Scaled Worlds as Research Tools: A Demonstration

1998 ◽  
Vol 42 (16) ◽  
pp. 1157-1157
Author(s):  
Brian D. Ehret
Keyword(s):  
Task Performance ◽  
Information Flow ◽  
Dynamic Environments ◽  
Task Environment ◽  
Complex Dynamic ◽  
Situation Assessment ◽  
Critical Elements ◽  
Research Tools ◽  
Scaled World

Efforts to study cognition in complex, dynamic environments can be hampered by difficulty in accurately tracking information flow. This problem can be tackled by studying task performance in the context of a scaled world—an abstracted version of the task environment designed to elucidate information flow while maintaining the critical elements of that environment. This demonstration will illustrate a scaled world developed for research on submariner situation assessment and is a companion to Ehret, Kirschenbaum and Gray, “Contending with Complexity: The Development and Use of Scaled Worlds as Research Tools” (this volume).

Contending with Complexity: The Development and Use of Scaled Worlds as Research Tools

1998 ◽  
Vol 42 (3) ◽  
pp. 254-257 ◽  
Author(s):  
Brian D. Ehret ◽  
Susan S. Kirschenbaum ◽  
Wayne D. Gray
Keyword(s):  
Task Performance ◽  
Information Flow ◽  
Real World ◽  
Task Environment ◽  
Research Project ◽  
Critical Elements ◽  
Research Tools ◽  
Scaled World

Complex, real-world behavior takes place in complex, real-world environments. Efforts to study cognition in such environments can be hampered by difficulty in accurately tracking information flow. This problem may be tackled by studying task performance in the context of a scaled world—an abstracted version of the task environment designed to elucidate information flow while maintaining the critical elements ofthat environment. Scaled worlds are discussed in the context of our current research, Project NEMO.

Transforming organizational culture in complex, dynamic environments for safety

2009 ◽  
Author(s):  
Sallie J. Weaver ◽  
Rebecca Lyons ◽  
Eduardo Salas ◽  
David A. Hofmann
Keyword(s):  
Organizational Culture ◽  
Dynamic Environments ◽  
Complex Dynamic

scholarly journals Uncertainties in complex dynamic environments

2014 ◽  
Vol Volume 2 ◽  
Author(s):  
Hasmik Atoyan ◽  
Jean-Marc Robert ◽  
Jean-Rémi Duquet
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
User Interfaces ◽  
Dynamic Environments ◽  
Decision Making Process ◽  
Uncertain Information ◽  
Complex Environments ◽  
Complex Dynamic ◽  
Different Types ◽  
Machine Systems

The utilization of Decision Support Systems (DSS) in complex dynamic environments leads the human operator almost inevitably to having to face several types of uncertainties. Thus it is essential for system designers to clearly understand the different types of uncertainties that could exist in human-machine systems of complex environments, to know their impacts on the operator's trust in the systems and decision-making process, and to have guidelines on how to present uncertain information on user interfaces. It is also essential for them to have an overview of the different stages, levels, and types of system automation, and to know their possible impacts on the creation of different types of uncertainties. This paper investigates these topics and aim at helping researchers and practitioners to deal with uncertainties in complex environments.

scholarly journals Stimulus-Driven Orienting of Visuo-Spatial Attention in Complex Dynamic Environments

Neuron ◽  
2011 ◽  
Vol 69 (5) ◽  
pp. 1015-1028 ◽  
Author(s):  
Davide Nardo ◽  
Valerio Santangelo ◽  
Emiliano Macaluso
Keyword(s):  
Spatial Attention ◽  
Dynamic Environments ◽  
Complex Dynamic

scholarly journals Tuning environmental timescales to evolve and maintain generalists

2020 ◽  
Vol 117 (23) ◽  
pp. 12693-12699 ◽  
Author(s):  
Vedant Sachdeva ◽  
Kabir Husain ◽  
Jiming Sheng ◽  
Shenshen Wang ◽  
Arvind Murugan
Keyword(s):  
Neutralizing Antibodies ◽  
Environmental Changes ◽  
Dynamic Environments ◽  
Affinity Maturation ◽  
Natural Environments ◽  
Broadly Neutralizing Antibodies ◽  
Complex Dynamic ◽  
Changing Environments ◽  
Cell Affinity ◽  
Do So

Natural environments can present diverse challenges, but some genotypes remain fit across many environments. Such “generalists” can be hard to evolve, outcompeted by specialists fitter in any particular environment. Here, inspired by the search for broadly neutralizing antibodies during B cell affinity maturation, we demonstrate that environmental changes on an intermediate timescale can reliably evolve generalists, even when faster or slower environmental changes are unable to do so. We find that changing environments on timescales comparable with evolutionary transients in a population enhance the rate of evolving generalists from specialists, without enhancing the reverse process. The yield of generalists is further increased in more complex dynamic environments, such as a “chirp” of increasing frequency. Our work offers design principles for how nonequilibrium fitness “seascapes” can dynamically funnel populations to genotypes unobtainable in static environments.

PLANNING AND REACTING ACROSS SUPERVENIENT LEVELS OF REPRESENTATION

1992 ◽  
Vol 01 (03n04) ◽  
pp. 411-449 ◽  
Author(s):  
LEE SPECTOR ◽  
JAMES HENDLER
Keyword(s):  
Control Systems ◽  
Intelligent Systems ◽  
Hierarchical Control ◽  
Dynamic Environments ◽  
Ai Planning ◽  
Planning Systems ◽  
Complex Dynamic ◽  
Strong Constraint ◽  
External Agents

For intelligent systems to interact with external agents and changing domains, they must be able to perceive and to affect their environments while computing long term projection (planning) of future states. This paper describes and demonstrates the supervenience architecture, a multilevel architecture for integrating planning and reacting in complex, dynamic environments. We briefly review the underlying concept of supervenience, a form of abstraction with affinities both to abstraction in AI planning systems, and to knowledge-partitioning schemes in hierarchical control systems. We show how this concept can be distilled into a strong constraint on the design of dynamic-world planning systems. We then describe the supervenience architecture and an implementation of the architecture called APE (for Abstraction-Partitioned Evaluator). The application of APE to the HomeBot domain is used to demonstrate the capabilities of the architecture.

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