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Technology: Robotics - Swarm Robotics > Swarm Intelligence: Overview > Flashcards

Swarm Intelligence: Overview Flashcards

1
Q

What is Swarm Intelligence?

A

Swarm Intelligence (SI) is a branch of artificial intelligence inspired by collective behavior in decentralized, self-organized systems.

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2
Q

What are the fundamental elements of Swarm Intelligence?

A

Decentralization, Self-Organization, Simple Agents with Local Rules, Positive Feedback, Negative Feedback, Stigmergy, Exploration vs Exploitation.

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3
Q

What is decentralization in Swarm Intelligence?

A

It refers to the lack of a single controlling entity in the system; agents act independently, and behaviors emerge from local interactions.

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4
Q

How do decentralized systems in SI scale?

A

They scale easily, as the system can expand with more agents without losing functionality or coordination.

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5
Q

What is self-organization in Swarm Intelligence?

A

Self-organization means the system organizes itself without external control, with complex behaviors emerging from simple interactions.

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6
Q

What is emergent behavior?

A

It refers to complex global patterns that arise from simple local interactions between agents in a system.

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7
Q

What are simple agents in Swarm Intelligence?

A

Simple agents follow local rules based on limited information, and their collective behavior leads to intelligent system-wide actions.

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8
Q

What is positive feedback in Swarm Intelligence?

A

Positive feedback amplifies successful behaviors within the swarm, leading to reinforcement of certain actions.

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9
Q

Give an example of positive feedback in nature.

A

Ants laying pheromone trails to food sources, which encourages more ants to follow the same path.

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10
Q

What is negative feedback in Swarm Intelligence?

A

Negative feedback mechanisms counteract positive feedback to prevent the system from becoming biased towards one solution.

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11
Q

Give an example of negative feedback in nature.

A

Pheromone trails evaporating over time to prevent ants from following outdated paths.

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12
Q

What is stigmergy?

A

Stigmergy is a form of indirect communication where agents modify the environment to influence the actions of other agents.

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13
Q

Give an example of stigmergy in nature.

A

Ants leaving pheromones in their environment to guide other ants toward food.

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14
Q

What is exploration in Swarm Intelligence?

A

Exploration is when agents search new areas or try new strategies to find better solutions.

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15
Q

What is exploitation in Swarm Intelligence?

A

Exploitation is when agents use known, successful strategies or solutions to optimize performance.

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16
Q

What is the balance between exploration and exploitation?

A

Swarm systems must balance exploring new possibilities and exploiting known solutions for optimal performance.

17
Q

What is Ant Colony Optimization (ACO)?

A

ACO is an algorithm inspired by ant foraging behavior, used to solve optimization problems like finding the shortest path.

18
Q

Who developed Ant Colony Optimization (ACO)?

A

Marco Dorigo in the early 1990s.

19
Q

What is Particle Swarm Optimization (PSO)?

A

PSO is an algorithm inspired by social behavior in birds and fish schools, used for optimization problems.

20
Q

Who developed Particle Swarm Optimization (PSO)?

A

Kennedy and Eberhart in 1995.

21
Q

What is the Boids model?

A

The Boids model, developed by Craig Reynolds, simulates flocking behavior in birds and is a foundational model for swarm behavior.

22
Q

What are the applications of swarm robotics?

A

Swarm robotics is used in mapping, search and rescue, environmental monitoring, and decentralized coordination in robotics.

23
Q

What is hybrid Swarm Intelligence?

A

Hybrid SI integrates machine learning with swarm systems to enable dynamic adaptation in uncertain environments.

24
Q

How is Swarm Intelligence used in financial markets?

A

SI models can analyze collective behaviors in financial markets to predict trends.

25
Q

How can Swarm Intelligence impact smart cities?

A

SI can optimize traffic flow, energy distribution, and resource management in smart cities through decentralized control.

26
Q

What are potential applications of Swarm Intelligence in medicine?

A

SI-based microrobots or nanobots can navigate the human body for targeted drug delivery or non-invasive surgeries.

27
Q

What is Quantum Swarm Intelligence?

A

Quantum SI integrates quantum computing to solve complex optimization problems, potentially enhancing the performance of swarm algorithms.

28
Q

What ethical considerations are there in Swarm Intelligence?

A

Ensuring SI systems behave ethically and securely, especially in autonomous military applications, is a key concern.

Technology: Robotics - Swarm Robotics (2 decks)

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