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Learning Management System (LMS)
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Active
Total LMS Courses
64
Across 6 academic colleges
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+18% vs last term
Total Enrolled Seats
3,842
Active student course enrollments
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High
Avg. Completion Rate
88.5%
Modules & quizzes completed
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24 Pending
Active Assignments
118
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Publishing course material
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Selected Course
CS-302 • Artificial Intelligence
Instructor: Prof. Ramon Santiago
Module 1 (Active)
Foundations of Intelligent Agents
3 Lessons • 1 Video Lecture • 1 Quiz
Module 2
Heuristic Search & Graph Algorithms
4 Lessons • Lab Project A*
Module 3
Deep Neural Networks & PyTorch
5 Lessons • Midterm Practical
Lesson 1.2 Published
Agent Architecture: PEAS Model (Performance, Environment, Actuators, Sensors)
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Video Lecture: PEAS Environment Classification
Duration: 28 mins • HD 1080p
In AI design, an intelligent agent perceives its environment via sensors and acts upon it through actuators. The PEAS framework formally describes the problem specification before implementation.
- Performance Measure: Metric evaluating agent success (e.g., accuracy, safety, execution speed).
- Environment: State space properties (Observable vs Partially Observable, Deterministic vs Stochastic).
- Actuators: Mechanisms to exert changes (Motors, Display API, Sound outputs).
- Sensors: Data inputs (Cameras, Keystrokes, Network Sockets).
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Lecture_Slides_PEAS_Framework.pdf (2.4 MB)