What is the difference between genotype and phenotype?

Genotype is DNA; phenotype is observable traits result of DNA & env

What is the correct order of the three main stages in evolutionary cycle

Variation & Heredity -> Testing -> Selection & Breeding

In the evolutionary cycle, what happens during the Testing (Selection Pressure) stage?

Individuals are evaluated based on performance in a fitness challenge.

What does implicit parallelism mean?

GAs maintain and evolve multiple selections in parallel

How does roulette wheel selection contribute to genetic diversity?

It gives weaker individuals a chance to reproduce

The purpose of hyperplane sampling

Allow combining partial solutions across different genotypes

What does "Phenotype" represent in evolving morphology?

The actual 3D physical creature

What is the definition of Crossover in Genetic Algorithm Process?

Combine parts of two parents to create offspring

Which best explains 'implicit parallelism' in GA evolution?

Testing multiple genotypes at once

Which era introduced cybernetics as a control system theory in bio-inspired computing?

1950s, focused on control in machines and animals

What it means by computional parallelism?

GAs evaluation can be parallelized on multiple processors or threads

Why did Karl Sims use fitness metrics like distance in his simulations?

To guide evolution via performance

What are the steps in the genetic algorithm process?

Init â†’ Eval â†’ Select â†’ Crossover â†’ Mutation

What is the main purpose of the Evolution Theory Crash Course in relation to Genetic Algorithms?

To introduce biological evolution concepts that inspire GA in computing

Choose the correct answer that is True about 3 main stages of Evolutionary cycles.

Different head and leg sizes show variation and heredity.

What distinguishes genotype from phenotype?

Genotype = DNA, phenotype = physical traits

What roles do proteins play in the expression of genetic information? Select all that apply:

Proteins fold into 3D structures that determine traits and behavior.

Describe the term for variation

Difference among individuals in a population

What distinguishes connectionism from cybernetics in early bio-AI systems?

Cybernetics used control theory; connectionism used networks

Why is mutation essential in genetic algorithms even with good crossover?

It adds new genetic material to population

Which following answer is correct regarding the breakthrough of DeepMind's AI system AlphaFold?

AI Model capable of predicting 3D protein structure from DNA.

What is the main goal of a genetic algorithm

to find the best or nearly best solution in a large search space

The role of evolving morphology

Allows AI to design its own physical form

What is the definition of Evaluation in Genetic Algorithm Process?

Convert genotypes -> phenotypes, evaluate fitness

What is an example of computational parallelism in genetic algorithms?

Evaluating the fitness of multiple individuals simultaneously

Why is implicit parallelism important in genetic algorithms? Select all that apply.

It allows hardware-level parallel computing

According to the 2019 Swarm and Evolutionary Computation journal review, what has bio-inspired computing emerged as?

One of the most studied branches of AI

What does a "Genotype" represent in morphology?

A directed graph of body parts and connections

What does the fitness function do in a genetic algorithm?

Measures how well a solution performs

What is the 3 main stages of evolutionary cycle?

