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public:t-720-atai:atai-19:main [2019/09/12 11:01]
thorisson [Assignments]
public:t-720-atai:atai-19:main [2019/10/03 10:28] (current)
thorisson [Assignments]
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 **Readings:**  [[:public:t-720-atai:ATAI-19:Readings|Readings in SC-T-720-ATAI-19]] \\ **Readings:**  [[:public:t-720-atai:ATAI-19:Readings|Readings in SC-T-720-ATAI-19]] \\
 **Lecture Notes:**  [[:public:t-720-atai:ATAI-19:Lecture_Notes|Lecture Notes in CS-T-720-ATAI-19]] \\ **Lecture Notes:**  [[:public:t-720-atai:ATAI-19:Lecture_Notes|Lecture Notes in CS-T-720-ATAI-19]] \\
-**DaysTuesdays** | **Time: V110** **Classroom: M108** \\+**Classes:** Tuesdays 9:45, Room: V110   Fridays 9:45, Room: M108 \\
 **Class Schedule:** See Canvas \\ **Class Schedule:** See Canvas \\
-Discussions: [[https://piazza.com/class/jzib0qjz3bp2nu|SC-T-720-ATAI-19 on Piazza]] <-This may change+Discussions: [[https://piazza.com/class/jzib0qjz3bp2nu|SC-T-720-ATAI-19 on Piazza]]
 \\ \\
 \\ \\
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   * Students should be able to:    * Students should be able to: 
-    * Identify key challenging research questions related to advanced machine learning and (AML) artificial general intelligence (AGI) and general machine intelligence (GMI)+    * Identify key challenging research questions related to advanced machine learning (AML)artificial general intelligence (AGI)and general machine intelligence (GMI)
     * List methodological difficulties and proposed solutions to building AML/AGI systems     * List methodological difficulties and proposed solutions to building AML/AGI systems
     * Explain key components of some AML/AGI architectures, and how these relate to the creation of truly intelligent machines of the future     * Explain key components of some AML/AGI architectures, and how these relate to the creation of truly intelligent machines of the future
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   * Students should have a good idea of:   * Students should have a good idea of:
     * The limitations of current AI methodologies     * The limitations of current AI methodologies
-    * How AGI differs from "narrow AI" +    * How the pursuit of AGI differs from development of "narrow AI" 
-    * Some AML/AGI projects in progress +    * Some AML/AGI projects in development 
-    * What the main requirements are for building complete minds+    * What the main requirements are for building (more) complete minds
     * What methodologies are currently available and applicable for building complete minds     * What methodologies are currently available and applicable for building complete minds
     * How software architecture plays a central role in AI, robotics, and AGI     * How software architecture plays a central role in AI, robotics, and AGI
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-====Assignments====+=====Assignments=====
 //Note: This assignment outline is indicative; until Sept. 30st some details of these assignments, and their percentage of total grade, may change. Please take note of announcements on Canvas. // //Note: This assignment outline is indicative; until Sept. 30st some details of these assignments, and their percentage of total grade, may change. Please take note of announcements on Canvas. //
  
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 === Engineering Assignments === === Engineering Assignments ===
  
-These will be given in the first half of the course. //Note: grade percentage subject to change.//+These will be given in the first half of the course.
  
-  * Each counts 5%, total 15% of final grade.+  * Total 22% of final grade.
   * [[public:t-720-atai:ATAI-19:Control Assignment 1|Control Assignment 1]]. Counts 5% of final grade.   * [[public:t-720-atai:ATAI-19:Control Assignment 1|Control Assignment 1]]. Counts 5% of final grade.
-  * [[public:t-720-atai:ATAI-19:Engineering Assignment 2|TBD]]. Counts 5% of final grade. +  * [[public:t-720-atai:ATAI-19:Engineering Assignment 2|Control Assignment 2]]. Counts 7% of final grade. 
-  * [[public:t-720-atai:ATAI-19:Engineering Assignment 3|TBD]]. Counts 5% of final grade.+  * [[public:t-720-atai:ATAI-19:Engineering Assignment 3|NARS Assignment 1]]. Counts 10% of final grade. You will use the AGI-aspiring system NARS [[http://code.google.com/p/open-nars/|NARS environment]] (see [[http://code.google.com/p/open-nars/source/browse/trunk/nars-dist/Examples/|examples]])
 \\ \\
  
