Center for Analysis and Design of Intelligent Agents public:t-713-mers:mers-23 http://cadia.ru.is/wiki/ 2026-04-21T04:39:19+00:00 Center for Analysis and Design of Intelligent Agents http://cadia.ru.is/wiki/ http://cadia.ru.is/wiki/lib/tpl/dokuwiki/images/favicon.ico text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:anns http://cadia.ru.is/wiki/public:t-713-mers:mers-23:anns?rev=1714397608&do=diff T-713-MERS-2023 Main Link to Lecture Notes A SHORT CRASH COURSE IN ANNs ANNs: Overview ANNs A special way to create classification functions over large amounts of data without explicitly specifying the mathematical operations. Instead, a largely automated process called 'training' (based on an algorithm called text/html 2024-09-15T09:00:35+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:concepts_terms http://cadia.ru.is/wiki/public:t-713-mers:mers-23:concepts_terms?rev=1726390835&do=diff T-713-MERS-2023 Main Link to Lecture Notes INTRODUCTION EMPIRICAL REASONING Defeasible / non-axiomatic reasoning where the data, rules, and results are restricted to the physical world. Working Definition of Intelligence The (working) Definition of Intelligence Used in This text/html 2024-08-20T12:20:14+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:empirical-reasoning-1 http://cadia.ru.is/wiki/public:t-713-mers:mers-23:empirical-reasoning-1?rev=1724156414&do=diff DCS-T-713-MERS-2023 Main Lecture Notes Empirical Reasoning (1) Foundational Considerations Why Empirical? The concept 'empirical' refers to the physical world: We (humans) live in a physical world, which is to some extent governed by rules, some of which we know something about. text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:empirical-reasoning-2 http://cadia.ru.is/wiki/public:t-713-mers:mers-23:empirical-reasoning-2?rev=1714397608&do=diff DCS-T-713-MERS-2023 Main Lecture Notes Empirical Reasoning (2) Uncertainty in Physical Worlds What it is In a dynamic world with a large number of elements and processes, presenting infinite combinatorics, knowing everything is impossible and thus predicting everything is also impossible. text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:empiricism http://cadia.ru.is/wiki/public:t-713-mers:mers-23:empiricism?rev=1714397608&do=diff T-713-MERS-2023 Main Link to Lecture Notes WORLDS, EMPIRICISM & DATA The Physical World What it is A set of constraints that determine what is and isn't possible. We call it “the laws of physics” (even though we don't know if they are immutable 'laws'). Animals and robots perceive the physical world through sensors. text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:example_questions_2023 http://cadia.ru.is/wiki/public:t-713-mers:mers-23:example_questions_2023?rev=1714397608&do=diff T-713-MERS-2023 Main Final Exam DCS-T-713-MERS-2023 The final exam will be a 3-hour open-book on-line exam (Canvas). Questions will focus on your understanding of the material that has been presented and discussed throughout the course and that which can be found in the assigned readings and lecture notes, with heavy emphasis on the text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:information http://cadia.ru.is/wiki/public:t-713-mers:mers-23:information?rev=1714397608&do=diff T-713-MERS-2023 Main Link to Lecture Notes INFORMATION, KNOWLEDGE & MODELING Information & Data Data Data is information about something that has been, or can be, measured. To be of any use it must contain how the measurement was made and when. For instance, the time of departure for flight FI399 is 17:00 text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:knowledge http://cadia.ru.is/wiki/public:t-713-mers:mers-23:knowledge?rev=1714397608&do=diff DCS-T-713-MERS-2023 Main Lecture Notes Learning & Knowledge Key Learning Terms What it is Learning is a process that has the purpose of generating actionable information, a.k.a. knowledge. Key Features Inherits key features of any process: - Purpose: To adapt, to respond in rational ways to problems / to achieve foreseen goals; this factor determines how the rest of the features in this list are measured. text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:learning_outcomes http://cadia.ru.is/wiki/public:t-713-mers:mers-23:learning_outcomes?rev=1714397608&do=diff After taking the course, diligently attending the classes and doing the assignments, thoroughly reading, and actively participating in discussions, students should be able to: * Describe how common forms of reasoning relate to next-generation AI systems text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:lecture_notes http://cadia.ru.is/wiki/public:t-713-mers:mers-23:lecture_notes?rev=1714397608&do=diff T-713-MERS-2023 Main T-713-MERS-2023 Links to Thórisson's Lecture Notes * Background Concepts * Artificial Neural Networks (ANNs) * W1: INTRODUCTION * Concepts & Terms * Sprint W2+W3: DATA, WORLDS & EMPIRICISM * Key concepts: Environment, tasks, entities, variables, experiments, data * Worlds, Empiricism * text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:main http://cadia.ru.is/wiki/public:t-713-mers:mers-23:main?rev=1714397608&do=diff T-720-MERS, EMPIRICAL REASONING SYSTEMS, Fall 2023 OVERVIEW Organization of this course See Canvas For Up-To-Date Information, Notifications, Links to Lecture Notes Instructor: Kristinn R. Thórisson Teaching Assistants: Arash Sheikhlar, Leonard Eberding 8 ECTS Units, full Master's-level course text/html 2024-10-07T15:36:33+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:readings http://cadia.ru.is/wiki/public:t-713-mers:mers-23:readings?rev=1728315393&do=diff DCS-T-713-MERS-2023 Main T-713-MERS-2023 Readings & Study Material Readings README (Do not skip!) INTELLIGENCE: THE PHENOMENON [5,6] What is intelligence? How do experts talk about it? What has been uncovered? What uniquely separates the phenomenon of intelligence from other similar phenomena in the world? text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:reasoning-intro http://cadia.ru.is/wiki/public:t-713-mers:mers-23:reasoning-intro?rev=1714397608&do=diff DCS-T-713-MERS-2023 Main Lecture Notes Introduction to Reasoning Machines Syllogisms What is it? A form of deductive argument/reasoning in which a conclusion is drawn from 2 given or assumed propositions (premises / statements). The premises and the conclusion are simple declarative statements constructed using only three simple terms between them, each term appearing twice (as a subject and as a predicate) text/html 2024-04-29T13:33:28+00:00 Anonymous (anonymous@undisclosed.example.com) public:t-713-mers:mers-23:thecourse http://cadia.ru.is/wiki/public:t-713-mers:mers-23:thecourse?rev=1714397608&do=diff T-713-MERS-2023 Main Links to Lecture Notes Course Overview Organization The bulk of the course is built up of 5 “sprints” on 5 key topics, each covering 2 weeks. The general organization of these is such: - The first week involves presentation of the sprint's topic(s), assignments, and other related things.