Center for Analysis and Design of Intelligent Agents public:t_720_atai:atai-19

public:t_720_atai:atai-19:lecture_notes_methodologies

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 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-19:lecture_notes_requirements_for_generality

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: 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-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 & Controllers 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.