Second Examination STS Internet and Society Goertzel
 

Multiple Choice Questions. Choose the one best answer and mark it on your answer sheet. Be sure to answer every item, even if you must "guess."
 

Be sure to fill in the bubble for your student number on the answer sheet and to fill in the bubble for "Test Form A".
 

Put your name here: . This is important because the essay question will be answered on the back of this test.
 

  1. A WebMind "node" is:
    1. similar to a neuronal group in the brain
    2. an "object" in the Java programming language
    3. a mini artificial intelligence program containing both instructions and data
    4. all of the above
    5. none of the above

    6.  
  2. Nodes:
    1. interact primarily with other nodes
    2. interact primarily with the user of the program

    3.  
  3. The structure of WebMind was designed to be analogous to the structure of:
    1. an ant colony
    2. the library of congress
    3. the human brain
    4. a university
    5. a family

    6.  
  4. A "Psynet" is analogous to:
    1. a neuronal group
    2. a committee or team
    3. a neuron
    4. a brain
    5. a muscle

    6.  
  5. Which connections are fast enough for a Psynet:
    1. ethernet connections
    2. internet connections
    3. both of the above
    4. neither of the above

    5.  
  6. The intelligent core of a WebMind system is:
    1. a collection of nodes called a PsynetLobe
    2. a single pod

    3.  
  7. WebMind servers come with:
    1. a standard collection of pods specialized for different functions
    2. a large mass of neurons which organize themselves without any predefined structure

    3.  
  8. Each pod in WebMind:
    1. carries its own threads which cycle through all the agents in the pod
    2. is linked to a central control node which determines which pods it can interact with

    3.  
  9. Which is most concerned with the outside world:
    1. the PsyContext pod
    2. the TextNodes
    3. the DataNodes
    4. the Category Nodes
    5. the TimeNodes

    6.  
  10. WebMind Nodes:
    1. pay attention only to phenomena they are instructed to look at
    2. sometimes make their own decisions about what to pay attention to

    3.  
  11. Which of the following parts of WebMind are least analogous to any part of the brain:
    1. the PsynetLobes
    2. the perceptual modules
    3. the PsyContext Pods
    4. the Natural Language modules
    5. the wanderer agents

    6.  
  12. WebMind operates on the assumption that:
    1. language and thought are basically the same process
    2. language and thought are two distinct processes

    3.  
  13. WebMind has:
    1. long term memory
    2. short term memory
    3. both of the above
    4. neither of the above

    5.  
  14. WebMind:
    1. remembers everything it ever learns
    2. forgets things it doesn't use or need
  15. WebMind:
    1. uses "fuzzy" sets
    2. eliminates all fuzzy elements of thinking

    3.  
  16. WebMind agents:
    1. have the ability to look inside themselves
    2. can only look at other things

    3.  
  17. WebMind agents:
    1. are created by a recursive process
    2. are created by a genetic or evolutionary algorithm
    3. are created by a neural network

    4.  
  18. The WebMind feature which deals with human questions is called a:
    1. QueryNode
    2. PsynetLobe
    3. ContextLobe
    4. VoiceMailLobe

    5.  
  19. WebMind:
    1. deals with one thing at a time
    2. can deal with hundreds of trains of thought at a time

    3.  
  20. WebMind's immediate perceptual reality is:
    1. numerical data
    2. linguistic communication
    3. both of the above
    4. neither of the above

    5.  
  21. Which of the following is an interconnected assembly of simple processing elements, with the processing ability stored in inter-unit connections:
    1. recursive algorithm
    2. neural net algorithm
    3. evolutionary algorithm

    4.  
  22. Which of the following learns by a process of adapting to a set of training patterns:
    1. recursive algorithm
    2. neural net algorithm
    3. evolutionary algorithm

    4.  
  23. In which of the following is the information stored primarily as weights:
    1. recursive algorithm
    2. neural net algorithm
    3. evolutionary algorithm

 
  1. In which of the following is a selection made among a large number of competing programs:
    1. recursive algorithm
    2. neural net algorithm
    3. evolutionary algorithm

