrigonda taluk forms the respondents. Primary data collected from respondents with the help of pre-structured interview schedule during 2021. The results indicated that majority of the respondents had medium level of knowledge and attitude (37.50%). The socio-economic characteristics like age, occupation, annual income, land holding, number of trainings attended, mass media exposure, social participation, extension contact, innovativeness and progressiveness had significant association with the knowledge level of the respondents. Further, awareness generation on harvesting and post-harvest management should be done to pomegranate growers.


2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Iliana Real Poveda ◽  
Irlanda Maridueña Macancela

Uno de los retos de la actual sociedad del conocimiento es contar con docentes capaces de formar a las nuevas generaciones como gestores de sus aprendizajes, desarrollando en ellos  habilidades de selección y utilización del conocimiento en un contexto específico y a lo largo de toda la vida así como también aprender a aprender. En este documento se presenta una breve introducción del contexto actual en el cual prima la incertidumbre y el cambio y las bases teóricas con respecto a la práctica docente ligada a la motivación estudiantil, competencias didácticas que combinen la teoría y la práctica de modo significativo y  el concepto de  aprendizaje a lo largo de la vida, para finalmente presentar el perfil del docente como acompañante y gestor de capacidades profesionales en la sociedad del conocimiento. Palabras Clave: Competencias docentes, Competencias didácticas, aprendizaje significativo, sociedad del conocimiento. ABSTRACT One of the challenges of the current Knowledge Society is to count with professionals that are able to form new generations of students who are able to manage their own learning process, developing on them abilities of knowledge management to use it in specific contexts also known as learning for life. This document presents a brief introduction of the current educational context in which uncertainty and change rule, the article also describes the theoretical bases regarding teaching practices and their connection with students’ motivation, didactic competence, theory and meaningful practice combination and the long life learning concept. Finally a profile of the teacher’s new competences as a guidance and agent for developing professional skills in the Knowledge Society is presented. Keywords: Teaching skills, coompetences, didactic competences, meaningful learning, knowledge society. Recibido: septiembre de 2016Aprobado: noviembre de 2016


1984 ◽  
Vol 1 (4) ◽  
pp. 30-36 ◽  
Author(s):  
Brian P. Bloomfield

AbstractThis paper examines the claim that machine induction can alleviate the current knowledge engineering bottleneck in expert system construction. It presents a case study of the rule induction software tool known as Expert-Ease and proposes a set of criteria which might guide the selection of appropriate domains.


1997 ◽  
Vol 12 (2) ◽  
pp. 209-217 ◽  
Author(s):  
ENRICO MOTTA

The KEML (Knowledge Engineering Methods and Languages) workshop which took place on 22–24 January at the Open University in Milton Keynes (UK) was the seventh in a series of workshops on methods and languages for knowledge engineering. Although t he KEML acronym suggests a broad knowledge engineering connotation, in practice the main emphasis of these workshops is on the construction, formalisation, verification and use of knowledge models. The term “knowledge model” originate s from the work of Allen Newell (1982), who proposed a level of description — the knowledge level — which abstracts from implementation-related considerations to focus on the actions, goals and knowledge embodied by a problem solving agent.


Author(s):  
Shashidhar K. Baraker ◽  
K. C. Lalitha ◽  
K. V. Manjunath ◽  
Dadimi Anilkumar Reddy

Aim: To assess the Knowledge level of Onion growers on Improved Onion production technologies and to find out the Relationship between personal, socio economical and psychological characteristics of onion growers with their knowledge level. Study Design: “Ex-post facto” research design. Place and Duration of the Study: The present study was conducted during 2017–18 in Gadag district of Karnataka. Methodology: Two villages from each of the four Taluks of Gadag district were randomly selected and from eight villages, 15 respondents were selected from each village by adopting random sampling method to form a sample of 120 farmers. Data was collected from the respondents by personal interview method using a pre-tested structured interview schedule. Results: Majority of the farmers have medium level (42.50%) of knowledge followed by high level (31.66) of knowledge. Further study revealed that farmers had cent percent knowledge on seed rate, time of sowing, irrigation and weeding, whereas low level of knowledge on transplanting (10%), fertilizer dose (10%) and plant protection (15%). Independent variables like, Education, Mass media exposure, Extension contact, Management Orientation were have significant relationship with knowledge level of onion growers at 1 per cent level of significance, While Age, Farming experience, Innovativeness, Extension participation, Social participation and Risk Orientation at 5 per cent level of significance and variables such as Family size, Land holding , Area under Onion cultivation, Annual income exhibit non-significant relationship with knowledge level of onion growers. Conclusion: Significant portion of respondents were having medium level of knowledge with most of the independent variables contributing significantly towards their knowledge level on improved onion production technologies.


2021 ◽  
Vol 17 (AAEBSSD) ◽  
pp. 98-104
Author(s):  
Kunzes Angmo ◽  
Sonam Spaldon ◽  
Yogesh Kumar ◽  
Hanuman L. Verma ◽  
Jigmet Laskit ◽  
...  

Livestock rearing is one of the major occupations of Chanthang region India and is making significant contribution to the Ladakh’s socioeconomic development.Important role of alfalfa in development of animal husbandry is based on high potential for production of biomass. The study was conducted in eastern Ladakh (India) during 2015-19, due to deficit and scarcity of fodder crops in the region. First part of the study deals with the agronomic and management techniques adopted for cultivation of alfalfa. Second part deals with the adoption and knowledge level of farmers, which was calculated using a questionnaire. Randomly ten villages were selected from eastern Ladakh, in each village, 10 respondents were randomly selected. The study aimed to assess the adoption and knowledge level of alfalfa growers in alfalfa production. Information was obtained with the help of questionnairemethod. The data were analyzed, tabulated and the results were drawn with the help of descriptive statistical methods. The finding of the study revealed that the overall level of Adoption and knowledge of alfalfa production technology was medium. Majority of the farmers (67%) had medium level of knowledge and adoption (60%) of scientific alfalfa cultivation practices. More number of large farmers had high level of knowledge and adoption as compared to medium and small farmers. More awareness programmes should be organized to increase level of knowledge and adoption of cultivation practices to sustain alfalfa production in eastern Ladakh.


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