Cognition Of Concepts Research Articles

Fuzzy object-induced network three-way concept lattice and its attribute reduction

Concept cognition and knowledge discovery under network data combine formal concept analysis with complex network analysis. However, in real life, network data is uncertain due to some limitations. Fuzzy sets are a powerful tool to deal with uncertainty and imprecision. Therefore, this paper focuses on concept-cognitive learning in fuzzy network formal contexts. Fuzzy object-induced network three-way concept (network OEF-concept) lattices and their properties are mainly investigated. In addition, three fuzzy network weaken-concepts are proposed. As the real data is too large, attribute reduction can simplify concept-cognitive learning by removing redundant attributes. Thus, the paper proposes attribute reduction methods that can keep the concept lattice structure isomorphic and the set of extents of granular concepts unchanged. Finally, an example is given to show the attribute reduction process of a fuzzy network three-way concept lattice. Attribute reduction experiments are conducted on nine datasets, and the results prove the feasibility of attribute reduction.

M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion

Concept-cognitive learning (CCL) is an emerging field for studying the representation and processing of knowledge embedded in data. Many efforts are focused on this field due to the interpretability and effectiveness of the formal concept (not pseudo concept). However, the standard CCL methods cannot tackle continuous data directly. Although the current fuzzy-based CCL (FCCL) is a straightforward approach to discovering the knowledge embedded in continuous data, it does not sufficiently utilize the native advantage of concepts in simulating the cognitive mechanism. Then it causes it to be incomplete and complex cognition. Inspired by the memory mechanism, this paper combines the recalling and forgetting mechanisms with CCL, called memory-based concept-cognitive learning (M-FCCL). Specifically, a cosine measure is introduced to describe the relationship of samples and construct cosine-similar granules to learn the concept. Subsequently, a fuzzy three-way concept based on the cosine similar granules is defined to represent and discover knowledge. Furthermore, two memory mechanisms are borrowed for the process of concept cognition for dynamic data classification and knowledge fusion: concept-recalling can enhance the effectiveness of concept learning, and concept-forgetting can effectively reduce the complexity of concept cognition. Finally, some experiments are compared with other methods on 16 benchmark datasets to show that M-FCCL achieves superior performance. Specifically, on these datasets, the proposed M-FCCL method achieves 17.02% and 18.54% classification accuracy gain compared with some advanced CCL mechanisms and popular classification methods.

Progress in Ecosystem Health Research and Future Prospects

Since the Anthropocene, drastic changes in the relationship between humans and the earth have prompted human beings to pay more attention to the living environment. As a metaphor to reveal the state of humanity and nature, ecosystem health has gradually become an important issue closely related to global sustainable development ever since it was widely discussed in the 1990s. This study reviewed 4354 publications about ecosystem health from the Web of Science Core Collection by using CiteSpace software. In addition, 135 empirical papers were selected to further analyze the evaluation methods and characteristics of ecosystem health. This study was able to answer four questions: (1) What are the definitions, research content, and characteristics of ecosystem health? (2) Are there any features during the different periods of the development of the ecosystem health? Are there geographical differences in the research? (3) What are the methods and cases selected for studying ecosystem health, and under what kind of conditions do they apply? Are there any patterns or characteristics in the use of these methods? (4) What are the gaps and deficiencies in ecosystem health research, and where should we set our focus on in the future? In general, this study combined bibliometric analysis with a systematic review method, aiming to summarize the current status of ecosystem health research, make up for the deficiencies in the current review, and put forward new insights regarding the concept cognition, evaluation, and future outlook of ecosystem health research.

A CRITICAL EVALUATION OF THE PERCEPTIONS OF ERRORS IN THE LITERATURE ON SECOND LANGUAGE ACQUISITION (SLA) RESEARCH AND HOW APPLIED LINGUISTS AND TEACHERS NEED TO RESPOND TO ERRORS OF SECOND LANGUAGE LEARNERS

Second language learners, in acquiring English as a second language, make errors based on their cognition of concepts. The perception of linguists and teachers about errors inform their approach to language research and pedagogies. Linguists and teachers who have negative attitudes towards errors consider them as deviations that need to be prevented at all costs, while others perceive the errors as innovation. Indeed, while deviations could be innovative and contribute immensely to the development of new varieties of languages, some deviations are clearly deficits that could influence the acquisition process leading, and language teachers need to respond to these deviations appropriately. Through a systematic review of literature, the article presents an evaluation of errors (deviations or innovation) and their pedagogical purposes for applied linguists and teachers. Keywords: Second Language, Errors, Deviations, Innovations, Pedagogical Purposes

Practical Significance of the Working Mechanism of Public Opinion Guidance in Universities

This paper focuses on the background of the times, concept cognition and practical significance of the work mechanism of public opinion guidance in Colleges and universities. Public opinion field is an indispensable channel for college students to perceive social and political advantages and disadvantages in the new era, which will inevitably have a potential and far-reaching impact on the formation of their values. We need to optimize and improve the public opinion guidance mechanism of college students to guide the public opinion events in Colleges and universities more effectively, through the Marxist point of view.

Research on the design of digital media art display platform based on dynamic visual recognition

With the development of digital media, dynamic visual recognition has gradually replaced the traditional visual recognition. An recognition system is needed to identify visual images. This study designed a multi-sensory based booth recognition system, which was composed of visual recognition, behaviour recognition and concept recognition. The three aspects were analysed according to the actual situation of different booths. SGY coefficient, sensory load index and concept cognition were used to judge the visual and behaviour recognition performance of the system. Compared with the traditional recognition system, the designed system has a good recognition performance in these three aspects and wide application values.

The Switching Effect Involving the Affective System in Chinese Affective Concept Processing

The embodied cognition hypothesis holds the view that concepts are not only grounded in perceptions and actions, but are also important in affective (introspective) experiences. This research explores the switching effect involving affective systems in Chinese affective concept processing. The current study employed a 2×2×2 within-subject experiment with modality context (different vs. same), modality type of property (sensory vs. affective), and valence of word (positive vs. negative) as the independent variables, with reaction time as the dependent variable. Thirty-nine Chinese female college students were required to conduct a property verification task. The results showed a switching effect between verifying sensory properties of concepts and verifying affective properties of concepts, wherein participants responded more slowly to targets preceded by different modality context trials than those preceded by the same modality context trials. These results provide empirical evidence for the embodied cognition of concepts.