A usage-based account of subextraction effects

2019 ◽  
Vol 30 (4) ◽  
pp. 719-750
Author(s):  
Rui P. Chaves ◽  
Adriana King
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Experimental Evidence ◽  
Framing Effect ◽  
Complex Structures ◽  
General Knowledge ◽  
World Knowledge ◽  
Long Distance ◽  
The World ◽  
Main Verb

Abstract The idea that conventionalized general knowledge – sometimes referred to as a frame – guides the perception and interpretation of the world around us has long permeated various branches of cognitive science, including psychology, linguistics, and artificial intelligence. In this paper we provide experimental evidence suggesting that frames also play a role in explaining certain long-distance dependency phenomena, as originally proposed by Deane (1991). We focus on a constraint that restricts the extraction of an NP from another NP, called subextraction, which Deane (1991) claims is ultimately a framing effect. In Experiment 1 we provide evidence showing that referents are extractable to the degree that they are deemed important for the proposition expressed by the utterance. This suggests that the world knowledge that the main verb evokes plays a key role in establishing which referents are extractable. In Experiment 2 we offer evidence suggesting that the acceptability of deep subextractions is correlated with the overall plausibility of the proposition, suggesting that complex structures can evoke complex frames as well, if sufficiently frequent and semantically coherent, and therefore more easily license deeper subextractions.

Experience-based effects

2020 ◽  
pp. 203-240
Author(s):  
Rui P. Chaves ◽  
Michael T. Putnam
Keyword(s):  
Experimental Evidence ◽  
Prior Experience ◽  
Complex Structures ◽  
World Knowledge ◽  
Situation Type ◽  
The World ◽  
Main Action ◽  
State Of Affairs ◽  
Processing Difficulty

This chapter presents experimental evidence suggesting that the acceptability of certain island violations is contingent on the prior experience that speakers have with both main situation type described by the proposition itself, and the particular syntactic construction in which it is conveyed. Highly coherent and prototypical complex structures more easily lend themselves to licensing extraction from otherwise deeply embedded positions, and comprehenders can adapt to the frequency of the input in order to overcome the processing difficulty caused when the input is unusual and inconsistent with their prior experience. Acceptability ratings thus range from highly acceptable to unacceptable, suggesting that the plausibility of the proposition itself, the degree to which the extracted phrase plays a role in the main action, and the frequency of such dependencies create a malleable acceptability cline. Acceptability differences likely stem from the proposition itself, the world knowledge it evokes, and the degree to which the extracted relevant matters for the main state-of-affairs that the utterance conveys.

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.

Overview of Global Supercomputing

2015 ◽  
pp. 1-32 ◽  
Author(s):  
Richard S. Segall ◽  
Neha Gupta
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Science Research ◽  
The World

In this chapter, a discussion is presented of what a supercomputer really is, as well as of both the top few of the world's fastest supercomputers and the overall top 500 in the world. Discussions are also of cognitive science research using supercomputers for artificial intelligence, architectural classes of supercomputers, and discussion and visualization using tables and graphs of global supercomputing comparisons across different countries. Discussion of supercomputing applications and overview of other book chapters of the entire book are all presented. This chapter serves as an introduction to the entire book and concludes with a summary of the topics of the remaining chapters of this book.

scholarly journals El problema de la representación en la filosofía cognitiva

2008 ◽  
Vol 13 ◽  
Author(s):  
Juan C. Vélez
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Point Of View ◽  
Cognitive Systems ◽  
Behavior System ◽  
Andy Clark ◽  
The World ◽  
The Mind

