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For each of the following activities, give a PEAS description of the task environment and characterize it in terms of the properties listed in Section

For each of the following activities, give a PEAS description of the task environment and characterize it in terms of the properties listed in Section 2.3.2.

  • Playing soccer
  • Exploring the subsurface oceans of Titan
  • Shopping for used AI books on the Internet
  • Playing a tennis match
  • Practicing tennis against a wall
  • Performing a high jump
  • Knitting a sweater
  • Bidding on an item at a (nonInternet) auction.

Use table 2.5 as a guide. image text in transcribed

Properties listed in 2.3.2 are as follows:

Fully observable vs. partially observable

Single agent vs. multiagent Competetive vs. Cooperative Deterministic vs Stochastic

Episodic vs Sequential

Static vs. dynamic Discrete vs. Continuous

Here is an example of task environment and their characteristics

image text in transcribed

Agent Type Environment Performance Measure Actuators Sensors Medical diagnosis system Healthy patient. reduced costs Patient, hospital, staff Display of questions, tests, diagnoses, treatments, referrals Keyboard entry of symptoms, findings, patient's answers Satellite image analysis system Correct image categorization Downlink from orbiting satellite Display of scene categorization Color pixel arrays Part-picking robot Percentage of parts in correct bins Conveyor belt with parts; bins Jointed arm and hand Camera, joint angle sensors Refinery controller Purity, yield, safety Refinery, operators Valves, pumps, heaters, displays Temperature, pressure, chemical sensors Keyboard entry Interactive English tutor Student's score on test Set of students, testing agency Display of exercises, suggestions, corrections Figure 2.5 Examples of agent types and their PEAS descriptions. Task Environment Observable Agents Deterministic Episodic Static Discrete Crossword puzzle Chess with a clock Fully Fully Single Deterministic Sequential Multi Deterministic Sequential Static Semi Discrete Discrete Poker Backgammon Partially Fully MultiStochastic Multi Stochastic Sequential Sequential Static Static Discrete Discrete Taxi driving Medical diagnosis Partially Partially Multi Single Stochastic Stochastic Sequential Dynamic Continuous Sequential Dynamic Continuous Image analysis Part-picking robot Fully Partially Single Deterministic Single Stochastic Episodic Semi Continuous Episodic Dynamic Continuous Refinery controller Interactive English tutor Partially Partially Single Multi Stochastic Stochastic Sequential Dynamic Continuous Sequential Dynamic Discrete Figure 2.6 Examples of task environments and their characteristics. Agent Type Environment Performance Measure Actuators Sensors Medical diagnosis system Healthy patient. reduced costs Patient, hospital, staff Display of questions, tests, diagnoses, treatments, referrals Keyboard entry of symptoms, findings, patient's answers Satellite image analysis system Correct image categorization Downlink from orbiting satellite Display of scene categorization Color pixel arrays Part-picking robot Percentage of parts in correct bins Conveyor belt with parts; bins Jointed arm and hand Camera, joint angle sensors Refinery controller Purity, yield, safety Refinery, operators Valves, pumps, heaters, displays Temperature, pressure, chemical sensors Keyboard entry Interactive English tutor Student's score on test Set of students, testing agency Display of exercises, suggestions, corrections Figure 2.5 Examples of agent types and their PEAS descriptions. Task Environment Observable Agents Deterministic Episodic Static Discrete Crossword puzzle Chess with a clock Fully Fully Single Deterministic Sequential Multi Deterministic Sequential Static Semi Discrete Discrete Poker Backgammon Partially Fully MultiStochastic Multi Stochastic Sequential Sequential Static Static Discrete Discrete Taxi driving Medical diagnosis Partially Partially Multi Single Stochastic Stochastic Sequential Dynamic Continuous Sequential Dynamic Continuous Image analysis Part-picking robot Fully Partially Single Deterministic Single Stochastic Episodic Semi Continuous Episodic Dynamic Continuous Refinery controller Interactive English tutor Partially Partially Single Multi Stochastic Stochastic Sequential Dynamic Continuous Sequential Dynamic Discrete Figure 2.6 Examples of task environments and their characteristics

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