scholarly journals COGNITIVE APPROACHES TO SLA

1999 ◽  
Vol 19 ◽  
pp. 22-42 ◽  
Author(s):  
Nick Ellis
Keyword(s):  
Artificial Intelligence ◽  
Second Language ◽  
Cognitive Psychology ◽  
Applied Research ◽  
Mental Representations ◽  
Computational Simulation ◽  
Formal Systems ◽  
The World ◽  
Cognitive Approaches ◽  
Advance Theory

Getting to know a second language is an act of cognition par excellence. Yet 'Cognitive Approaches to SLA' implies something more than the general research enterprise of SLA. It highlights the goals of cognitive psychologists who search for explanations of second language cognition in terms of mental representations and information processing. It places SLA within the broader remit of cognitive scientists, who—influenced by Marr (1982) to seek understanding at all three levels of function, algorithm, and hardware—work in collaborations involving cognitive psychology, linguistics, epistemology, computer science, artificial intelligence, connectionism, and the neurosciences. It implies the empiricism of cognitive psychology, searching for truths about the world through observation and experimentation and, at times, the rationalism of cognitive scientists who theorize through the construction of formal systems such as those in mathematics, logic, or computational simulation. Much of the research is purely theoretical, but, as in applied cognitive psychology, pure theory can often spin off into important applications, and applied research using longitudinal or training designs in field situations can often advance theory.

scholarly journals Representations, Affordances, and Interactive Systems

2021 ◽  
Vol 5 (5) ◽  
pp. 23
Author(s):  
Robert Rowe
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Data Structures ◽  
Digital Computer ◽  
Mental Representations ◽  
Interactive Systems ◽  
Algorithmic Composition ◽  
The World ◽  
History Of

The history of algorithmic composition using a digital computer has undergone many representations—data structures that encode some aspects of the outside world, or processes and entities within the program itself. Parallel histories in cognitive science and artificial intelligence have (of necessity) confronted their own notions of representations, including the ecological perception view of J.J. Gibson, who claims that mental representations are redundant to the affordances apparent in the world, its objects, and their relations. This review tracks these parallel histories and how the orientations and designs of multimodal interactive systems give rise to their own affordances: the representations and models used expose parameters and controls to a creator that determine how a system can be used and, thus, what it can mean.

Genes and Machines

2020 ◽  
pp. 47-69
Author(s):  
Jason Blakely
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Psychology ◽  
Political Identity ◽  
Human Beings ◽  
The Public ◽  
Public Square ◽  
Human Ability ◽  
The World ◽  
Private And Public ◽  
Computing Machines

The notion that human beings are simply sophisticated robots or computing machines has spread widely across society in the last several decades. This claim has a basis in a popular theory of cognitive psychology and artificial intelligence advanced by academics and bestselling authors such as Steven Pinker. Anxiety about a robot takeover of society is increasingly debated in the public square by the likes of Elon Musk and Mark Zuckerberg. But this view has also affected how modern people think of their experiences of depression (leading to the overprescription of antidepressants) and even their sense of political identity. Many people today believe their identities are completely determined by a machine-like coding in their genes. This can lead to both private and public forms of despair over the human ability to substantively change the world.

scholarly journals Transformational Linguistics and the Implication Towards Second Language Learning

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Noor Khasanah
Keyword(s):  
Second Language ◽  
Language Learning ◽  
Second Language Learning ◽  
Deep Structure ◽  
Mental Representations ◽  
Generative Grammar ◽  
Human Language ◽  
Teaching English ◽  
The World ◽  
Universal Pattern

The essence of Chomsky’s approach to language is the claim that there are linguistic universals in domain of syntax. He felt confident to show that syntax can be defined for any given language. For Chomsky, the nature of such mental representations is largely innate, so if a grammatical theory has explanatory adequacy it must be able to explain the various grammatical nuances of the languages of the world as relatively minor variations in the universal pattern of human language. In teaching English as L2, therefore knowing syntax and grammar of the language is important. Transformational Generative Grammar gives adequate elaboration in understanding them. Thus, the learners are expected to be able to avoid such ambiguity in interpreting the deep structure of a sentence since ambiguity will lead other people as the listeners or hearers of the speakers to misinterpret either consciously or unconsciously.  

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Logic ◽  
Natural Language ◽  
Semantic Interpretation ◽  
General View ◽  
World Model ◽  
Semantic Approach ◽  
Natural Languages ◽  
The World ◽  
Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

The Japanese Pharmacological Society

Impact ◽  
2018 ◽  
Vol 2018 (3) ◽  
pp. 50-51
Author(s):  
Akinori Akaike
Keyword(s):  
Scientific Knowledge ◽  
Applied Research ◽  
The World ◽  
Further Development

The Japanese Pharmacological Society (JPS) was established in 1927 with the express purpose of contributing to the further development of the field of pharmacology through the spread of scientific knowledge on pharmacological theory based on applied research conducted in close coordination with our fellow members as well as other affiliated academic societies throughout the world.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

Principles of induction and approaches to attribute based induction

1991 ◽  
Vol 6 (4) ◽  
pp. 307-333 ◽  
Author(s):  
G. Kalkanis ◽  
G. V. Conroy
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Cognitive Psychology ◽  
Expert Systems ◽  
Basic Principles ◽  
Inductive Approach ◽  
Induction Process

AbstractThis paper presents a survey of machine induction, studied mainly from the field of artificial intelligence, but also from the fields of pattern recognition and cognitive psychology. The paper consists of two parts: Part I discusses the basic principles and features of the machine induction process; Part II uses these principles and features to review and criticize the major supervised attribute-based induction methods. Attribute-based induction has been chosen because it is the most commonly used inductive approach in the development of expert systems and pattern recognition models.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

Overcoming Barriers To a Cognitive Psychology of Religion

2000 ◽  
Vol 12 (1-4) ◽  
pp. 141-161
Author(s):  
Robert N. Mccauley
Keyword(s):  
Cognitive Psychology ◽  
Psychology Of Religion ◽  
Cognitive Approach ◽  
The Face ◽  
Cognitive Approaches ◽  
Relationship Of ◽  
The Relationship

AbstractThe aims of this paper are to identify three barriers to the development of cognitive approaches to the study of religion and to suggest how each might be circumvented. The first of these barriers is methodological and lurks amid two issues that, historically, have dominated anthropologists' reflections on the relationship of their discipline to psychology. The older of the two can be characterized as the "psychic unity" controversy (see Shore 1995). The second issue is the controversy over the "autonomy of culture". Advocates of the latter thesis are usually unsympathetic to psychological explanations of religious phenomena. In the first section, I shall begin by briefly examining each of those issues and then exploring the connections between the two as well as interesting logical tensions that arise in the face of popular responses to each. In section two, I shall consider a pair of barriers to a cognitive psychology of religion rooted in two strategies that have dominated many psychologists' approaches to the study of religion. I will argue that for some purposes, at least, both strategies should be relaxed. Finally, in section three, I shall briefly sketch one sort of cognitive approach to religious phenomena, suggesting how it handles the two strategic barriers in particular.

Sign in / Sign up

Export Citation Format

Share Document