In the Tradition

1996 ◽  
Author(s):  
Bruce I. Blum
Keyword(s):  
Artificial Intelligence ◽  
User Interface ◽  
Graphic User Interface ◽  
Geographic Locations ◽  
Half Century ◽  
New Information ◽  
Intelligent Behavior ◽  
Electronic Computers ◽  
The Brain

Fifty years ago there were no stored-program binary electronic computers. Indeed, in the mid 1940s computer was a job description; the computer was a person. Much has happened in the ensuing half-century. whereas the motto of the 1950s was “do not bend, spindle, or mutilate,” we now have become comfortable with GUI wIMP (i.e., Graphic User Interface; windows, Icons, Mouse, and Pointers). whereas computers once were maintained in isolation and viewed through large picture windows, they now are visible office accessories and invisible utilities. whereas the single computer once was a highly prized resource, modern networks now hide even the machines’ geographic locations. Naturally, some of our perceptions have adapted to reflect these changes; however, much of our understanding remains bound to the concepts that flourished during computing’s formative years. For example, we have moved beyond thinking of computers as a giant brain (Martin 1993), but we still hold firmly to our faith in computing’s scientific foundations. The purpose of this book is to look forward and speculate about the place of computing in the next fifty years. There are many aspects of computing that make it very different from all other technologies. The development of the microchip has made digital computing ubiquitous; we are largely unaware of the computers in our wrist watches, automobiles, cameras, and household appliances. The field of artificial intelligence (AI) sees the brain as an organ with some functions that can be modeled in a computer, thereby enabling computers to exhibit “intelligent” behavior. Thus, their research seeks to extend the role of computers through applications in which they perform autonomously or act as active assistants. (For some recent overviews of AI see waldrop 1987; Crevier 1993.) In the domain of information systems, Zuboff (1988) finds that computers can both automate (routinize) and informate, that is, produce new information that serves as “a voice that symbolically renders events, objects, and processes so that they become visible, knowable, and sharable in a new way” (p. 9).

scholarly journals Artificial intelligence, dynamic efficiency and Economics

2021 ◽  
pp. 337-350
Author(s):  
Vincent Wolters
Keyword(s):  
Artificial Intelligence ◽  
Optimization Problems ◽  
Evolutionary Process ◽  
Human Action ◽  
Medical Doctor ◽  
Dynamic Efficiency ◽  
Demand And Supply ◽  
New Information ◽  
Back Ground ◽  
The Brain

In this work I will lend support to the theory of «dynamic efficien - cy», as outlined by Prof. Huerta de Soto in The Theory of Dynamic Efficiency (2010a). Whereas Huerta de Soto connects economics with ethics, I will take a different approach. Since I have a back-ground in Artificial Intelligence (A.I.), I will show that this and related fields have yielded insights that, when applied to the study of economics, may call for a different way of looking at the eco-nomy and its processes. At first glance, A.I. and economics do not seem to have a lot in common. The former is thought to attempt to build a human being; the latter is supposed to deal with depressions, growth, inflation, etc. That view is too simplistic; in fact there are strong similarities. First, economics is based on (inter-)acting individuals, i.e. on human action. A.I. tries to understand and simulate human (and animal) behavior. Second, economics deals with information pro-cessing, such as how the allocation of resources can best be orga-nized. A.I. also investigates information processing. This can be in specific systems, such as the brain, or the evolutionary process, or purely in an abstract form. Finally, A.I. tries to answer more philosophical questions like: what is intelligence? What is a mind? What is consciousness? Is there free will? These topics play a less prominent role in economics, but are sometimes touched upon, together with the related topic of the «entrepreneurial function». The paradigm that was dominant in the early days of A.I. is static in nature. Reaching a solution is done in different steps. First: gathering all necessary information. Second: processing this in - formation. Finally: the outcome of this process, a clear conclusion. Each step in the process is entirely separate. During information gathering no processing is done, and during processing, no new information is added. The conclusion reached is final and cannot change later on. Logical problems are what is mostly dealt with, finding ways in which a computer can perform deductions based on the information that is represented as logical statements. Other applications are optimization problems, and so-called «Expert Systems», developed to perform the work of a judge reaching a verdict, or a medical doctor making a diagnosis based on the symptoms of the patient. This paradigm is also called «top-down», because information flows to a central point where it is processed, or «symbolic processing», referring to deduction in formal logic.1 In economics there is a similar paradigm, and it is still the do-minant one. This is the part of economics that deals with opti - mization of resources: given costs and given prices, what is the allocation that will lead to the highest profit? Also belonging to this paradigm are the equilibrium models. Demand and supply curves are supposed to be knowable and unchangeable, and the price is a necessary outcome. The culmination is central planning that supposes all necessary information, such as demand and supply curves and available resources to be known. Based on this, the central planner determines prices.

