Implementation of Intelligent Agents

PettyNduku
May 16, 2025
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Explores the practical Implementation of Intelligent Agents based on Chapter 2 of Distributed Artificial Intelligence: A Modern Approach.

Your paper should include the following sections:

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Agent Fundamentals

Define what an intelligent agent is, based on the textbook and at least one scholarly source.
Describe the key components of an agent: sensors, actuators, environment, and performance measures.

Agent Classification and Architecture

Choose two types of agents discussed in Chapter 2 (e.g., reflex agents, goal-based agents, learning agents).
Compare and contrast their characteristics and capabilities.
Discuss how each type handles autonomy, cooperation, and uncertainty.

Real-World Scenario Application

Select a real-world industry (e.g., logistics, healthcare, cybersecurity, smart homes).
Design a multi-agent system (MAS) for that industry using one or more of the agent types above.
Include a PEAS model and a brief flowchart or conceptual diagram showing agent interactions.

Ethical Reflection

What ethical issues should be considered when deploying intelligent agents in this scenario (e.g., data privacy,automation bias, overreliance on AI)?

Implementation of Intelligent Agents

Textbook Reference:

Yadav, S. P., Mahato, D. P., & Linh, N. T. D. (2021). Distributed Artificial Intelligence: A Modern Approach. CRC Press.

Requirement:

At least 3-page with at least three (3) peer-reviewed references (you must include DOI for your reference).
You must provide TurnitIn similarity and TurnitIn AI reports.Explores the practical implementation of intelligent agents based on Chapter 2 of Distributed Artificial Intelligence: A Modern Approach.
Your paper should include the following sections:
1. Agent Fundamentals
- Define what an intelligent agent is based on the textbook and at least one scholarly source.,
- Describe the key components of an agent: sensors actuators environment and performance measures.,
1. Agent Classification and Architecture
- Choose two types of agents discussed in Chapter 2 (e.g. reflex agents goal-based agents learning agents).,
- Compare and contrast their characteristics and capabilities.,
- Discuss how each type handles autonomy cooperation and uncertainty.,
1. Real-World Scenario Application
- Select a real-world industry (e.g. logistics healthcare cybersecurity smart homes).,
- Design a multi-agent system (MAS) for that industry using one or more of the agent types above.,
- Include a PEAS model and a brief flowchart or conceptual diagram showing agent interactions.,
1. Ethical Reflection
- What ethical issues should be considered when deploying intelligent agents in this scenario (e.g. data privacy automation bias overreliance on AI)?
Textbook Reference:

Yadav, S. P., Mahato, D. P., & Linh, N. T. D. (2021). Distributed Artificial Intelligence: A Modern Approach. CRC Press.

Requirement:
- At least 3-page with at least three (3) peer-reviewed references (you must include DOI for your reference).
- You must provide TurnitIn similarity and TurnitIn AI reports.

Tags

# Agent Classification and Architecture Choose two types of agents discussed in Chapter 2 (e.g. reflex agents goal-based agents learning agents).# Compare and contrast their characteristics and capabilities.# Define what an intelligent agent is based on the textbook and at least one scholarly source.# Describe the key components of an agent: sensors actuators environment and performance measures.# Design a multi-agent system (MAS) for that industry using one or more of the agent types above.# Discuss how each type handles autonomy cooperation and uncertainty.# Ethical Reflection What ethical issues should be considered when deploying intelligent agents in this scenario (e.g. data privacy automation bias overreliance on AI)?# Include a PEAS model and a brief flowchart or conceptual diagram showing agent interactions.# Real-World Scenario Application Select a real-world industry (e.g. logistics healthcare cybersecurity smart homes).

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