Description : Define Boundary set.
Last Answer : Each boundary will not be a point but rather a set of hypotheses called a Boundary set.
Description : Define magic set.
Last Answer : To rewrite the rule set, using information from the goal, so that only relevant variable bindings called magic set.
Description : In LISP, what is the function assigns the symbol x to y? a) (setq y x) b) (set y = ‘x’) c) (setq y = ‘x’) d) (setq y ‘x’)
Last Answer : d) (setq y ‘x’)
Description : What is Weak AI? a) the embodiment of human intellectual capabilities within a computer b) a set of computer programs that produce output that would be considered to reflect intelligence if it ... the study of mental faculties using mental models implemented on a computer d) all of the mentioned
Last Answer : c) the study of mental faculties using mental models implemented on a computer
Description : ____________ is measured by the number of mental structures we use, how abstract they are, and how elaborate they interact to shape our perceptions. a) intrapersonal structure b) perceptual set c) self-justification d) none of the mentioned
Last Answer : d) none of the mentioned
Description : What is a finite set of rules that specifies a language? a) Signs b) Communication c) Grammar d) Phrase
Last Answer : c) Grammar
Description : What is defined by a set of strings? a) Signs b) Formal language c) Communication
Last Answer : b) Formal language
Description : Which cannot be represented by a set of attributes? a) Program b) Three-dimensional configuration of a protein molecule c) Agents
Last Answer : b) Three-dimensional configuration of a protein molecule
Description : Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned
Last Answer : d) All of the mentioned
Description : What takes input as an object described by a set of attributes? a) Tree b) Graph c) Decision graph d) Decision tree
Last Answer : d) Decision tree
Description : ____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned
Last Answer : c) Fuzzy Set
Description : There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentioned
Last Answer : a) Hedges
Description : Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) All of the mentioned
Description : The values of the set membership is represented by ___________ a) Discrete Set b) Degree of truth c) Probabilities d) Both Degree of truth & Probabilities
Last Answer : b) Degree of truth
Description : The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ a) Fuzzy Set b) Crisp Set c) Fuzzy & Crisp Set d) None of the mentioned
Last Answer : a) Fuzzy Set
Description : Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
Last Answer : a) True
Description : The truth values of traditional set theory is ____________ and that of fuzzy set is __________ a) Either 0 or 1, between 0 & 1 b) Between 0 & 1, either 0 or 1 c) Between 0 & 1, between 0 & 1 d) Either 0 or 1, either 0 or 1
Last Answer : a) Either 0 or 1, between 0 & 1
Description : Traditional set theory is also known as Crisp Set theory. a) True b) False
Description : What is the form of Fuzzy logic? a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic
Last Answer : c) Many-valued logic
Description : In partial order plan. A. Relationships between the actions of the behavior are set prior to the actions B. Relationships between the actions of the behavior are not set until absolutely necessary Choose the ... ) Either A or B can be true depending upon situation d) Neither A nor B is true
Last Answer : a) A is true
Description : A semantic network is used when one has knowledge that is best understood as a set of concepts that are related to one another. a) True b) False
Description : A) Knowledge base (KB) is consists of set of statements. B) Inference is deriving a new sentence from the KB. Choose the correct option. a) A is true, B is true b) A is false, B is false c) A is true, B is false d) A is false, B is true
Last Answer : a) A is true, B is true
Description : ____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment. a) Static CSPs b) Dynamic CSPs c) Flexible CSPs d) None of the mentioned
Last Answer : b) Dynamic CSPs
Description : The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is ... also possible to go all the way to set of variable that caused failure. a) True b) False
Description : _______________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations. a) Constraints Satisfaction Problems b) Uninformed Search Problems c) Local Search Problems d) All of the mentioned
Last Answer : a) Constraints Satisfaction Problems
Description : A production rule consists of ____________ a) A set of Rule b) A sequence of steps c) Set of Rule & sequence of steps d) Arbitrary representation to problem
Last Answer : c) Set of Rule & sequence of steps
Description : The Set of actions for a problem in a state space is formulated by a ___________ a) Intermediate states b) Initial state c) Successor function, which takes current action and returns next immediate state d) None of the mentioned
Last Answer : c) Successor function, which takes current action and returns next immediate state
Description : In LISP, the function evaluates both and is _____________ a) set b) setq c) add d) eva
Last Answer : a) set
Description : Strong Artificial Intelligence is __________ a) the embodiment of human intellectual capabilities within a computer b) a set of computer programs that produce output that would be considered to reflect ... through the use of mental models implemented on a computer d) all of the mentioned
Last Answer : a) the embodiment of human intellectual capabilities within a computer
Description : The crossover points of a membership function are defined as the elements in the universe for which a particular fuzzy set has values equal to A. infinite B. 1 C. 0 D. 0.5
Last Answer : D. 0.5
Description : The membership values of the membership function are nor strictly monotonically increasing or decreasing or strictly monoronically increasing than decreasing. A. Convex Fuzzy Set B. Non convex fuzzy set C. Normal Fuzzy set D. Sub normal fuzzy set
Last Answer : B. Non convex fuzzy set
Description : A fuzzy set has a membership function whose membership values are strictly monotonically increasing or strictly monotonically decreasing or strictly monotonically increasing than strictly monotonically decreasing with increasing ... fuzzy set C. Non concave Fuzzy set D. Non Convex Fuzzy set
Last Answer : A. convex fuzzy set
Description : A fuzzy set wherein no membership function has its value equal to 1 is called A. normal fuzzy set B. subnormal fuzzy set. C. convex fuzzy set D. concave fuzzy set
Last Answer : B. subnormal fuzzy set.
Description : In a Fuzzy set a prototypical element has a value A. 1 B. 0 C. infinite D. Not defined
Last Answer : A. 1
Description : The region of universe that is characterized by complete membership in the set is called A. Core B. Support C. Boundary D. Fuzzy
Last Answer : A. Core
Description : Membership function defines the fuzziness in a fuzzy set irrespective of the elements in the set, which are discrete or continuous. A. True B. False
Last Answer : B. False
Description : Transparency A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : C. Worth of the output of a machine learning program that makes it understandable for humans
Description : Vector A. It do not need the control of the human operator during their execution B. An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars C. The validation of a theory on the basis of a finite number of examples D. None of these
Last Answer : B. An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars
Description : Shallow knowledge A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : B. The information stored in a database that can be, retrieved with a single query
Description : Search space A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query. C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : A . The large set of candidate solutions possible for a problem
Description : extendible architecture is A. Modular design of a software application that facilitates the integration of new modules B. Showing a universal law or rule to be invalid by providing a counter example C. ... of attributes in a database table that refers to data in another table D. None of these
Last Answer : A. Modular design of a software application that facilitates the integration of new modules
Description : Falsification is A. Modular design of a software application that facilitates the integration of new modules B. Showing a universal law or rule to be invalid by providing a counter example C. A set of attributes in a database table that refers to data in another table D. None of these
Last Answer : B. Showing a universal law or rule to be invalid by providing a counter example
Description : This set of Artificial Intelligence MCQs focuses on Neural Networks - 2 . 1. Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in ... by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.
Last Answer : d) Because it is the simplest linearly inseparable problem that exists.
Description : ______ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned
Description : There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentione
Description : Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) EX-OR
Last Answer : a) AND b) OR c) NOT
Description : The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c
Description : The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set