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Reflex and goal - based agents - making decisions - Coggle Diagram
Reflex and goal - based agents - making decisions
Agents
Agents are systems or programs that monitor their environment and take actions based on their beliefs to achieve specific objectives.
Types of Agents
Simple Reflex Agents
Model-Based Reflex Agents
Goal-Based Agents
Utility-Based Agents
Simple Reflex Agents
These agents make decisions based on the current circumstances.
They are unable to recall or draw from the past.
The individual excels in environments that are entirely clear and predictable.
The individual has limited capabilities and intellect.
Model-Based Reflex Agents
These agents monitor the external world to aid in making informed decisions.
They utilize a model to comprehend the functioning of various aspects.
This is particularly useful in situations where access to all information is restricted.
Goal-Based Agents
These agents consider goals or objectives when making judgments.
They evaluate a course of action based on its effectiveness in achieving a specific goal.
Utility-Based Agents
These agents are more advanced than goal-based agents.
They also consider the "goodness" or "utility" of each outcome.
The use of multiple options or trade-offs can be beneficial.
Learning Agents
Individuals can acquire knowledge through their experiences and improve over time.
Start with the basics and gradually adjust as you gain experience.
They naturally change their behavior to enhance their performance.
Finite State Machines (FSM)
Finite state machines (FSM) are computation models that depict a system with a finite number of states, following predetermined transition rules based on inputs.
Uses
The process of writing and debugging it is straightforward.
The system performs effectively in basic systems.
This tool is particularly suitable for tasks that require minimal memory and have minimal complexity.
Where it's used
incorporated into robotics and other systems.
Applications
The traffic lights are colored red, green, and yellow.
Vending machines are devices where coins are inserted and items are dispensed.
The process of converting lockers from closed to open is a common and efficient method.
Types:
Moore Machine: The outputs are only influenced by the current condition.
Mealy Device: The outputs are influenced by both the input and the current state.
FSM Behavior Types
Deterministic: Predictable outcomes are the outcomes of certain actions.
Non-Deterministic: Uncertainty can lead to varying outcomes in actions each time.
Web Links
https://study.com/academy/lesson/goal-based-agents-definition-examples.html
https://www.ibm.com/think/topics/ai-agent-types
https://botpress.com/blog/types-of-ai-agents