Cognitive AI

Published

Saturday, September 14, 2024

Lesson 26 Wrap-Up
Today we’ll wrap up this course. It’s been a fun journey. But like all journeys, this one too must come to an end. The goal for today’s lesson is to tie together some of the…
Oren Bochman
Saturday, February 20, 2016

Lesson 25 Advanced Topics
To close this class, we will discuss a handful of advanced topics, related to the course material.
Oren Bochman
Friday, February 19, 2016

Lesson 24 Meta-Reasoning
In this lesson we shall explore the concept of Meta-reasoning which is the ability to think about one’s own thinking processes. It’s essentially reasoning about reasoning.
Oren Bochman
Thursday, February 18, 2016

Lesson 23 Learning by Correcting Mistakes
In this lesson we cover another method of learning, called learning by correcting mistakes.
Oren Bochman
Wednesday, February 17, 2016

Lesson 22 Diagnosis
In this lesson we cover diagnosis, which is the identification of the fault or faults responsible for a malfunctioning system.
Oren Bochman
Tuesday, February 16, 2016

Lesson 21 Configuration
In this lesson, we will discuss configuration. This is a a common design task for which all the components of the design are already known.
Oren Bochman
Monday, February 15, 2016

Lesson 20 Constraint Propagation
Today, we’ll talk about constraint propagation, another very drawn out purpose method. Constraint propagation is a mechanism of influence where the agent assign values to…
Oren Bochman
Sunday, February 14, 2016

Lesson 19 Version Spaces
In this lesson, we will discuss generalization and learning, using the method of version spaces.
Oren Bochman
Saturday, February 13, 2016

Lesson 18 Analogical Reasoning
In this lesson, we will discuss Analogical Reasoning. This involves understanding new problems, in terms of family of problems.
Oren Bochman
Friday, February 12, 2016

Lesson 17 Explanation-Based Learning
In this lesson, we will discuss explanation-based learning, in which the agent doesn’t learn about new concepts. Instead, it learns about connections among existing concepts.
Oren Bochman
Thursday, February 11, 2016

Lesson 16 Scripts
In this lesson, we will discuss another KR called scripts. These allow us to make sense of discourses and stories and scenes.
Oren Bochman
Wednesday, February 10, 2016

Lesson 15 Commonsense Reasoning
In this lesson, we will discuss common-sense reasoning. You and I, as cognitive individuals, are very good at common-sense reasoning.
Oren Bochman
Tuesday, February 9, 2016

Lesson 14 Understanding
In this lesson, we will discuss understanding which is a very big general world.
Oren Bochman
Monday, February 8, 2016

Lesson 13 Planning
Today we’ll talk about planning. Recall that we had said an intelligent agent maps perceptual histories into actions. Planning is a powerful method for action selection.…
Oren Bochman
Sunday, February 7, 2016

Lesson 12 Logic
In this lesson, we will discuss logic which is a formal language that allows us to make assertions about the world in a very precise way.
Oren Bochman
Saturday, February 6, 2016

Lesson 11 Classification
In this lesson we will study a ubiquitous problems in AI called classification. This is the mapping of sets of percepts in the world onto some equivalence classes which…
Oren Bochman
Friday, February 5, 2016

Lesson 10 Incremental Concept Learning
In this lesson we discuss incremental concept learning. In case based reasoning, we store new examples in memory and now consider how to abstract concepts out of those…
Oren Bochman
Thursday, February 4, 2016

Lesson 09 Case-Based Reasoning
In this lesson we will discuss Case-Based Reasoning. A cognitive agent uses Case-based reasoning to addresses new problems by tweaking solutions to similar previously…
Oren Bochman
Wednesday, February 3, 2016

Lesson 08 Learning by Recording Cases
In this lesson we will talk about learning by recording cases. This is our first topic of learning, one of the fundamental elements of knowledge-based AI.
Oren Bochman
Tuesday, February 2, 2016

Lesson 07 Frames
Today we’ll talk about frames. Frames are a very powerful and very common knowledge representation.
Oren Bochman
Monday, February 1, 2016

Lesson 06 Production Systems
In this lesson, we will discuss production systems. Production systems are kind of cognitive architecture, in which knowledge is represented in the form of rules.
Oren Bochman
Saturday, January 30, 2016

05 - Means-End Analysis
Today we will discuss two other very general AR methods of problem-solving called means end analysis and problem reduction.
Oren Bochman
Friday, January 29, 2016

Lesson 04 Generate & Test
We now focus on problem-solving methods.
Oren Bochman
Tuesday, January 26, 2016

Lesson 03 Semantic Networks
A large part of this lesson explores solving two types of problems. By using a graph to visually represent the process, we end up with a semantic network. However, it seems…
Oren Bochman
Monday, January 25, 2016

Lesson 02 Introduction to CS7637
In this lesson, we’ll talk most specifically about what to expect from CS7637.
Oren Bochman
`Sunday, January 24, 2016`{=html}

01 - Introduction to Knowledge-Based AI
The instructors consider this course as an experiment. They want to understand how students learn in online classrooms.
Oren Bochman
Saturday, January 23, 2016

01 - Course Material
  • knowledge-based AI Class Documents
  • Syllabus for the course
  • Full Calendar
Oren Bochman
Wednesday, January 20, 2016
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