Center for Analysis and Design of Intelligent Agents public:t_720_atai:atai-18

public:t_720_atai:atai-18:constructivistai

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, W6: Constructivist AI Definitions A: An agent. Psi_A: A cognitive architecture of agent A. P_A: A perception process of agent A. #: A pattern, at any level of detail.

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 Links to Lecture Notes T-720-ATAI-2018 Lecture Notes, W10: Reasoning, Understanding, Curiosity, Creativity Reasoning What It Is The establishment of axioms for the world and applying logic to these. But The World Is Non-Axiomatic ! Yes. But there is no way to apply logic unless we hypothesize some pseudo-axioms. The only difference between this and mathematics is that in science we must accept that the so-called

public:t_720_atai:atai-18:lecture_notes_ai_architectures

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, W9: 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-18:lecture_notes_autonomous-x

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, W9: Autonomous-X: Predictability, Reliability, Explainability Autonomous-X Autonomy Implies that the machine “does it alone”. Predictability Predictability is a desired feature of any useful AI.

public:t_720_atai:atai-18:lecture_notes_evaluation

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, W7: Evaluation ---------- Evaluation of Intelligent Systems Sources of Evaluation Methods Psychology Uses tests based on a single measure at a single point in time. Produces a single “IQ” score.

public:t_720_atai:atai-18:lecture_notes_experience-based_learning

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, W11: Probabilities, Causation & Experience-Based Learning Experience-Based Learning What It Is Learning is the acquisition of knowledge for particular purposes. When this acquisition happens via interaction with an environment it is experience-based.

public:t_720_atai:atai-18:lecture_notes_knowledge_representations

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, W9: Knowledge Representation & Meaning ---------- Important Concepts for AGI Autonomy The ability to do tasks without interference / help from others / outside. Reasoning The application of logical rules to knowledge.

public:t_720_atai:atai-18:lecture_notes_methodologies

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, W8: AI Methodologies Complex Systems Kind of SystemWhat it Consists ofTheoryMethodology Static system Elements of the system do not interact, or interact slowly. Example: Mountains. Depends on the domain.

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 Links to Lecture Notes T-720-ATAI-2018 Lecture Notes, W2: Agents & Control 2020(c)Kristinn R. Thórisson 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-18:lecture_notes_w3

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, W3: Tasks & Environments 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).

public:t_720_atai:atai-18:lecture_notes_w3b

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 EMERGENCE Complex Systems Kind of SystemWhat it Consists ofTheoryMethodology Static system Elements of the system do not interact, or interact slowly. Example: Mountains. Depends on the domain.

public:t_720_atai:atai-18:lecture_notes_w4

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, W4: Intelligence & Autonomy Autonomy & Closure Autonomy The ability to do tasks without interference / help from others in a particular task-environment in a particular world. Cognitive Autonomy Refers to the mental (control-) independence of agents - the more independent they are (of their designers, of outside aid, etc.) the more autonomous they are. Systems without it could hardly be considered to …

public:t_720_atai:atai-18:lecture_notes_w5

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, W5: Requirements for AI & AGI Systems Requirements for Intelligent Learning Systems “Intelligent System”: Expectation We expect an “intelligent” system to be able to learn. Standard Learning Expectation

public:t_720_atai:atai-18:lecture_notes_w7

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, W7: 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