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Knowledge-based Systems - Coggle Diagram
Knowledge-based Systems
Artificial Life (ALife)
study of life-like processes using computer models, simulations, and synthetic systems to understand biological phenomena and create lifelike behaviors in artificial agents.
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Knowledge Base
A knowledge base is a repository of organized information used by AI systems to store, manage, and retrieve knowledge for problem-solving and decision-making.
Types
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Hierarchical Knowledge Base: Structures information in a hierarchical manner, like a tree.
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Wumpus World
The Wumpus World is a classic AI problem where an agent navigates a grid-based environment inhabited by a Wumpus (dangerous creature) and pits (fatal traps), aiming to reach a goal while avoiding hazards.
Hazardous Environment: Grid-based world containing pits and a Wumpus, posing dangers to the agent.
Limited Perception: Agent's knowledge is limited to adjacent squares, requiring cautious exploration.
Dynamic: Wumpus moves randomly, increasing unpredictability and challenge.
Goal-Oriented: Agent's objective is to find and retrieve a goal while avoiding hazards, requiring strategic planning.
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Multi-agent environments
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Interaction: Agents interact with each other and the environment, influencing outcomes.
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Competition and Cooperation: Agents may compete for resources or cooperate to achieve mutual benefits.
Cellular automata are computational models consisting of a grid of cells that evolve over discrete time steps based on a set of predefined rules.