Algorithmic decision-making? The user interface and its role for human involvement in decisions supported by artificial intelligence

Organization ◽  
2019 ◽  
Vol 26 (5) ◽  
pp. 655-672 ◽  
Author(s):  
Verena Bader ◽  
Stephan Kaiser
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
User Interface ◽  
User Involvement ◽  
Traditional View ◽  
Telecommunications Company

Artificial intelligence can provide organizations with prescriptive options for decision-making. Based on the notions of algorithmic decision-making and user involvement, we assess the role of artificial intelligence in workplace decisions. Using a case study on the implementation and use of cognitive software in a telecommunications company, we address how actors can become distanced from or remain involved in decision-making. Our results show that humans are increasingly detached from decision-making spatially as well as temporally and in terms of rational distancing and cognitive displacement. At the same time, they remain attached to decision-making because of accidental and infrastructural proximity, imposed engagement, and affective adhesion. When human and algorithmic intelligence become unbalanced in regard to humans’ attachment to decision-making, three performative effects result: deferred decisions, workarounds, and (data) manipulations. We conceptualize the user interface that presents decisions to humans as a mediator between human detachment and attachment and, thus, between algorithmic and humans’ decisions. These findings contrast the traditional view of automated media as diminishing user involvement and have useful implications for research on artificial intelligence and algorithmic decision-making in organizations.

Dorsolateral Prefrontal Cortex Enables Updating of Established Memories

2018 ◽  
Vol 29 (10) ◽  
pp. 4154-4168 ◽  
Author(s):  
Lisa Marieke Kluen ◽  
Lisa Catherine Dandolo ◽  
Gerhard Jocham ◽  
Lars Schwabe
Keyword(s):  
Prefrontal Cortex ◽  
Dorsolateral Prefrontal Cortex ◽  
Neural Mechanisms ◽  
Related Activity ◽  
Future Behavior ◽  
New Information ◽  
Dorsolateral Prefrontal ◽  
Increased Activity ◽  
The Brain

Abstract Updating established memories in light of new information is fundamental for memory to guide future behavior. However, little is known about the brain mechanisms by which existing memories can be updated. Here, we combined functional magnetic resonance imaging and multivariate representational similarity analysis to elucidate the neural mechanisms underlying the updating of consolidated memories. To this end, participants first learned face–city name pairs. Twenty-four hours later, while lying in the MRI scanner, participants were required to update some of these associations, but not others, and to encode entirely new pairs. Updating success was tested again 24 h later. Our results showed increased activity of the dorsolateral prefrontal cortex (dlPFC) specifically during the updating of existing associations that was significantly stronger than when simple retrieval or new encoding was required. The updating-related activity of the dlPFC and its functional connectivity with the hippocampus were directly linked to updating success. Furthermore, neural similarity for updated items was markedly higher in the dlPFC and this increase in dlPFC neural similarity distinguished individuals with high updating performance from those with low updating performance. Together, these findings suggest a key role of the dlPFC, presumably in interaction with the hippocampus, in the updating of established memories.

Some new insights into biology and medicine through NMR spectroscopy

1990 ◽  
Vol 333 (1632) ◽  
pp. 515-524 ◽  
Keyword(s):  
Nmr Spectroscopy ◽  
Molecular Architecture ◽  
New Information ◽  
Temporal And Spatial ◽  
Definition Of ◽  
Low Sensitivity ◽  
The Brain ◽  
Important Enzyme

The contributions to biology and medicine by NMR spectroscopy in vivo require careful definition of the problems that are studied. Temporal and spatial resolution of the biochemical information obtained are the key to success, although the latter is limited owing to low sensitivity and small concentrations of the metabolites studied. Using 31P NMR investigations in four areas are described. Control of energetics by ADP in normal and diseased muscle is shown to be important. Enzyme catalysed fluxes are obtained for creatine kinase and ATP synthase in muscle and in the human brain enzyme activity maps are derived. The measurements on the ionic environment and fluxes for H+, Na+ and K+ (Rb+) give us new information about the role of ions in cell proliferation (e.g. in cancer) and hypertension. Molecular architecture of phospholipids in vivo is readily observed and is perturbed in the brain in chronic head injury and demyelination.

scholarly journals The Role of Visual Effects: An E-Commerce Perspective on the Nigerian Arts and Crafts