    4.  
  2. In which of the following are the procedures strictly defined in advance by the programmer:
    1. recursive algorithm
    2. neural net algorithm
    3. evolutionary algorithm

    4.  
  3. Which of the following was used by the Big Blue chess program:
    1. recursive algorithm
    2. neural net algorithm
    3. evolutionary algorithm

    4.  
  4. A VonNeumann machine uses primarily which:
    1. recursive algorithm
    2. neural net algorithm
    3. evolutionary algorithm

    4.  
  5. Which of the following is the most rigid and brittle:
    1. recursive algorithm
    2. neural net algorithm
    3. evolutionary algorithm

    4.  
  6. Which of the following is most consilient with Edward O. Wilson's biological theories:
    1. recursive algorithm
    2. neural net algorithm
    3. evolutionary algorithm

    4.  
  7. A VonNeumann machine:
    1. is a very common kind of computer architecture
    2. is a very rare kind of computer architecture

    3.  
  8. A VonNeumann machine:
    1. does exactly what it is instructed to do
    2. figures out for itself what to do

    3.  
  9. A VonNeumann machine:
    1. is best for tasks which can be easily formalized
    2. is best for tasks which cannot be easily formalized
  10. A neural net architecture:
    1. is best for tasks which can be easily formalized
    2. is best for tasks which cannot be easily formalized

    3.  
  11. Which is most robust in dealing with "noisy" data:
    1. a VonNeumann machine using a recursive algorithm
    2. a neural net program

    3.  
  12. Which is best for dealing with unseen or unanticipated patterns:
    1. a VonNeumann machine using a recursive algorithm
    2. a neural net program

    3.  
  13. Which concentrates high level concepts in a small portion of the computer memory:
    1. a VonNeumann machine using a recursive algorithm
    2. a neural net program

    3.  
  14. WebMind is organized as a:
    1. hierarchy
    2. heterarchy
    3. both
    4. neither

    5.  
  15. The goal of WebMind is to:
    1. apply a theory of how the brain works to an artificial intelligence system
    2. develop a totally new way of thinking, fundamentally different from how the brain works

    3.  
  16. In WebMind:
    1. intelligence is programmed into the system
    2. intelligence evolves from the dynamics of the system

    3.  
  17. WebMind's logic is fundamentally: a. digital b. analog

  18.  
  19. In WebMind:
    1. the meaning of an entity is what the user thinks it is
    2. the meaning of an entity is the set of patterns associated with it

    3.  
  20. When WebMind is truly intelligent, it is intended to function at which level of Peircian metaphysics: a. first b. second c. third d. fourth

  21.  
  22. Which principle helps keep WebMind from going "crazy":
    1. hierarchy b. heterarchy
  23. WebMind assumes that:
    1. the logic of language and the logic of physical reality are much the same
    2. the logic of language and the logic of physical reality are fundamentally different

    3.  
  24. Ben expects that when finished WebMind:
    1. will be able to pass the Turing Test
    2. will be able to carry on intelligible conversations in English but will not pass the Turing Test
    3. will be unable to carry on intelligible conversations in English

    4.  
  25. Anna Wierzbicka believes that:
    1. all languages have the same set of fundamental concepts
    2. all languages have fundamentally different concepts

    3.  
  26. WebMind uses which kind of meaning sharing:
    1. symmetric
    2. asymmetric
    3. emergent
    4. all of the above
    5. none of the above

    6.  
Essay Question:
 

Choose ONE of the following questions and write your answer on the back of this test. Your answer should be an essay with complete sentences and paragraphs, not a list or an outline.
 

1. Compare and contrast recursive and evolutionary algorithms. Give an example of how each might be used.

2. Compare and contrast Neural Net architecture with the architecture of the traditional Von Neumann machine. Give an example of each.
 

3. Describe the distinctive features of the WebMind software and show how its organization is similar to that of the brain.
 

4. Explain the concept of semantic universals and how these are thought to function in the brain and in the WebMind software.