# Center for Analysis and Design of Intelligent Agents

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public:t-720-atai:atai-16:lectures_notes_f-2_15.01.2016

## T-720-ATAI-2016

### Lecture Notes, F-2 15.01.2016

 Task A Problem that can be assigned. Typically comes with Instructions (guide to Solutions). Problem A Goal with (all) relevant constraints (≈ requirements). Problem Family A set of problems that are similar in some (important) ways; a Problem plus variations of that Problem. Goal A (future) State to be attained, plus optional constraints on the Goal. State A set of values (with error bounds) for a set of variables relevant to a Goal. Environment A set of constraints relevant to a Task but not counted as part of a Task proper. World A set of constraints that a set of Environments have in common. Constraint A set of factors that limit the flexibility of that which it constrains. Solution The set of (atomic) actions that can achieve a Goal. Action The changes an Agent can make to variables relevant to a Task-Environment. Plan A partial way to accomplish a Task. Instructions Partial Plan for accomplishing a Task, typically given to an Agent along with a Task by a Teacher. Teacher The Agent assigning a Task to another Agent (student), optionally in charge of Instructions.

 Solution Constraint Reduces the flexibility for producing a Solution. Task Constraint Limits the allowed Solution Space for a Problem. Can help or hinder a Task to be achieved. Solution Space The amount of variation allowed on a State while still counting as a Solution to a Problem. Task Space The size of variations on a Task that would have be explored with no up-front knowledge or information about the Solution Space of a Problem.

### Limited Time & Energy

 Task All tasks have a limited time & energy: No Task exists that can be performed with infinite energy, or for for which infinite time is available for achieving. LTE Limited Time & Energy.