How is the Oxford University study different from past studies on the effects of video games?
A
It included measurements of game playing time as well as gamers' experiences.
B
It used different mental health and mood metrics than previous studies.
C
It included device data provided by game companies.
D
It used popular video games rather than those built for the study.
Answer: C
Explanation: I took the quiz
1. Most crashes occur at intersections because
a. drivers fail to search and identify a safe path of travel when
approaching an intersection
b. drivers don't identify or understand the risks
c. drivers fail to develop good driving habits to effectively manage
the risks
d. all of the above
Answer:
D
Explanation:
Because all drivers are just wreck less in driving
A) Using the Genetic algorithm approach – reproduction crossover and mutation technique, determine the number of guesses that will enable you arrive at the following secret string of genes:
101010
Assume that four strings selected randomly as shown below have been initially presented to your opponent
A. 010100 = 1 digit correctly guessed
B. 111101 = 2 digit correctly guessed
C. 011011 = 3 digits correctly guessed
D. 101100 = 4 digits correctly guessed
(20 marks)
b) Genetic algorithms are said to be similar to a biological process.
Discuss. (5 marks)
Explanation:
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Christopher Scheidel
Christopher Scheidel
over 3 years ago
Great introduction for those new to GAs. I’ve been working with GAs for about 19 years now and another way that my business partner and I have represented them is as binary trees. With this concept you can think of mutation as “leaf replacement” or…...
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2 replies
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Jeff Flynt
Jeff Flynt
over 3 years ago
Coming from a microbiology background I understand the biology portion, but can you provide a real world problem that this can be applied to? I see you mentioned search, but can you go into more details?
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4 replies
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Dan Lovy
Dan Lovy
about 3 years ago
13
1
Very nice article. I have just completed a GA project that applies this to neural simulation —
Eranga Heshan
Eranga Heshan
over 3 years ago
Wow… Need to run the code see by myself O:)
12
1 reply
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Anuradha Wickramarachchi
Anuradha Wickramarachchi
over 3 years ago
Excellent piece of work!!
11
1 reply
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mem ento
mem ento
about 1 year ago
21
2
Hello Ms Mallawaarachchi,
Very nice article !
Germán Meléndrez Carballo
Germán Meléndrez Carballo
over 3 years ago
I think that a very valuable resource/reference you can provide is the book: Introduction to evolutionary computing, 2nd edition, A. E. Eiben & J. E. Smith.
57
1 reply
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Wenderson Júnio
Wenderson Júnio
about 3 years ago
Awesome ! Very well explained ! Thanks for sharing.
11
1 reply
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Dip Patel
Dip Patel
over 3 years ago
Great Post!!
Can you do more deeper into Evaluation Strategies in next post ?
10
1 reply
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Arun Prasad T S V
Arun Prasad T S V
over 3 years ago
Hello!
Please share the coding for creating cryptography (encryption,decryption) using genetic algorithm.
with regards,
T.S.V.ARUNPRASAD
10
1 reply
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Introduction to Genetic Algorithms — Including Example Code
Vijini Mallawaarachchi
Vijini Mallawaarachchi
Jul 8, 2017·4 min read
A genetic algorithm is a search heuristic that is inspired by Charles Darwin’s theory of natural evolution. This algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction in order to produce offspring of the next generation.
Image for post
Notion of Natural Selection
The process of natural selection starts with the selection of fittest individuals from a population. They produce offspring which inherit the characteristics of the parents and will be added to the next generation. If parents have better fitness, their offspring will be better than parents and have a better chance at surviving. This process keeps on iterating and at the end, a generation with the fittest individuals will be found.
This notion can be applied for a search problem. We consider a set of solutions for a problem and select the set of best ones out of them.
Five phases are considered in a genetic algorithm.
Initial population
Fitness function
Selection
Crossover
Mutation
Initial Population
The process begins with a set of individuals which is called a Population. Each individual is a solution to the problem you want to solve.
An individual is characterized by a set of parameters (variables) known as Genes. Genes are joined into a string to form a Chromosome (solution).
In a genetic algorithm, the set of genes of an individual is represented using a string, in terms of an alphabet. Usually, binary values are used (string of 1s and 0s). We say that we encode the genes in a chromosome.
Image for post
Population, Chromosomes and Genes
2. If the traffic light is not functioning at the intersection,
drivers should
a. go through the intersection first
b. proceed with caution and use right of way laws
c. sit and wait for a police officer
d. there are no rules
Answer: If the traffic light is not functioning at the intersection,
drivers should b. proceed with caution and use right of way laws
Explanation:
You approach an intersection and the traffic signal lights are NOT working. You must make a complete stop and then proceed when it is safe to do so.
Which scenario is an example of feedback?
A human adopts a pet dog and teaches the dog its name.
A plant grows around a rock in order to reach the sunlight.
A plant takes energy from sunlight and turns it into an energy source.
An animal passes its genes on to its offspring.
Answer: B.
Explanation:
A plant grows around a rock in order to reach the sunlight
The example of feedback is A plant grows around a rock in order to reach the sunlight.
The following information should be considered;
The feedback refers to the information related to the reactions to a product. In the given situation, the second option should be correct as it represent the feedback.learn more: https://brainly.com/question/1691136?referrer=searchResults
the risk of heart disease, type II diabetes, heart attacks and strokes can be reduced by: a. improving flexibility
b. Improving cardiorespiratory endurance
c. Improving muscular strength
d. Improving muscular endurance
What two mandates did the Affordable Care Act incorporate?
Answer:
Questions and answer sfgfdfhjjg ghjjcfdd
Barrier: Between work, family, and other demands, I am too busy to exercise. What is a good solution?
Answer:
i would push away every thing and take ur time to do what ever u want to do
Explanation:
U have to live life cause u get one chance so do what makes u happy
Answer:
i think taking walks is a good solution
Explanation:
try to find ways to walk around outside for 20 minutes a day
Which statement is true based on the two labels?
Product A has 5 grams of protein.
O Product B has 6 grams of sugar.
Product A has a serving size of 1 gram.
O Product B has fewer calories than Product A.
Answer:its d
Explanation:
product b has fewer calories then product a
A 68-year-old mechanic presents to the emergency room for shortness of breath. You are concerned about a cardiac cause andmeasure his jugular venous pressure (JVP).
Answer:
I'm they taught me a little bit so maybe his lungs were to weak for all that work