Selection & Breeding, Testing (Selection Pressure), Variation & Heredity

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Answers

1
What is the difference between genotype and phenotype?
Genotype changes frequently; phenotype is constant
Genotype is observable traits; phenotype is environmental data
Genotype is behavior; phenotype is genetic code
Genotype is DNA; phenotype is observable traits result of DNA & env
2
What is the correct order of the three main stages in evolutionary cycle
testing -> selecting & breeding -> variation
Breeding -> Fitness -> Variation
Variation & Heredity -> Testing -> Selection & Breeding
Heredity -> Mutation -> Fitness
3
What is an example of selection pressure
A game of chess
A math test in school
Reading a book quietly
Climbing a hill to get food
4
Choose the right word quited by Chris Langton and Nils Aall Barricelli on the core idea of artificial life.
"Pride makes us artificial and humility makes us real"
"No one can stop progress of artificial intellligence"
"Life as it could be."
"Every problem is solved by yet another indirection."
5
In the evolutionary cycle, what happens during the Testing (Selection Pressure) stage?
Organisms are randomly selected for reproduction.
DNA mutations are introduced.
Individuals are evaluated based on performance in a fitness challenge.
Offspring are produced by asexual reproduction.
6
Hyperplane Sampling often involving:
iii, iv
ii, iv
i, iv
i, ii
7
How does the population adapt to the environment?
Mutation
Evolves
Inheritable
Crossover
8
What does implicit parallelism mean?
GAs maintain and evolve multiple selections in parallel
Give weaker solutions a chance too
GAs evaluation can be parallelized
Keep genetic diversity
9
How did Karl Sims represent morphology in his 3D virtual creatures?
With binary genome encoding only
As recursive directed graphs
As layers of neurons
Using symbolic math expressions
10
A genetic algorithm is a __________ search algorithm inspired by natural evolution.
deterministic
probabilistic
heuristic
recursive
11
What are the specification of Search Space Complexity?
Non-linear
All
Irregular
Full of local maxima
12
How does roulette wheel selection contribute to genetic diversity?
It gives weaker individuals a chance to reproduce
It eliminates weak individuals early
It selects only the best-performing individuals
It randomly selects individuals without fitness consideration
13
The purpose of hyperplane sampling
Allow combining partial solutions across different genotypes
Explain how useful genetic structures
Multiple evolving subpopulations maintain diversity
Understand the problem of limited search in simple algorithm
14
What does "Phenotype" represent in evolving morphology?
A random mutation
A fitness score
The actual 3D physical creature
The graph of ideas
15
Which of the following is not a fitness function used in the simulation?
Walking distance
Light-seeking
Jumping height
Swimming efficiency
16
What is the definition of Crossover in Genetic Algorithm Process?
Randomly generate initial population of solutions
Convert genotypes -> phenotypes, evaluate fitness
Continue through multiple generations until a stopping condition is met
Combine parts of two parents to create offspring
17
Which best explains 'implicit parallelism' in GA evolution?
Testing multiple genotypes at once
Coding loops in GA algorithms
Splitting selection into threads
GPU-based crossover and mutation
18
Which era introduced cybernetics as a control system theory in bio-inspired computing?
1980s, focused on evolutionary robotics
1970s, focused on deep neural networks
1950s, focused on control in machines and animals
1960s, focused on robot vision
19
What it means by computional parallelism?
Improve computional speed
Implementation level parallelism in hardware and software
GAs evaluation can be parallelized on multiple processors or threads
Evaluating fitness of multiple individuals in a generation
20
Why did Karl Sims use fitness metrics like distance in his simulations?
To limit mutation rates in genotypes
To evaluate morphology complexity
To tune neural weights directly
To guide evolution via performance
21
According to the Swarm and Evolutionary Computation journal review, what year was bio-inspired computing part of AI?
2019
2013
2020
2015
22
What are the steps in the genetic algorithm process?
Init â†’ Crossover â†’ Select â†’ Eval â†’ Mutation
Eval â†’ Crossover â†’ Select â†’ Init â†’ Mutation
Init â†’ Eval â†’ Select â†’ Crossover â†’ Mutation
Init â†’ Crossover â†’ Repeat â†’ Eval â†’ Mutation
23
What is the main purpose of the Evolution Theory Crash Course in relation to Genetic Algorithms?
To teach the anatomy of living organisms
To introduce biological evolution concepts that inspire GA in computing
To explain how to build DNA models in a lab
To analyze protein structures for medical research
24
Choose the suitable genetic algorithm for genotype
Encoded solution
Iterative improve of solutions
Real world behaviour
