Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making

2004 ◽  
pp. 1314-1315 ◽  
Author(s):  
Xavier Llorà ◽  
Kei Ohnishi ◽  
Ying-ping Chen ◽  
David E. Goldberg ◽  
Michael E. Welge
Keyword(s):  
Decision Making ◽  
Evolutionary Computation ◽  
Chance Discovery ◽  
Creative Processes

scholarly journals Evolutionary Computation-based Decision-making Framework for Designing Water Networks to Minimize Background Leakage

2014 ◽  
Vol 89 ◽  
pp. 118-125 ◽  
Author(s):  
M.E. Shafiee ◽  
A. Berglund ◽  
E. Zechman Berglund ◽  
E. Downey Brill ◽  
G. Mahinthakumar
Keyword(s):  
Decision Making ◽  
Evolutionary Computation ◽  
Water Networks ◽  
Decision Making Framework ◽  
Background Leakage

The Psychology of Creative Processes in Music

2020 ◽  
Author(s):  
Eric Fillenz Clarke
Keyword(s):  
Decision Making ◽  
Creative Process ◽  
Psychological Functioning ◽  
Ecological Theory ◽  
Cognitive Models ◽  
Reciprocal Relationship ◽  
Creative Processes ◽  
Social Perspectives ◽  
4E Cognition ◽  
Tuning Systems

In contrast to cerebral or mentalistic psychological accounts of creative processes, this chapter argues for an approach based within the frameworks of ecological theory and 4E cognition—the idea that psychological functioning is embodied, extended, embedded, and enacted. The chapter considers “everyday” and exceptional notions of the creative process and reviews cognitive models of musical creativity as a form of decision-making, as well as the tension between individualistic and social perspectives. As an alternative, it offers an account that recognizes the reciprocal relationship between materials (instruments, notations, tuning systems, recording/playback systems) and human minds and bodies conceived individually and collectively, drawing attention to four important features of musical creating: (1) the different scales at which it takes place, (2) its temporality, (3) its distributed and collaborative character, and (4) its intimate entanglement with environmental affordances.

Chance Discovery as Analogy Based Value Sensing

2010 ◽  
Vol 1 (1) ◽  
pp. 44-57 ◽  
Author(s):  
Yukio Ohsawa ◽  
Akinori Abe ◽  
Jun Nakamura
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Abductive Reasoning ◽  
Experimental Results ◽  
Logical Framework ◽  
Chance Discovery ◽  
Analogical Thinking ◽  
Life Chance ◽  
Basic Engine ◽  
Human Decision

The authors are finding rising demands for sensing values in existing/new events and items in the real life. Chance discovery, focusing on new events significant for human decision making, can be positioned extensively as an approach to value sensing. This extension enables the innovation of various artificial systems, where human’s talent of analogical thinking comes to be the basic engine. Games for training and activating this talent are introduced, and it is clarified that these games train the an essential talent of human for chance discovery, by discussing the experimental results of these games on the logical framework of analogical abductive reasoning.

Chance Discovery as Analogy Based Value Sensing

2012 ◽  
pp. 43-56
Author(s):  
Yukio Ohsawa ◽  
Akinori Abe ◽  
Jun Nakamura
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Abductive Reasoning ◽  
Experimental Results ◽  
Logical Framework ◽  
Chance Discovery ◽  
Analogical Thinking ◽  
Life Chance ◽  
Basic Engine ◽  
Human Decision

The authors are finding rising demands for sensing values in existing/new events and items in the real life. Chance discovery, focusing on new events significant for human decision making, can be positioned extensively as an approach to value sensing. This extension enables the innovation of various artificial systems, where human’s talent of analogical thinking comes to be the basic engine. Games for training and activating this talent are introduced, and it is clarified that these games train the an essential talent of human for chance discovery, by discussing the experimental results of these games on the logical framework of analogical abductive reasoning.