2021 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Afeez Babatunde Siyanbola ◽  
Michael Abiodun Oyinloye ◽  
Johnson O. Oladesu ◽  
Adedola Olayinka Adeyemi
Keyword(s):  
User Interface ◽  
Social Science ◽  
Viable Alternative ◽  
Arts And Crafts ◽  
Graphic User Interface ◽  
Visual Effects ◽  
Shopping Experience ◽  
Retail Shopping

This paper explores the role of colour and visual weight in developing craftsential e-commerce platform for enhancing the patronage of Nigerian arts and crafts. The paper articulates the impressive embrace of e-commerce as a viable alternative to physical retail shopping. The graphic user interface of craftsential e-commerce platform developed to exclusively promote arts and crafts was explored vis-à-vis colours and visual weight of the sites visual indicators and icons. The study administered the questionnaires on three hundred and thirteen respondents constituting of e-commerce users, graphic designers/artists and programmers. Statistical Package of Social Science (SPSS) was used to analyze the results. Findings revealed that the colourful graphic user interface (look and feel) of e-commerce stores facilitates immersive shopping experience online and concise visual weight and direction in the atmospheric cue of e-commerce stores, enhancing navigation. The study recommended that makers and sellers of Nigerian crafts should explore the limitless opportunities offered by e-commerce to leverage an impressive market embrace of their products that transcend their geographical constrains. In addition, to stimulate shopper’s interest, the images of retailed craft works displayed on e-commerce stores should reflect the product merchandizing, clarity and attractiveness that enhance shopping experience.

scholarly journals Role of Artificial Intelligence in Fighting Antimicrobial Resistance in Pediatrics

Antibiotics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 767 ◽  
Author(s):  
Umberto Fanelli ◽  
Marco Pappalardo ◽  
Vincenzo Chinè ◽  
Pierpacifico Gismondi ◽  
Cosimo Neglia ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Antimicrobial Resistance ◽  
Antimicrobial Stewardship ◽  
Potential Role ◽  
Antimicrobial Agents ◽  
Primary Role ◽  
Science And Engineering ◽  
Intelligent Behavior ◽  
Applications Of Ai

Artificial intelligence (AI) is a field of science and engineering concerned with the computational understanding of what is commonly called intelligent behavior. AI is extremely useful in many human activities including medicine. The aim of our narrative review is to show the potential role of AI in fighting antimicrobial resistance in pediatric patients. We searched for PubMed articles published from April 2010 to April 2020 containing the keywords “artificial intelligence”, “machine learning”, “antimicrobial resistance”, “antimicrobial stewardship”, “pediatric”, and “children”, and we described the different strategies for the application of AI in these fields. Literature analysis showed that the applications of AI in health care are potentially endless, contributing to a reduction in the development time of new antimicrobial agents, greater diagnostic and therapeutic appropriateness, and, simultaneously, a reduction in costs. Most of the proposed AI solutions for medicine are not intended to replace the doctor’s opinion or expertise, but to provide a useful tool for easing their work. Considering pediatric infectious diseases, AI could play a primary role in fighting antibiotic resistance. In the pediatric field, a greater willingness to invest in this field could help antimicrobial stewardship reach levels of effectiveness that were unthinkable a few years ago.

scholarly journals Relating the Past with the Present: Information Integration and Segregation during Ongoing Narrative Processing

2021 ◽  
pp. 1-23
Author(s):  
Claire H. C. Chang ◽  
Christina Lazaridi ◽  
Yaara Yeshurun ◽  
Kenneth A. Norman ◽  
Uri Hasson
Keyword(s):  
Information Integration ◽  
Part C ◽  
The Past ◽  
Narrative Processing ◽  
Shared History ◽  
New Information ◽  
Present Information ◽  
Event Representations ◽  
The Brain

Abstract This study examined how the brain dynamically updates event representations by integrating new information over multiple minutes while segregating irrelevant input. A professional writer custom-designed a narrative with two independent storylines, interleaving across minute-long segments (ABAB). In the last (C) part, characters from the two storylines meet and their shared history is revealed. Part C is designed to induce the spontaneous recall of past events, upon the recurrence of narrative motifs from A/B, and to shed new light on them. Our fMRI results showed storyline-specific neural patterns, which were reinstated (i.e., became more active) during storyline transitions. This effect increased along the processing timescale hierarchy, peaking in the default mode network. Similarly, the neural reinstatement of motifs was found during Part C. Furthermore, participants showing stronger motif reinstatement performed better in integrating A/B and C events, demonstrating the role of memory reactivation in information integration over intervening irrelevant events.

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