Fitness evaluation
25
Choose the correct answer that is True about 3 main stages of Evolutionary cycles.
Testing randomly alters individuals to add diversity.
New individuals help assess fitness in a population.
Different head and leg sizes show variation and heredity.
Selection & breeding combine best parents to produce offspring.
26
What distinguishes genotype from phenotype?
Genotype = DNA, phenotype = physical traits
Genotype is behavior, phenotype is DNA
Genotype is visible traits, phenotype is inherited
Genotype changes over time, phenotype is fixed
27
What was the name of Karl Sims' 1994 paper?
Morph AI Simulation
Evolving Virtual Creatures
The Evolution Machine
Robotic AI Forms
28
Which field is associated with simulating life-like systems such as self-replicating organisms?
Genetic Algorithms
Cybernetics
Robotics
Artificial Life (A-Life)
29
Choose the correct sequence of steps in a genetic algorithm.
v, i, iii, iv, ii, vi
vi, i, ii, v, iii, iv
vi, ii, i, iii, iv, v
iii, v, iv, i, vi, ii
30
Which schema is true pattern in a genotype in Schema Theorem?
All of the above
1**0*
01**0*
**0
31
What type of graph supports recursive, modular body design?
Flowchart
Circular graph
Directed graph
Pie chart
32
What roles do proteins play in the expression of genetic information? Select all that apply:
Proteins are built from amino acids translated from DNA codons.
Proteins fold into 3D structures that determine traits and behavior.
Proteins are formed directly from DNA without any intermediaries.
Proteins are only used in muscle and tissue, not in behavior.
33
Describe the term for variation
Success of a phenotype in a given environment
The ability to pass traits to offspring
Encoded genetic information
Difference among individuals in a population
34
What distinguishes connectionism from cybernetics in early bio-AI systems?
Cybernetics used control theory; connectionism used networks
Connectionism avoided biological analogies
Cybernetics lacked any feedback models
Both used symbolic logic exclusively
35
Why is mutation essential in genetic algorithms even with good crossover?
It eliminates all low-fitness solutions
It compresses the genome size
It optimizes only the best solution
It adds new genetic material to population
36
Which following answer is correct regarding the breakthrough of DeepMind's AI system AlphaFold?
AI Model capable of predicting 3D protein structure from DNA.
Ability to pass traits to offsprings.
Encoded genetic information
Key Milestone in bio-AI convergence.
37
What is the main goal of a genetic algorithm
To delete random data
to copy human DNA
To draw pictures
to find the best or nearly best solution in a large search space
38
The role of evolving morphology
Allows AI to design its own physical form
Enables recursive, modular body generation
Evolved network that enables locomotion
Set the foundation for modern morphological AI and evolutionary robotics
39
Which of the following is NOT listed as a biological process that inspires bio-inspired computing?
Self-regulation
Natural selection
Evolution
Neural activity
40
What is the definition of Evaluation in Genetic Algorithm Process?
Randomly generate initial population of solutions
Choose individuals for breeding
Convert genotypes -> phenotypes, evaluate fitness
Combine parts of two parents to create offspring
41
What is an example of computational parallelism in genetic algorithms?
Performing crossover and mutation in isolation
Running the GA on paper
Evaluating the fitness of multiple individuals simultaneously
Freezing the genotype of one parent
42
Why is implicit parallelism important in genetic algorithms? Select all that apply.
It enables multiple schemas to evolve at once
It allows hardware-level parallel computing
It ensures diversity in the population
It makes the algorithm deterministic
43
Why repeated evolution was interative in improving population over the time?
Each generation's mutations help enhance fitness.
All of the above
It explores more solutions and gets closer to optimal options.
GAs rely on improvement via selection, crossover, and mutation.
44
What are causes of differences between offspring and their parents in GA?
Selection Pressure
Mutation
Crossover
All
45
According to the 2019 Swarm and Evolutionary Computation journal review, what has bio-inspired computing emerged as?
One of the most studied branches of AI
A tool for building mobile apps
A fading trend in AI history
A minor concept in genetic research
46
The year Connection Machine CM-5 is created in?
1994
2004
1965
1984
47
What does a "Genotype" represent in morphology?
A score of how well the creature walks
The sensor input system
A directed graph of body parts and connections
The creatureâ€™s personality
48
What is the meaning for fitness?
Evaluation of the phenotype
Find optimal or near optimal solution
Decoded solution
Encoded string representation
49
What does the fitness function do in a genetic algorithm?
Selects the mutation rate
