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The correct choice is (a) CRITIC

Best EXPLANATION: The learning element gets the FEEDBACK from the critic which is presented in the environment on how the AGENT is doing.

The correct choice is (b) Task ENVIRONMENT

To explain I WOULD say: In PEAS, Where P stands for PERFORMANCE measure which is always included in task environment.

Right ANSWER is (a) Local

The explanation is: STOCHASTIC behavior are RATIONAL because it avoids the PITFALL of predictability.

Right answer is (a) STATIC

To elaborate: As the problem in crossword PUZZLE are POSED at BEGINNING itself, So it is static.

Right option is (a) Deterministic

To EXPLAIN I would say: If the environment is deterministic except for the action of other AGENT is CALLED deterministic.

The correct option is (d) Both Partial & FULLY

Explanation: Partial and fully OBSERVABLE ENVIRONMENTS are present in artificial intelligence.

The correct choice is (C) Performance, Environment, Actuators, Sensors

To EXPLAIN: TASK environment will contain PEAS which is used to PERFORM the action independently.

Correct option is (a) Problem

Easiest explanation: TASK environments will pose a problem and RATIONAL agent will find the solution for the POSED problem.

Right OPTION is (d) Both Decision-making & LEARNING algorithm

Explanation: Decision-making and learning ALGORITHMS can operate over the joint state space and thereby SERVE to implement and used to IMPROVE the computational activities.

The CORRECT answer is (b) Reflective

Easy explanation: Because it enables the AGENT to capture WITHIN itself.

Right option is (d) All of the mentioned

The EXPLANATION is: Because an agent may experience any kind of SITUATION, So that an agent should USE all kinds of ARCHITECTURE.

Correct OPTION is (c) Hybrid

Explanation: A COMPLETE agent MUST be able to do ANYTHING by using hybrid ARCHITECTURE.

The CORRECT answer is (b) Reward

For explanation I WOULD say: Reward functions MAY be that preferences over STATES are really compared from preferences over state histories.

The correct answer is (a) Filtering ALGORITHM

The explanation is: Filtering algorithm is used for TRACKING UNCERTAIN events because in this the real perception is INVOLVED.

Right ANSWER is (b) AI system

For explanation: AI systems were built in such a way that humans had to supply the INPUTS and INTERPRET the outputs.

The correct answer is (c) DESIGN PROBLEM

Best explanation: The design problem DEPENDS on the percepts and actions available to the agent, the goals that the agent’s BEHAVIOR should satisfy.

The CORRECT OPTION is (a) Updating HEURISTIC estimate

The BEST EXPLANATION: Updating heuristic estimates from experience provides an effective method to escape from local minima.

The CORRECT answer is (a) Returns an OPTIMAL solution when there is a proper COOLING schedule

Best explanation: NONE.

Correct OPTION is (d) Both RBFS & SMA*

To explain I would say: RBFE and SMA* will SOLVE any KIND of problem that A* can’t by using limited amount of MEMORY.

Right choice is (c) Hill-climbing SEARCH ALGORITHM

The explanation is: Hill-climbing search algorithm will have only CURRENT STATE in memory, So it is an ONLINE search algorithm.

Right choice is (B) REVERSIBLE state spaces

The EXPLANATION: Online-DFS-Agent will work only state spaces where the ACTIONS are reversible.

Right option is (d) Partially Observable

For explanation: SYSTEM KNOWS the CURRENT status of the ANALYSIS thought its inputs.

Right ANSWER is (b) Online SEARCH

To EXPLAIN: In online search, it will first TAKE an action and then observes the environment.

The correct choice is (b) False

The explanation: The GAME of POKER involves multiple player, HENCE its works in Multi-agent ENVIRONMENT.

Right CHOICE is (a) Fully Observable

The explanation is: In crossword PUZZLE an agent knows the complete STATE of the ENVIRONMENT through its sensors.

Correct choice is (d) All of the mentioned

To elaborate: The task environment of an agent is DESCRIBED by four parts performance MEASURES, sensors, actuators and environment, GENERALLY KNOWN as the PEAS descriptions.

Correct CHOICE is (a) True

The EXPLANATION is: Refer the DEFINITION of rational and omniscient agents.

The CORRECT choice is (d) All of the mentioned

To explain I WOULD SAY: For each possible percept sequence, a rational agent should select an ACTION that is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever built-in knowledge the agent has.

The CORRECT CHOICE is (a) True

Easy explanation: As a general rule, it is better to design PERFORMANCE measures according to what one ACTUALLY wants in the environment, RATHER than according to how one thinks the agent should behave.

Right choice is (a) True

The best explanation: Rational agent is the ONE who always does the right thing Right in a SENSE that it makes the agent the most SUCCESSFUL.

The CORRECT option is (b) Agent function

To explain I would SAY: An agent’s behavior is described by the agent function that maps any GIVEN percept sequence to an ACTION, which can be implemented by agent program. The agent function is an abstract mathematical description; the agent program is a concrete implementation, running on the agent architecture.

The CORRECT OPTION is (d) All of the mentioned

Explanation: All sectors REQUIRE INTELLIGENCE and AUTOMATION for its working.

Correct answer is (d) PERL

Easy EXPLANATION: Because Perl is USED as a script language, and not of much use for AI PRACTICE. All others are used to generate an artificial program.

Right answer is (c) MAKING a Machine intelligent

Easy explanation: Because AI is to make things work automatically through machine without using human effort. Machine will give the result with just giving INPUT from human. That means the system or machine will act as PER the REQUIREMENT.

Correct choice is (d) Both SEARCH & PLAN

Easiest explanation: When the environment becomes more tricky means, the agent NEEDS plan and search action SEQUENCE to achieve the GOAL.

Correct answer is (d) UTILITY based agent

Easy explanation: A utility FUNCTION MAPS a STATE onto a REAL number which describes the associated degree of happiness.

Right answer is (a) LEARNING AGENT

For explanation I would say: PROBLEM generator will give the SUGGESTION to IMPROVE the output for learning agent.