| Course Name | Agent Based Modeling |
| Course Code | 19CCE340 |
| Program | B. Tech. in Computer and Communication Engineering |
| Year Taught | 2019 |
Introduction to Agents – Features – Classification of agents. Multi Agent Systems (MAS) and properties – Agent communication ontology – Agent communication languages. Internal structure of MAS: Shell – Reasoning engine. -MAS development methodology – Agent behavior – Agent action – Knowledge diffusion in MAS – Application level -behavior level and evolutionary agent communities.
Data mining techniques for intelligent Agents – Association rule mining – Clustering – Classification and evolutionary algorithms.
Applying data mining to agents – Study of available agent based modeling software- Case studies – Application level – behavior level and evolutionary agent communities.
Evaluation Pattern
| Assessment | Internal | External |
| Periodical 1 (P1) | 15 | – |
| Periodical 2 (P2) | 15 | – |
| *Continuous Assessment (CA) | 20 | – |
| End Semester | – | 50 |
| *CA – Can be Quizzes, Assignment, Projects, and Reports. | ||
Objectives
Course Outcomes
CO – PO Mapping
| PO/PSO/CO | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 |
| CO1 | 3 | 3 | – | – | – | – | – | – | – | – | – | – | – | – |
| CO2 | – | 3 | 2 | – | – | – | – | – | – | – | – | – | 3 | – |
| CO3 | – | 2 | 3 | 2 | – | – | – | – | – | – | – | – | 3 | – |
| CO4 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | – | – | 2 | – |
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