Music and Movement
... Constructive use of time
Alternatives to negative behaviors
How to be creative
... Exploration within an established Conceptual
More likely to arise from a thorough and
persistent search of a well-understood space
(criterion 3 of Newell and Simon)
... information-processing in the nervous system
Journal Information Sheet - Society for Industrial and Applied
... Provides coverage of the most significant work taking place in the mathematical and formal aspects
of computer science and nonnumerical computing. Topics include but are not limited to analysis and
design of algorithms, algorithmic game theory, data structures, computational complexity, computationa ...
Fast thinking article 1
... Within this global workspace strategies of
selecting salient events are based on some
Successful strategies are usually associated with
some reward system that favours certain strategies over others. The rewards the brain processes are beginning to be better understood5.
Cognitive and ...
Classnotes chapter 3: Cognitive foundations of entrepreneurship
... The raw materials for creativity and opportunity recognition: Mental
structures that allow us to store—and use—information.
Why do some persons generate ideas for new products or services?
The answer seems to involve having just the right combination of past experiences.
Because everyone’s experienc ...
... demonstrate particular features of, a system or hypothesis.
Talk title: Creative Cognitive Systems Ana
... systems, while human creative cognition approaches center on working to understand
the processes and types of representations humans use when being creative or
creatively problem solving. An interdisciplinary cognitive science approach is however
possible: building cognitively inspired systems which ...
... Artificial Intelligence - definition
• Artificial intelligence – a field that
draws on concepts from both
cognitive psychology and computer
science to develop artificial systems
that display some aspects of humanlike intelligence
Presentation - WordPress.com
... can separate important from irrelevant information
can separate distracting alternatives which interfere with
determines planning and categorising
has higher concept formation skills
can analyze information
Result: Bilingualism has an impact on creative problem-solving
Rice U. Presentation on Intelligence Quotient
... statistical concept and has a
statistical answer. Is the test equally
predictive? Are the slopes the
same? Some historical abuses have
clouded this issue. Political issues
and scientific issues get confused
Paul Churchland`s Call for a Paradigm Shift in Cognitive Science
... Origins of Cognitive Science
The “Classical” Symbolic Paradigm: Human cognition is a
computational process based on the manipulation of discrete
symbols in accordance with a combinatorial syntax.
The only way the brain can generate any one of the infinite set of
possible human behavioral outputs is ...
School of Science and Technology – Vice
... outcome for patients. Predictive tools can help during the complex decision-making
processes, and provide individualised, evidence-based estimates for cancer patients. The
predictive models can be based on statistical or computational intelligence techniques.
Computational intelligence is a relative ...
Roman German VS Chernyshenko, scientific supervisor ML Isakova
... of people, no matter how deeply they are into science. Let’s touch one of many
implementations of AI which knows how to recognize faces, helps you with weather
prediction and understands your handwriting better than you do.
According to Wikipedia definition, an artificial neural network, often just
Discourse and creativity - Reading`s CentAUR
... between discourse and creativity. It is divided into four sections, each
focusing on a different type of discourse: The first section explores literary
discourse, the second focuses on creativity in corporate and professional
discourse, the third on creativity in multimodal discourse of various kind ...
Extracting Single-trialViews of Brain Activity
... unprepared to deal with the activity of the tens to hundreds of neurons that we can now
monitor simultaneously. To make further scientific progress with the ever-growing volume
of neural data being collected, new analytical methods are needed that can leverage the
simultaneous recording of large pop ...
The Interdisciplinary Scientist of the 21st Century
... Director, NIGMS Center for Bioinformatics
and Computational Biology
Chair, NIH Biomedical Information Science
and Technology Initiative Consortium
For the DIMACS Conference on Mathematics
and Biology in the High Schools
April 29, 2005
06 - The Creativity Process
... Enjoys putting together workable solutions;
Likes to examine the pluses and minuses of
Likes to compare competing solutions;
Enjoys thinking about, and planning, the
steps to implement an idea;
Enjoys analyzing potential solutions; and
Can get stuck in developing the perfect
Graduiertenkolleg Adaptivity in Hybrid Cognitive Systems Artificial
... 1. One can translate symbolic systems into artificial neural networks and vice versa:
a. Symbols and their relations are mapped to the network topology.
b. The network topology and weights of the nets are directly translated into (Fuzzy-)
symbolic systems (often as an inverse procedure to 1a.).
2. B ...
levin kuhlmann - Department of Cognitive and Neural Systems
... Supervisors: Prof. Stephen Grossberg and Prof. Ennio Mingolla.
Shape from texture refers to the perception of 3D shape one experiences when one monocularly views a
textured surface. Essentially, light rays reflected from the 3D surface are projected onto the 2D retina of
the observer. The texture on ...
... History of neural network
• Neural network simulations appear to be a recent
development. However, this field was established
before the advent of computers, and has survived at
least one major setback and several eras.
• The first artificial neuron was produced in 1943 by
the neurophysiologist War ...
... How do neural networks respond to instantaneous perturbations of their activity? This question
has been the subject of intense investigation ever since the advent of optogenetic perturbation
techniques, which allow us to instantaneously perturb neural activity and record the response. We
do not yet ...
STAT 361: Computational Statistics
... No matter what the situation is, I have ZERO tolerance for plagiarizing (cheating). If one
chooses to copy others’ work, s\he chooses grade over learning and is unfair to her\his
classmates. There will be legal consequences.
Computational creativity (also known as artificial creativity, mechanical creativity or creative computation) is a multidisciplinary endeavour that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, and the arts.The goal of computational creativity is to model, simulate or replicate creativity using a computer, to achieve one of several ends: To construct a program or computer capable of human-level creativity. To better understand human creativity and to formulate an algorithmic perspective on creative behavior in humans. To design programs that can enhance human creativity without necessarily being creative themselves.The field of computational creativity concerns itself with theoretical and practical issues in the study of creativity. Theoretical work on the nature and proper definition of creativity is performed in parallel with practical work on the implementation of systems that exhibit creativity, with one strand of work informing the other.