Encodes the phenotype
Defines the genome size
Measures how well a solution performs
50
What is the 3 main stages of evolutionary cycle?
Selection & Breeding
DNA
Testing (Selection Pressure)
Variation & Heredity
51
In Roulete Wheel Selection, Each individual is given a slice of virtual wheel ______________________
Follow its mutation rate.
Proportional to Fitness.
Based on the genertic diversity among the communities.
randomly assigned regardless to fitness.
52
What does 'fitness' mean in genetic algorithm
How well you do in a test
How long you live
How much DNA you have
how fast you can change
53
Genotype is represent by using?
Nodes
Connection between parts
Edges
Body parts
54
How does the organism functions and interacts with its environment?
DNA
Genotype
Phenotype
3D structure of proteins
55
What was Frank Rosenblatt's contribution in late 1960s?
He invented the perceptron, an early model of a neural network.
He introduced convolutional neural networks for image processing.
Developed backpropagation algorithm used in training dnn
He designed the first computer to defeat a human in chess.
56
According to schema theory, what is a schema in genetic algorithms?
A pattern in a genotype (e.g., 1**0*)
A high-level overview of population fitness
A specific solution that is optimal
A hardware-accelerated algorithm
57
Biological processes such as:
Evolution
Neural Activity
Self-regulation
Genetices
58
What are the inputs of control system: Neural-like Network?
Emerges from interaction between control system and morphology
A directed graph
Sensors
Motor command to actuators
59
Richard Dawkins "Biomorphs" demonstrate the ___________________ via simples rules and based on user selection.
Fitness Function
Evolution of Complexity
Morphology Representation
Control System
60
What did John Holland achieved?
Inventor of the perceptron
Credited with formalizing genetic algorithms
Father of cybernetics
Pioneer of artificial life movement
61
What happens during the final step of the Genetic Algorithm process?
Continue through multiple generations until a stop condition is met
Randomly generate initial population of solutions
Randomly flip bits in offspring to add variation
Choose individuals for breeding
62
What task of fitness function that demonstrated the proximity to a light source for simulation?
Competition
Swimming
Light-seeking
Walking
63
In 1994, __ is developed on being the fastest supercomputer at the time
DeepFive
Agent57
IBM
Connection Machine CM-5
64
What is the definition of Mutation in Genetic Algorithm Process?
Randomly generate initial population of solutions
Convert genotypes -> phenotypes, evaluate fitness
Continue through multiple generations until a stopping condition is met
Randomly flip bits in offspring to add variation
65
What does the "crossover" step do in genetic algorithms
Mix two parent solutions to make a new one
Choose the strongest solution
Change the fitness score
Add random changes
66
According to the notes, what does DeepMind's AlphaFold AI model predict
DNA mutations over generations
Protein folding structures from DNA sequences
Breeding success in artificial organisms
Behavior patterns based on environment
67
What was the purposes of the studies Evolving Virtual Creatures (1994)?
Using machine learning to create 3D virtual environments.
How morphology, control, fitness & mutation work in computation.
Showing how fit patterns evolve to be preserved and amplified.
Creating interaction between morphology and control systems.
68
Which are components of the genotype â†’ phenotype â†’ fitness cycle in GA?
C â†’ B â†’ A
A â†’ B â†’ C
B â†’ C â†’ A
C â†’ A â†’ B
69
In the airplane wing example, what does the fitness test measure ?
the color of the wing
how long the wing is
the shape of the wing
how much lift the wing creates
70
In the airplane wing design example, how many possible wing designs exist with a 9-bit genotype?
128
1024
512
256
71
The genetic algorithm continues evolving the population until a __________ is met.
fixed phenotype
perfect genotype
stopping condition
random mutation
72
What is the purpose of bio-inspired computing?
Natural processes for computational tasks like optimization and learning
To enhance cybersecurity systems through brute-force learning
To model algorithms using social behavior
To simulate emotions in AI
73
Which aspect directly supports heredity in evolutionary computation models?
Crossover of phenotypes
Inheritance of genotypes
Mutation of environments
Evaluation via phenotype ranking
74
What are the component of the Neural-like Network control system?
Network
Behaviour
Inputs
Outputs
75
Which of the following is NOT one of the three main stages of the evolutionary cycle?
Selection & Breeding
Testing
Mutation Analysis
Variation & Heredity
76
Choose correct bio sequence from DNA to phenotype use as inspiration in GA?
A â†’ B â†’ C â†’ D
C â†’ B â†’ A â†’ D
B â†’ C â†’ D â†’ A
C â†’ A â†’ B â†’ D
77
Randomly flipping bits in offspring to introduce variation is called __________.
