ARTIFICIAL INTELLIGENCE [INTELLIGENT AGENTS PARADIGM] Professor Janis Grundspenkis Riga Technical University Faculty of Computer Science and Information Technology Institute of Applied Computer Systems Department of Systems Theory and Design SIMPLE INTELLIGENT AGENTS

Intelligent Agents and Their Programs An agent is just something that perceives and acts Variety of definitions Agent functions: mapping percepts to actions

Rational Agent One that does the right thing How and when to evaluate the agents success? What is rational depends on four factors: –Performance measure (for the how?) –Percept sequence –Knowledge about the environment –Actions Ideal rational and omniscient agents

Autonomous Agent One whose actions are not based completely on built-in knowledge One whose actions are based on both built-in knowledge and own experience Initial knowledge provides an ability to learn A truly autonomous agent can adapt to a wide variety of environments

Structures of Intelligent Agents Agent is a program and an architecture Initial phase for agent program is to understand and describe: –Percepts –Actions –Goals –Environment

Agent Programs (1) Skeleton-Agent > Single percept Update-Memory(memory, percept) Choose-Best-Action(memory) > Action Update-Memory(memory, action) Return: action

Agent Programs (2) Table-Driven-Agent > Percept sequences Look-Up(percepts, table) Return: action

Agent Programs (3) Rule-Based Agent (simple reflex agent) > Percept Interpretation(percept) > Rule match Interpreted percept IF pattern > Rule Firing THEN pattern > Action Return: action Applications: logical reasoning systems

Agent Programs (4) Model-Based Agent > Percept Update-State(state, percept) > Rule match State IF pattern > Rule Firing THEN pattern > Action Return: action Applications: logical reasoning systems, decision making agents

Agent Programs (5) Goal-Based Agent > Goal > Inference > Search and Planning Applications: planning agents

Agent Programs (6) Utility-Based Agent > Utility Applications: game playing, decision making agents