Center for Analysis and Design of Intelligent Agents public:t-720-atai:atai-19

public:t-720-atai:atai-19:aera

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Lecture Notes: AERA High-Level View of AERA AERA The Auto-Catalytic Endogenous Reflective Architecture is an AGI-aspiring self-programming system that combines feedback and feed-forward control in a model-based and model-driven system that is programmed with a seed.

public:t-720-atai:atai-19:control_assignment_1

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes Control Assignment 1 Percentage Points (of final grade): 5. Groupwork: You may do this assignment in pairs or alone - it is your choice. READ THE ITALICIZED TEXT! This assignment has been created in MATLAB R2019a. So it is recommended to use this version. Other ones might be problematic. Please note that you

public:t-720-atai:atai-19:engineering_assignment_2

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes Control Assignment 1 Percentage Points (of final grade): 7. Individual work: You should do this assignment alone. DESCRIPTION Referring to Control Assignment 1, implement a reinforcement learner that can do what you learned in PART-1 of that assignment (piloting the alien space ship off the planet), i.e. learn to keep the thrust in a 1000-point range for 5 seconds. This will be done in two parts:

public:t-720-atai:atai-19:engineering_assignment_3

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Prerequisite: NARS Tutorial Xiang Li's slides from the NARS tutorial given in 2018. NARS Assignment 1: Fuzzy Logic Grading: 10% of final grade. Fuzzy logic is a form of many-valued logic in which the truth values may be any real number between 0 and 1. It is employed to handle concepts of graded membership and proposition of partial truth with completely true and completely false.

public:t-720-atai:atai-19:essay_assignment

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Short Essay Pick a OR b: * (a) A paper from the reading list that addresses a particular topic. (See important topic areas below.) * (b) Any topic you think has been neglected in the past 20 years in AI research or deserves more in-depth study.

public:t-720-atai:atai-19:final_exam_examples

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

Final Exam T-720-ATAI-2018 The final exam will be a 3-hour closed-book on-line exam (digiExam). Questions will focus on your understanding of the material that has been presented in the course and can be found in the assigned readings, with an emphasis on the main concepts and topics and your ability to holistically comprehend these.

public:t-720-atai:atai-19:final_project

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 NARS Assignment 2: Diagnosis Grading: 16% of final grade. Make sure you have studied Xiang Li's [NARS Tutorial] notes. In this project you will generate a diagnostic system with OpenNARS. Use the medical diagnostic example and the description about the Car diagnostic system as hints to design a diagnostic system for Cars, test it with OpenNARS. Try to come up with good alternative examples, for instance the following:

public:t-720-atai:atai-19:lecture_20notes_20w1

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Lecture Notes, W1 What this Course Is / Is not Intelligence This course is about phenomenon we refer to as “intelligence”. A number of features of natural intelligence remain unexplained. In this course it is the question

public:t-720-atai:atai-19:lecture_notes

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main T-720-ATAI-2019 Links to Kris' Lecture Notes * W1: Intelligence * W2: Agents & Control & Agent Control Architectures * W3: Tasks, Environments, Goals * W4: Requirements for Generality and Methodologies * W5: Learning & Teaching * W6: Knowledge Representation, Reasoning, Understanding, Meaning * W7: Implemented Architectures * W8: Evaluation & NARS * W9: Autonomy & AERA * W10: Creativity & Curiosity & Understanding * W11: Discussions about final and wr…

public:t-720-atai:atai-19:lecture_notes_architectures

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Lecture Notes: AI Architectures ---------- System Architecture What it is In CS: the organization of the software that implements a system. In AI: The total system that has direct and independent control of the behavior of an Agent via its sensors and effectors.

public:t-720-atai:atai-19:lecture_notes_w2-2

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Lecture Notes, W2-2: Agent Control Architectures ---------- Introduction: System Architecture What it is In CS: the organization of the software that implements a system. In AI: The total system that has direct and independent control of the behavior of an Agent via its sensors and effectors.

public:t-720-atai:atai-19:lecture_notes_w2

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Lecture Notes, W2: Agents & Controlers Controller An abstraction of a controller: A controller has an input, i_t, selected from a task-environment, current state S, at least one goal G (implicit or explicit - see table below) and output o_t in the form of atomic actions (selected from a set of atomic possible outputs), and a set of processes P.

public:t-720-atai:atai-19:lecture_notes_w3

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Lecture Notes, W3: Tasks, Environments, Goals Task-Environments: Key Concepts Environment A set of constraints relevant to a Task but not counted as part of a Task proper. Task-Environment A Task is performed in an Environment, whereby the Task has certain variables that are necessary and sufficient V_T, and the Environment has certain variables V_E that can normally be ignored but that may, at any po…

public:t-720-atai:atai-19:lecture_notes_w5

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Lecture Notes: Learning & Teaching Learning: Means (The How) What it is The acquisition of information in order to improve performance with respect to some Goal or set of Goals. Learning from experience A method for learning. Also called

public:t-720-atai:atai-19:lecture_notes_w6

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main Links to Lecture Notes T-720-ATAI-2019 Lecture Notes: Knowledge Representation, Reasoning, Understanding, Meaning ---------- Concepts Data Measurement. Information Data that can be / is used or formatted for purpose. Knowledge A set of interlinked information that can be used to plan, produce action, and interpret new information.

public:t-720-atai:atai-19:main

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI, ADVANCED TOPICS IN ARTIFICIAL INTELLIGENCE, Fall 2019 OVERVIEW See last year's course here See Canvas For Up-To-Date Information, Notifications, Links to Lecture Notes Instructor: Kristinn R. Thórisson Teaching Assistants: TBD 8 ECTS Units, full Master's-level course

public:t-720-atai:atai-19:readings

Anonymous (anonymous@undisclosed.example.com) — 2024-04-29T13:33:28+00:00

T-720-ATAI-2019 Main T-720-ATAI-2019 Readings & Study Material Note: PAGE UNDER CONSTRUCTION Note: DO NOT SKIP READING THE BELOW TEXT This material is generally ordered by specificity (both within and between headings), starting with the general topic of what intelligence is, progressing towards good old-fashioned AI (aka constructionist AI or GOFAI) and then onward towards artificial general intelligence (AGI). Within each topic the papers are ordered by importance, the most important firs…