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Knowledge-Based Systems and Multi-Agent Environments - Coggle Diagram
Knowledge-Based Systems and Multi-Agent Environments
Logical Agents
Humans as Inspiration
Reasoning with a Knowledge Base
Limitations of Simple Pathfinding Agents
Need for Rich Internal Representations
Multi-Agent Environments
Definition
Environments where multiple agents (software or physical) operate and interact.
Each agent may have its own goals, perceptions, and actions.
Types of Interactions
Cooperative
: Agents work together to achieve a common goal (e.g., robots assembling a product).
Mixed
: Combination of both cooperation and competition (e.g., traffic systems, online markets).
Competitive
: Agents have conflicting goals (e.g., players in a game).
Examples
Autonomous vehicles interacting on roads.
Online auction platforms (e.g., bidding bots).
Multi-player games or simulations.
Swarm robotics and drone fleets.
Core Rules
Separation
Alignment
Cohesion
Emergence
Patterns of behaviour
Individuals follow simple rules
Macro-level phenomenon
Emergent complexity
Knowledge Base Systems
What is a Knowledge Base ?
A structured collection of facts, rules, and information about a domain.
Used by AI systems to reason, infer, and make intelligent decisions.
Components of a Knowledge-Based System
Knowledge Base
: Stores facts and rules.
Inference Engine
: Applies logical rules to the knowledge base to derive new information.
User Interface
: Allows users to input queries and receive answers.
Explanation System
: Explains how the system arrived at a conclusion.
Types of Knowledge
Declarative Knowledge
: Facts about objects, concepts, or relationships.
Procedural Knowledge
: How to do things (rules, strategies, procedures).
Meta-Knowledge
: Knowledge about knowledge (e.g., how reliable a fact is).
PEAS
Performance Measure
Environment
Actuators
Sensors
ALIFE
Evolutionary algorithms
Genetic programming
Artificial neural networks
Agent-based modeling
Cellular automata
Collective intelligence
Chorus Vs Siri
Decision-making in everything from bacteria to humans
Neural networks - adaptive systems -natural intelligence, not Al (rule-based learning)
Finding patterns in data
Links
https://botpress.com/blog/multi-agent-systems#:~:text=What%20is%20a%20Multi-Agent,action%20to%20fulfill%20its%20goal
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https://www.turing.ac.uk/research/interest-groups/multi-agent-systems#:~:text=Introduction,MAS%20labs%20map%20shown%20below
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https://www.ibm.com/think/topics/multiagent-system