CSC 人工智能.pptVIP

CSC 480: Artificial Intelligence Dr. Franz J. Kurfess Computer Science Department Cal Poly Course Overview Introduction Intelligent Agents Search problem solving through search informed search Games games as search problems Chapter OverviewIntelligent Agents Motivation Objectives Introduction Agents and Environments Rationality Agent Structure Logistics Project Team Wikis, pages project description team members PolyLearn Section 03 merged into Section 01 groups set up for project teams Lab and Homework Assignments Lab 1 due tonight (23:59) Lab 2 available: simple agents in the BotEnvironment Quizzes Quiz 0 - Background Survey still available Quiz 1 - Available Tue, Sep. 24, all day (0:00 - 23:59) Bridge-In Pre-Test Motivation agents are used to provide a consistent viewpoint on various topics in the field AI agents require essential skills to perform tasks that require intelligence intelligent agents use methods and techniques from the field of AI Objectives introduce the essential concepts of intelligent agents define some basic requirements for the behavior and structure of agents establish mechanisms for agents to interact with their environment Evaluation Criteria What is an Agent? in general, an entity that interacts with its environment perception through sensors actions through effectors or actuators Examples of Agents human agent eyes, ears, skin, taste buds, etc. for sensors hands, fingers, legs, mouth, etc. for actuators powered by muscles robot camera, infrared, bumper, etc. for sensors grippers, wheels, lights, speakers, etc. for actuators often powered by motors software agent functions as sensors information provided as input to functions in the form of encoded bit strings or symbols functions as actuators results deliver the output Agents and Environments an agent perceives its environment through sensors the complete set of inputs at a given time is called a percept the current percept, or a sequence of percepts may influence the actions of an ag