Center for Analysis and Design of Intelligent Agents public:t-720-atai:atai-18

public:t-720-atai:atai-18:braitenberg_assignment

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

T-720-ATAI-2018 Main T-720-ATAI-2018 Bratienberg Assignment Description Hand-Ins * Sigurður * The red bird is an agent that maintains a memory of which blue birds it has eaten. The red bird selects which target it tries to go for based on a exploration/exploitation epsilon constant. If the bird selects to exploration it's target becomes the closest blue bird to it. If the bird select exploitation it targets the closest blue bird in of the type that ha…

public:t-720-atai:atai-18: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 exam. 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-18:final_project

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

T-720-ATAI-2018 Main Links to Lecture Notes T-720-ATAI-2018 NARS Tutorial Xiang Li's slides from the NARS tutorial class on 19 Oct. ATAI 2018 Final Project The Final Project uses the AGI-aspiring NARS system. Students should pair up in teams of 2 students per team (individual hand-ins are also allowed, but less encouraged). There is a choice of either of two main assignments:

public:t-720-atai:atai-18:lecture_notes

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

T-720-ATAI-2018 Main T-720-ATAI-2018 Links to Kris' Lecture Notes * W1: Intelligence * W2: Agents & Control * W3: Tasks & Environments .. AND .. Emergence * W4: Intelligence & Autonomy * W5: Requirements for AI & AGI Systems * W6: Learning & Teaching * W7: Evaluation * W8: Knowledge Representations ... AND ... AI Architectures * W9: AI Methodologies * W10: Autonomous-X: Predictability, Reliability, Explainability ... AND ... Probabilities, Causation & Experience-Based Learn…

public:t-720-atai:atai-18:lecture_notes_w1

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

T-720-ATAI-2018 Main Links to Lecture Notes T-720-ATAI-2018 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. AGI A number of terms have been used to refer to the various aspects that people study wrt intelligence. We use the term

public:t-720-atai:atai-18:lecture_notes_w2

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

T-720-ATAI-2018 Main T-720-ATAI-2018 Lecture Notes W3 Task-Environments: Key Concepts Task A Problem that can be assigned. Typically comes with Instructions (guide to Solutions). Problem A Goal with (all) relevant constraints (≈ requirements). Problem Family

public:t-720-atai:atai-18:main

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

T-720-ATAI, ADVANCED TOPICS IN ARTIFICIAL INTELLIGENCE, Fall 2018 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-18:readings

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

T-720-ATAI-2018 Main T-720-ATAI-2018 Readings & Study Material THIS IS THE FINAL LIST 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) and then onward towards artificial general intelligence. Within each topic the papers are ordered by importance, the most important first.