reproduction
encoding
mutation
crossover
78
What is the definition of Initialization in Genetic Algorithm Process?
Convert genotypes -> phenotypes, evaluate fitness
Randomly generate initial population of solutions
Randomly flip bits in offspring to add variation
Continue through multiple generations until a stopping condition is met
79
According to Goldberg & Holland, a Genetic Algorithm is best described as:
A manual search process for model tuning
A rule-based system for logic inference
A deterministic algorithm for small datasets
A probabilistic search procedure for large spaces using strings
80
Computational Parallelism can improve which part of the threads?
Increasing an amount of data stored in memory.
Correctly predict and coordinate the timing of thread execution.
Reducing data transfer between storage devices.
Improves computational and execution speed.
81
How many dimensional spaces complexity that often happned in real-world?
10000000
1 billion
100+
Depend on the situation.
82
In evolution theory, why is phenotype not always identical to genotype?
Genotype cannot change at all
Phenotype is randomly mutated only
Phenotype is affected by environment
Genotype controls only external traits
83
What does it mean for having implicit parallelism?
maintaining and evolve multiple solutions at once.
Keep genetics diversity and allow multiple "bloodline" to co-exist.
Use the roulette wheel selection process.
they can be parallelized on multiple processors or threads.
84
Who coined the term "cybernetics"?
John Holland
Nobert Wiener
Frank Rosenblatt
Chris Langton
85
Which is considered as a major subfield of AI?
Machine Learning
Optimization
Robotics
Bio-inspired computing
86
What does the schema theorem explain in GA operation?
Survival of fit patterns in genotypes
How optimal solutions are encoded
Why populations shrink over time
Fast mutation of selection function
87
What terms described the meaning of Phenotype?
The ability to pass traits to offspring.
Environmental test determining fitness.
Expressed traits depend on which living organism were tested.
Differences among individuals in a population.
88
What is a key limitation of simple search algorithms like hill-climbing?
They do not work with binary data
They always converge to global optima
They get stuck in local maxima
They require large amounts of memory
89
Which following are connected to the application to Genetic Algorithm?
Data encryption using quantum mechanics.
Traditional sequencial programming that process without equation.
Fitness evaluation and real-world behaviour modeling.
Statics rules based expert system with observable traits.
90
What is the definition of Selection in Genetic Algorithm Process?
Choose individuals for breeding
Randomly flip bits in offspring to add variation
Randomly generate initial population of solutions
Combine parts of two parents to create offspring
91
Select true statement:
Frank Rosenblatt - Focus on coordination systems
Chris Langton - Inventor of Perceptron
Norbert Wiener - Father of cybernetics
John Holland - Credited with formalizing genetic algorithm
92
The mutation often prevent premature convengergence and maintains _________________
Genetic Diversity
rapid convergence to local optima and propotional to fitness.
homogeneity among solution
Overfitting in training model
93
What is the definition of Repeat in Genetic Algorithm Process?
Convert genotypes -> phenotypes, evaluate fitness
Continue through multiple generations until a stopping condition is met
Combine parts of two parents to create offspring
Randomly flip bits in offspring to add variation
94
How does roulette wheel selection ensure diversity in a GA population?
Fitness-weighted chance allows weak survival
All individuals have equal chance
Only the best are selected repeatedly
Random bit flip occurs in crossover
95
Who is Father of cybernetics?
Chirs Langton
John Holland
W.Ross Ashby
Norbert Wiener
96
What is "Evolving Morphology"?
Manually building robot shapes
Changing colors of animals
Using genetic algorithms to evolve physical forms
Using AI to draw images
97
What is the definition for search space complexity?
Amount of memory space an algorithm uses to store the search space itself
GAs preserve and recombine good schemas across dimensional
Search across the entire space
Real world problems often exist in high dimensional spaces
98
Which of the following are not definitions of bio-inspired computing?
Method using biological hardware for computing
Computational designs using natural metaphors
Interdisciplinary field combining biology and AI
Algorithms inspired by organisms like ants & bacteria
99
Who is credited with inventing the Perceptron, laying the foundation for modern deep learning?
Chris Langton
Norbert Wiener
John Holland
Frank Rosenblatt
100
Phenotype (3D creatures) graph is expressed by
graphical form
body form
pyhsical form
phscyological form

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