Musical Information Beyond Measurement and Computation

2016 ◽  
pp. 100-120 ◽  
Author(s):  
Mark Reybrouck
Keyword(s):  
Information Processing ◽  
Perceptual Experience ◽  
Autonomous Agents ◽  
Systems Approach ◽  
Classical Model ◽  
Symbolic Play ◽  
Conceptual Approach ◽  
Musical Knowledge ◽  
Mental Operations ◽  
Music Information

This chapter elaborates on the concepts of music information and information processing by bringing together the fields of computation, cybernetics and the dynamic systems approach. It conceives of music users as autonomous agents that behave as adaptive devices that construct their musical knowledge as the outcome of continuous epistemic interactions with the sonic world. As such, it challenges the classical symbolic-conceptual approach to musical information in terms of static, discrete and objective categories in favor of a trans-classical model that relies on subjective, process-like and non-discrete categories of meaning. In an attempt to go beyond traditional dichotomies, it proposes a hybrid perceptual-conceptual approach that does justice both to the richness and fullness of perceptual experience and the plasticity of mental operations in a kind of symbolic play.

Handedness may be More Important than Sex as a Variable Underlying Individual Differences in Visual Performance

1983 ◽  
Vol 27 (8) ◽  
pp. 715-719
Author(s):  
Gary D. Sloan
Keyword(s):  
Sex Differences ◽  
Information Processing ◽  
Individual Differences ◽  
Perceptual Organization ◽  
Perceptual Experience ◽  
Visual Performance ◽  
Relative Location ◽  
Left And Right ◽  
Decision Axis ◽  
Practical Implications

Evidence is presented that there are individual differences in the early stages of information processing which are due, in part, to the criteria adopted by the left and right hemispheres in perceptual organization. Sex differences were found in organization criteria and in the extent that both hemispheres participate in ordering perceptual experience. Of perhaps greater importance in terms of practical implications, significant and dramatic differences were found in perceptual organization for “extreme right-handers” and “right-handers who tend towards mix-handedness.” “Mixed-handers” of both sexes grouped states into perceptual units to a significantly greater extent than their very right-handed counterparts. A method is described for determining the relative location of grouping criteria on the decision axis.

From Pattern Recognition to Economic Disequilibrium

2019 ◽  
Vol 51 (S1) ◽  
pp. 180-203
Author(s):  
Olessia Kirtchik
Keyword(s):  
Pattern Recognition ◽  
Information Processing ◽  
Autonomous Agents ◽  
Soviet Economy ◽  
Optimal Planning ◽  
Analytic Framework ◽  
Mathematical Economics ◽  
Third Way ◽  
Fixed Price ◽  
Styles Of Reasoning

This article is focused on the economic works of the Soviet machinelearning pioneer Emmanuil Braverman, who published, during the 1970s, a series of papers introducing disequilibrium fixed-price models of the Soviet economy. This highly original theory, developed independently from the Western analyses of disequilibria, proposed rationing mechanisms capable, under some conditions, of bringing a system to the state of equilibrium. However, in a fixed-price economy, equilibria are not necessarily optimal or effective; therefore specific observational and analytic procedures aiming at bringing a system to a better state had to be invented. Braverman interpreted this analytic framework as a “qualitative system of control” of the Soviet economy representing a sort of a third-way solution between neoclassical models of spontaneous coordination of autonomous agents and theories of optimal planning. This innovative approach, very different from the styles of reasoning in mathematical economics of his time, was grounded in his work on pattern recognition and informed by a cybernetic vision of control as information processing and communication in complex systems.

Office automation: a conceptual approach

1982 ◽  
Vol 5 (5) ◽  
pp. 169-172 ◽  
Author(s):  
Alex Bavelas ◽  
James MacGregor ◽  
Frank Safayeni
Keyword(s):  
Information Processing ◽  
Social Structure ◽  
Office Automation ◽  
Information Processing Model ◽  
Conceptual Approach ◽  
The Social ◽  
The Relationship

The problem of office automation is considered within the context of an information processing model of an office. The model considers the relationship between the input variety. output variety, and the transformational variety available to an office which changes the input variety to a desired level of output variety. The transformational activity is considered in terms of a network of task dependencies, and a corresponding social structure. The relationship between the network of task dependencies and the social structure is discussed and emphasis is placed on research that considers the prohlem in an in tegrated manner.

scholarly journals A “NEW NORMAL” CONCEPTUAL APPROACH; AUGMENTED REALITY (AR) TOURISM IN TERENGGANU

2021 ◽  
Author(s):  
Faizal Mustapha ◽  
◽  
Fathilah Ismail ◽  
Mohd Khairul Hafiz Muda ◽  
Mohd Na’im Abdullah ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Classical Model ◽  
Modern Technology ◽  
Tourism Industry ◽  
Ease Of Use ◽  
High Tech ◽  
Economic Downturn ◽  
Conceptual Approach ◽  
New Normal ◽  
Services Delivery