RESUMENLa teoría representacional de la mente, basada en el concepto de representación, ha sido muy criticada, especialmente por recientes enfoques en la ciencia cognitiva, provenientes de la Biología y la Inteligencia Artificial. En este trabajo me centro especialmente en el punto de vista de Francisco Varela, quien sugiere la exclusión del término representación en la explicación de los sistemas cognitivos. Muestro que ello no es necesario, y que hay razones para hablar de representaciones en la relación que tenemos con el mundo en términos de conocimiento, por tanto, el antirrepresentacionalismo de Varela es inadecuado. En ese sentido me parece más afortunada la apreciación que hacen de la ciencia cognitiva y la filosofía de la mente Andy Clark y Pascual Martínez-Freire, y ésta es la postura que defenderé en contra de Varela.PALABRAS CLAVEMENTE, REPRESENTACIÓN, COGNITIVISMO, CONDUCTA, SISTEMAABSTRACTThe representational theory of the mind, based on the concept of representation, has been very criticized, specially by recent approaches to cognitive science, originated from Biology and Artificial Intelligence. In this work I focus my attention specially on the point of view of Francisco Varela, who suggests the exclusion of the term representation in the explanation of cognitive systems. I show that it is unnecessary, and that there are reasons to talk about representations in the relation that we have with the world in terms of knowledge, and therefore, Varela’s antirepresentacionalism is inadequate. In that connection the appreciation that Andy Clark and Pascual Martínez-Freire do of cognitive science and the philosophy of the mind seems more fortunate to me, and this is the position that I will defend against Varela.KEYWORDSMIND, REPRESENTATION, COGNITIVISM, BEHAVIOR, SYSTEM

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).

Language and Worldview

1989 ◽  
Vol 2 (2) ◽  
pp. 13-18
Author(s):  
Alvino E. Fantini
Keyword(s):  
World Knowledge ◽  
Essential Ingredient ◽  
The World

Languages are more than mere tools. They are, in fact, paradigms of a view of the world. Knowledge of more than one language holds promise for an expanded worldview, for understanding other people on their own terms, Viewed this way, bilingualism becomes an essential ingredient in the formation of interculturally minded individuals.

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.

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.

The world in Auerbach’s mouth: Weltliteratur after philhellenism

2019 ◽  
Vol 11 (4) ◽  
pp. 427-452
Author(s):  
Mathura Umachandran
Keyword(s):  
Nineteenth Century ◽  
Comparative Literature ◽  
Human Activity ◽  
World Literature ◽  
Translation Studies ◽  
Complex Structures ◽  
Intercultural Understanding ◽  
The World

Abstract We live in an age of globalized and globalizing phenomena: the contemporary agenda of academic inquiry takes in ‘networks’, ‘connectivity’, and other modes of articulating complex structures of human activity. In Comparative Literature and beyond, the idea of world literature has borne the weight of idealist intercultural understanding, the hopes of translation studies, and the anxieties around the failure of communication. Erich Auerbach offers a touchstone in the conceptual genealogy of world literature (Weltliteratur). This article illuminates how Auerbach’s Weltliteratur is predicated on a polemic with German philhellenism, tracked through Auerbach’s declaration that his idea is ‘ungoethisch’. Auerbach’s revisions to Weltliteratur constituted a strategy to render it a historicist concept. Since Auerbach’s notion of historicism was itself derived from nineteenth-century German humanism, this essay argues that Auerbach was attempting to go with Goethe beyond Goethe. Finally, this essay assesses how successful Auerbach’s decoupling of Weltliteratur from universalism, under the sign of Goethe and the Greeks. I suggest that Weltliteratur is still a pertinent concept today because of Auerbach’s intervention to install historicist and dialectical resources therein.

A WORD-BASED CHINESE LANGUAGE UNDERSTANDING SYSTEM

1988 ◽  
Vol 02 (01) ◽  
pp. 25-35
Author(s):  
TIAN-SHUN YAO
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Chinese Language ◽  
Computer Programs ◽  
World Knowledge ◽  
Knowledge Source ◽  
Language Understanding ◽  
Language Analysis ◽  
The World

With the word-based theory of natural language processing, a word-based Chinese language understanding system has been developed. In the light of psychological language analysis and the features of the Chinese language, this theory of natural language processing is presented with the description of the computer programs based on it. The heart of the system is to define a Total Information Dictionary and the World Knowledge Source used in the system. The purpose of this research is to develop a system which can understand not only Chinese sentences but also the whole text.

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