DATA CRYSTALLIZATION: CHANCE DISCOVERY EXTENDED FOR DEALING WITH UNOBSERVABLE EVENTS

2005 ◽  
Vol 01 (03) ◽  
pp. 373-392 ◽  
Author(s):  
YUKIO OHSAWA
Keyword(s):  
Decision Making ◽  
Air Temperature ◽  
Real World ◽  
Structured Data ◽  
Chance Discovery ◽  
The Real ◽  
Significant Events ◽  
Granularity Level ◽  
The Given ◽  
A Current

This paper introduces the concept of chance discovery, i.e. discovery of an event significant for decision making. Then, this paper also presents a current research project on data crystallization, which is an extension of chance discovery. The need for data crystallization is that only the observable part of the real world can be stored in data. For such scattered, i.e. incomplete and ill-structured data, data crystallizing aims at presenting the hidden structure among events including unobservable ones. This is realized with a tool which inserts dummy items, corresponding to unobservable but significant events, to the given data on past events. The existence of these unobservable events and their relations with other events are visualized with KeyGraph, showing events by nodes and their relations by links, on the data with inserted dummy items. This visualization is iterated with gradually increasing the number of links in the graph. This process is similar to the crystallization of snow with gradual decrease in the air temperature. For tuning the granularity level of structure to be visualized, this tool is integrated with human's process of chance discovery. This basic method is expected to be applicable for various real world domains where chance-discovery methods have been applied.

Pedagogical Decision-Making

2017 ◽  
pp. 494-502
Author(s):  
Ryan Bledsoe
Keyword(s):  
Decision Making ◽  
Music Educators ◽  
Teacher Conceptions ◽  
Creative Processes ◽  
Music Classroom ◽  
Teacher Confidence ◽  
Music Making ◽  
Teaching Music ◽  
Teacher's Perspective ◽  
School Curricula

The implementation of technology may present challenges to music educators. These challenges include varying levels of teacher confidence with technology and aspects of creative processes such as student exploration; teacher conceptions of when music happens, risk, and failure; and school curricula. This chapter provides examples of these challenges from a music teacher’s perspective. One of the questions from my own practice is in what ways could students be makers, tinkerers, or engineers in the music classroom? I identify three principles that guide my own implementation of technology in a creativity-driven music classroom. These principles are not unique to teaching music with technology, and could underlie all music-making experiences for children.

scholarly journals Studying Collective Human Decision Making and Creativity with Evolutionary Computation

2015 ◽  
Vol 21 (3) ◽  
pp. 379-393 ◽  
Author(s):  
Hiroki Sayama ◽  
Shelley D. Dionne
Keyword(s):  
Decision Making ◽  
Evolutionary Computation ◽  
Interdisciplinary Research ◽  
Collaborative Design ◽  
Social Dynamics ◽  
Human Subjects ◽  
Computational Simulation ◽  
Idea Generation ◽  
Evolutionary Perspective ◽  
Human Decision

We report a summary of our interdisciplinary research project “Evolutionary Perspective on Collective Decision Making” that was conducted through close collaboration between computational, organizational, and social scientists at Binghamton University. We redefined collective human decision making and creativity as evolution of ecologies of ideas, where populations of ideas evolve via continual applications of evolutionary operators such as reproduction, recombination, mutation, selection, and migration of ideas, each conducted by participating humans. Based on this evolutionary perspective, we generated hypotheses about collective human decision making, using agent-based computer simulations. The hypotheses were then tested through several experiments with real human subjects. Throughout this project, we utilized evolutionary computation (EC) in non-traditional ways—(1) as a theoretical framework for reinterpreting the dynamics of idea generation and selection, (2) as a computational simulation model of collective human decision-making processes, and (3) as a research tool for collecting high-resolution experimental data on actual collaborative design and decision making from human subjects. We believe our work demonstrates untapped potential of EC for interdisciplinary research involving human and social dynamics.

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