Tourism is one of the sectors that has been badly affected by the COVID-19 pandemic. Consequently, governments around the globe have taken measures to ease the effect of the resulting economic downturn on households and businesses in a bid to prolong survivability of the public. In the longer run, this tourism industry will desperately need to adapt to a post-pandemic “new normal” to sustain the income of its tourism players and operators. The alternative to coping with the new normal is to migrate from the classical model to an advanced or high-technology approach. “High-Tech” devices or tools can play an important role towards the recovery of the tourism industry following the upheaval caused by the pandemic. The new standard operating procedures (SOPs) to mitigate the spread of the disease, health consciousness and better hygiene protocols, and as well as social distancing are likely to remain in place for the foreseeable future. Touchless services delivery and investments in digital technology could facilitate an industry-wide recovery. The use of modern technology is quickly becoming a necessity for many destinations in order to stay competitive and attractive in the new norm of the tourism industry. A new form of technology that may be suitable for the tourism industry to use to regain some of its former glory is that of virtual and or Augmented Reality (AR). The aim of this paper is to give industry players an insight into the basic design of a mobile AR Tourism application for the state of Terengganu in Malaysia. Several interesting places will be selected for AR Tourism research and practice. The AR Tourism app will be designed to serve a specific purpose for the user, while multi-language functionality, ease-of-use and the capability to personalise the app are among the main requirements that need to be considered in attracting tourists and encouraging regular use among travel enthusiasts.

A new paradigm?

2002 ◽  
Vol 25 (5) ◽  
pp. 621-622
Author(s):  
John D. Bonvillian ◽  
Francine G. P. Patterson
Keyword(s):  
Information Processing ◽  
Dynamic Systems ◽  
Systems Approach ◽  
New Paradigm ◽  
Language Research ◽  
Ape Language

Shanker & King argue for a shift in the focus of ape language research from an emphasis on information processing to a dynamic systems approach. We differ from these authors in our understanding of how this “new paradigm” emerged and in our perceptions of its limitations. We see information processing and dynamic systems as complementary approaches in the study of communication.

Perceptual experience as a bridge between the retina and a bicoded cognitive map

2013 ◽  
Vol 36 (5) ◽  
pp. 549-549
Author(s):  
Frank H. Durgin ◽  
Zhi Li
Keyword(s):  
Information Processing ◽  
Perceptual Experience ◽  
Route Planning ◽  
Cognitive Maps ◽  
Surface Orientation ◽  
Cognitive Map ◽  
Egocentric Distance ◽  
Perceptual Representations ◽  
Systematic Biases ◽  
Metric Information

AbstractThe bicoded cognitive maps described by Jeffery et al. are compared to metric perceptual representations. Systematic biases in perceptual experience of egocentric distance, height, and surface orientation may reflect information processing choices to retain information critical for immediate action (Durgin et al. 2010a). Different information processing goals (route planning vs. immediate action) require different metric information.

Innovations in Modeling Social Good: A Demonstration With Juvenile Justice Intervention

2019 ◽  
Vol 30 (2) ◽  
pp. 174-185
Author(s):  
JoAnn S. Lee ◽  
Michael Wolf-Branigin
Keyword(s):  
Juvenile Justice ◽  
Complexity Theory ◽  
Autonomous Agents ◽  
Systems Approach ◽  
Methodological Approach ◽  
Innovative Technology ◽  
Social Good ◽  
Policies And Programs ◽  
Socially Excluded ◽  
The Impact

Objectives: Using agent-based modeling (ABM) within a complexity theory framework provides an alternative and promising method for significantly advancing the study of social good. Complexity theory is a systems approach based on the idea that aggregate patterns arise from the interactions of agents and their environments. Such systems operate according to a set of simple rules, and patterns emerge from these simple interactions that sometimes cannot be predicted by examining those interactions alone. ABM is a computational approach that simulates the interactions of autonomous agents with each other and their environments (social and/or physical). Methods: We adapted the Rebellion model from the NetLogo software library to demonstrate the potential of this approach to measure social good. Specifically, we examine the impact of variables related to juvenile justice involvement on the converse of social good, social exclusion, which in this model was conceptualized as the lack of educational attainment among youth at risk of juvenile justice involvement. After designing our ABM, we ran a total of 2400 simulations where we systematically varied key variables, including arrest risk and maximum sentence. Results: We report the descriptive statistics from our simulations for key output variables in the ABM, including percent socially excluded and average accumulated jail time, and demonstrate the usefulness of this method by identifying nonlinear, bivariate associations across the simulations. Conclusion: Our model demonstrates the usefulness of an innovative methodological approach, complexity theory, coupled with an innovative technology, ABM, in developing policies and programs that will maximize social good.

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