 === Short Essay === === Short Essay ===
  
-  * Counts 15% of final grade. //Note: subject to change.// +  * Counts 12% of final grade.  
-  * [[public:t-720-atai:ATAI-19:Essay Assignment 1|Essay Assignment]]+  * [[public:t-720-atai:ATAI-19:Essay Assignment|Essay Assignment]]
 \\ \\
  
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 These will be pursued in the second half of the course. These will be pursued in the second half of the course.
  
-  * Count 2% each, total 10% of final grade. //Note: subject to change.//+  * Count 2% each, total 10% of final grade. 
   * Regular Discussions of reading material will be held for 20-30 minutes in class. Your participation to counts towards your **Discussion Topics grade**.    * Regular Discussions of reading material will be held for 20-30 minutes in class. Your participation to counts towards your **Discussion Topics grade**. 
   * For discussions we will use the forum on [[https://piazza.com/ru.is/spring2019/t720atai2019/home|Piazza.com]].   * For discussions we will use the forum on [[https://piazza.com/ru.is/spring2019/t720atai2019/home|Piazza.com]].
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     * In the discussion section of the  Friday class in the week after, chosen questions from those submitted will be discussed by the group as a whole and you are expected to participate.     * In the discussion section of the  Friday class in the week after, chosen questions from those submitted will be discussed by the group as a whole and you are expected to participate.
   * Participation in class discussions is an important part of the course, and mandatory.   * Participation in class discussions is an important part of the course, and mandatory.
-  * **Grading: 20%** of final grade.+  * **Grading: 10%** of final grade.
     * Each topic counts equally towards the grade     * Each topic counts equally towards the grade
-    * Attendance in 2 in-class discussions may be omitted with no effect on grade 
-    * In-person attendance at 2 discussion classes may be omitted with no effect on grade 
  
-//+\\
  
 === Final Project === === Final Project ===
  
-  * Counts 20% of final grade. //Note: subject to change.// +  * Counts 16% of final grade.  
-  * As a final software exercise students will pair up in teams of 2 students per team. The final form will be decided before Sept. 20. To give you already an idea of its form, this project will be of your own design, using: +  * As a final software exercise students will pair up in teams of 2 students per team. You will use the AGI-aspiring system NARS [[http://code.google.com/p/open-nars/|NARS environment]] (see [[http://code.google.com/p/open-nars/source/browse/trunk/nars-dist/Examples/|examples]]).
-    * the AGI-aspiring system NARS [[http://code.google.com/p/open-nars/|NARS environment]] (see [[http://code.google.com/p/open-nars/source/browse/trunk/nars-dist/Examples/|examples]]), OR TBD+
   * In-detail description: [[:public:t-720-atai:ATAI-19:final project|Final Project]]   * In-detail description: [[:public:t-720-atai:ATAI-19:final project|Final Project]]
  
-//+\\
  
 ===Final Exam=== ===Final Exam===
  
-  * Final Exam will **count 40%** of final grade. //Note: subject to change.//+  * Final Exam will **count 40%** of final grade. 
     * Subject matter / focus: Any of the material and topics covered in readings, assignments, discussions, and in class.     * Subject matter / focus: Any of the material and topics covered in readings, assignments, discussions, and in class.
     * A grade of 6 or higher on the final exam is required to pass the course.      * A grade of 6 or higher on the final exam is required to pass the course. 
/var/www/ailab/WWW/wiki/data/attic/public/t-720-atai/atai-19/main.1568286095.txt.gz · Last modified: 2019/09/12 11:01 by thorisson