Indian Institute of Information Technology, Allahabad

Department of Information Technology

Syllabus

Name of the Course: Cognition and Cognitive Process Modeling

LTP structure of the course: 2-1-1

  1. Objective of the course:
  1. To provide an overview of cognition in human brain.
  2. To introduce students about several AI debates and pro and against arguments of realization of true AI.
  3. To provide comprehensive details about the cutting-edge approaches and recent developments of cognitive systems.
  4. Introducing students about several cognitive architectures and hand-on working in these architectures.

  1. Outcome of the course:
  1. Students will get the understanding of how human cognition works as per the explanations till date.
  2. Students will get new side of AI development(Using cognitive architectures).
  3. Students will get to know the challenges which have been accomplished and which is yet to be addressed to make true AI systems.
  1. Course Plan:         

Component

Unit        

Topics         for Coverage        

        

Component 1

                        

        

Unit 1:

                        

Introduction

Human Brain: Introduction, cognitive faculties: memory, attention, vision and language, What is cognition, introduction about approaches to cognition, theories of mind: mind - body dualism, materialist theory of mind, identity theory of mind, computational theory of mind.

Unit 2:                        

Consciousness and Free Will

Consciousness: First person approach , third person approach, Chalmers view of consciousness, problem of third person approach, Pattern-Information duality,

Free Will: Sloman view, free will as continuous dimension, design distinctions for agent modeling.

 Unit 3:         

AI Debates

First AI Debate: Is AI possible? Pro: Roger Penrose, moravec, Herbert Simon. Artificial mind via symbolic AI, Turing test of AI. Against:  Dreyfus five stages of learning, Searle’s chinese room thought experiment, Degrees of understanding, godel’s  incompleteness theorem

Second AI Debate: Connectionist Model, Objectives of Connectionist model, Feldman’s hundred step rules, Brain vs computer model of mind, Lloyd’s cautions, Fodor’s attack, Chamlmers’ defense, Rule based AI.

Unit 4:

                

                        

Cognitive Architectures

ACT-R, CLARION, SOAR, Reinforcement Learning, Distributed Cognition, Learning and Memory Architectures.

        

Component 2                

Projects

  1. Hands-on on cognitive architectures.
  2. Analysis of cognition of brain using complex networks.

        

Books:

  1. Artificial Mind by Stan Franklin
  2. Siegelbaum, Steven A., and A. J. Hudspeth. Principles of neural science. Eds. Eric R. Kandel, James H. Schwartz, and Thomas M. Jessell. Vol. 4. New York: McGraw-hill, 2000.
  3. Research papers for brain modeling.