Absolute pitch accessible to everyone by turning off part of the brain?

2004 ◽  
Vol 9 (2) ◽  
pp. 181-189 ◽  
Author(s):  
TERRY BOSSOMAIER ◽  
ALLAN SNYDER
Keyword(s):  
Adult Population ◽  
Absolute Pitch ◽  
Agent Based ◽  
Early Maturation ◽  
Inhibitory Processes ◽  
Agent Based Modelling ◽  
Music Recognition ◽  
Modelling Techniques ◽  
The Mind ◽  
The Brain

Absolute (or perfect) pitch exists in fewer than 1/10,000 of the adult population and many claim that it cannot be taught. On the other hand, research suggests that the mechanisms for absolute pitch exist in us all but access is inhibited during early maturation. We here argue that this inhibition can be switched off by artificially turning off part of the brain, allowing everyone access to absolute pitch. This possibility has profound implications for understanding the strategies adopted by the complex networks of the mind. We describe agent-based modelling techniques to understand the computational rationale for these inhibitory processes and to develop new artificial music recognition and synthesis techniques.

Long-term Macroeconomic Dynamics of Competition in the Russian Economy using Agent- based Modelling

2017 ◽  
Vol 6 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Tatyana Eftonova ◽  
Mariam Kiran ◽  
Mike Stannett
Keyword(s):  
Dynamic Behaviour ◽  
Economic Modelling ◽  
Macroeconomic Dynamics ◽  
Agent Based ◽  
Economic Agents ◽  
Agent Based Modelling ◽  
Russian Economy ◽  
Modelling Techniques ◽  
Modelling Approach

Agent-based economic modelling techniques are increasingly being used to complement standard economic simulations. This paper re-models a standard equation-based simulation model of the Russian macroeconomy in an agent-based setup, and uses it to investigate the effect that antimonopoly legislation can be expected to have upon long-term dynamic behaviour. The results reveal various potential outcomes which would have not been visible using traditional equation-based modelling techniques. While the number of economic agents has been kept deliberately small in the work presented here, the modelling approach is scalable to systems incorporating many millions of agents.

From Childhood Poverty to Catfish

2012 ◽  
pp. 79-98
Author(s):  
France Cheong ◽  
Brian Corbitt
Keyword(s):  
System Dynamics ◽  
Optimal Strategies ◽  
Simulation Modelling ◽  
Strategic Decision ◽  
Childhood Poverty ◽  
Agent Based ◽  
Participatory Modelling ◽  
Agent Based Modelling ◽  
Modelling Framework ◽  
Modelling Techniques

Strategic decision makers are frequently faced with unstructured problems that cannot be solved adequately by analytical means. In such situations, a better decision-making approach is one based on stakeholders’ participation. A particular form of such an approach is known as participatory modelling, whereby participatory methods are used for knowledge elicitation while simulation modelling techniques are used to determine optimal strategies. In this paper, the authors discuss a participatory modelling framework using agent-based modelling and System Dynamics, which illustrates the use of the framework for two projects. These projects include participatory agent-based modelling of childhood poverty in Vietnam, and participatory System Dynamics modelling of the Vietnamese catfish industry.

scholarly journals Agent-based modelling as scientific method: a case study analysing primate social behaviour

2007 ◽  
Vol 362 (1485) ◽  
pp. 1685-1699 ◽  
Author(s):  
Joanna J Bryson ◽  
Yasushi Ando ◽  
Hagen Lehmann
Keyword(s):  
Biological Sciences ◽  
Social Behaviour ◽  
Collective Effects ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Meta Level ◽  
Modelling Techniques ◽  
Micro Level ◽  
Scientific Hypotheses

A scientific methodology in general should provide two things: first, a means of explanation and, second, a mechanism for improving that explanation. Agent-based modelling (ABM) is a method that facilitates exploring the collective effects of individual action selection. The explanatory force of the model is the extent to which an observed meta-level phenomenon can be accounted for by the behaviour of its micro-level actors. This article demonstrates that this methodology can be applied to the biological sciences; agent-based models, like any other scientific hypotheses, can be tested, critiqued, generalized or specified. We review the state of the art for ABM as a methodology for biology and then present a case study based on the most widely published agent-based model in the biological sciences: Hemelrijk's DomWorld, a model of primate social behaviour. Our analysis shows some significant discrepancies between this model and the behaviour of the macaques, the genus used for our analysis. We also demonstrate that the model is not fragile: its other results are still valid and can be extended to compensate for these problems. This robustness is a standard advantage of experiment-based artificial intelligence modelling techniques over analytic modelling.

The Effects of Different Interaction Protocols in Agent-Based Simulation of Social Activities

2011 ◽  
Vol 3 (2) ◽  
pp. 18-32 ◽  
Author(s):  
Nicole Ronald ◽  
Theo Arentze ◽  
Harry Timmermans
Keyword(s):  
Decision Making ◽  
Decision Process ◽  
Social Activity ◽  
Travel Behaviour ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Interaction Protocols ◽  
Activity Generation ◽  
Modelling Techniques ◽  
Simulation Results

Decision making in models of activity and travel behaviour is usually individual-based and focuses on outcomes rather than the decision process. Using agent-based modelling techniques and incorporating interaction protocols into the model can assist in modelling decision-making in more detail. This paper describes an agent-based model of social activity generation and scheduling, in which utility-based agents interact with each other to schedule activities. Six different protocols are tested. The authors show that the model outcomes reflect minor changes in the protocol, while changing the order of the protocol leads to significantly different outcomes, hence the protocol plays a large role in the simulation results and should be studied in more detail.

From Childhood Poverty to Catfish

2010 ◽  
Vol 1 (3) ◽  
pp. 14-32 ◽  
Author(s):  
France Cheong ◽  
Brian J. Corbitt
Keyword(s):  
System Dynamics ◽  
Optimal Strategies ◽  
Simulation Modelling ◽  
Strategic Decision ◽  
Childhood Poverty ◽  
Agent Based ◽  
Participatory Modelling ◽  
Agent Based Modelling ◽  
Modelling Framework ◽  
Modelling Techniques

Strategic decision makers are frequently faced with unstructured problems that cannot be solved adequately by analytical means. In such situations, a better decision-making approach is one based on stakeholders’ participation. A particular form of such an approach is known as participatory modelling, whereby participatory methods are used for knowledge elicitation while simulation modelling techniques are used to determine optimal strategies. In this paper, the authors discuss a participatory modelling framework using agent-based modelling and System Dynamics, which illustrates the use of the framework for two projects. These projects include participatory agent-based modelling of childhood poverty in Vietnam, and participatory System Dynamics modelling of the Vietnamese catfish industry.

Lighting Up the Brain to Illuminate the Mind

2004 ◽  
Vol 49 (6) ◽  
pp. 713-716
Author(s):  
Ellen S. Berscheid
Keyword(s):  
The Mind ◽  
The Brain

How Does the Brain Make the Mind? We Do Not Know.

PsycCRITIQUES ◽  
2016 ◽  
Vol 61 (32) ◽  
Author(s):  
Christopher A. Was
Keyword(s):  
The Mind ◽  
The Brain
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