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public:t-720-atai:atai-19:main [2019/08/15 12:54]
thorisson [PLEASE NOTE THAT THIS PAGE IS UNDER CONSTRUCTION]
public:t-720-atai:atai-19:main [2019/10/03 10:28] (current)
thorisson [Assignments]
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-======PLEASE NOTE THAT THIS PAGE IS UNDER CONSTRUCTION======+======THIS PAGE IS UNDER CONSTRUCTION======
 THERE WILL BE SIMILARITIES BETWEEN THIS COURSE AND [[public:t-720-atai:atai-18:main|LAST YEAR'S ATAI, LINKED HERE FOR YOUR CONVENIENCE]]. THERE WILL BE SIMILARITIES BETWEEN THIS COURSE AND [[public:t-720-atai:atai-18:main|LAST YEAR'S ATAI, LINKED HERE FOR YOUR CONVENIENCE]].
  
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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** | **TimeTBD** **ClassroomTBD** \\+**Classes:** Tuesdays 9:45, Room: V110   Fridays 9:45, Room: M108 \\
 **Class Schedule:** See Canvas \\ **Class Schedule:** See Canvas \\
-Discussions: [[https://piazza.com/class/jl2e5nca23b7gz|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 only; 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. //
  
-  * Students should hand in their assignments (using Canvas) on time; if there will be any unnecessary delay in handing in the assignment then students must assume the possibility of a lowered grade.+  * Students should hand in their assignments (using Canvas) on time; if there will be any unnecessary delay in handing in the assignment then students must assume the possibility of a lowered grade or a grade of zero.
  
 +\\
  
-=== Small Projects ===+=== Engineering Assignments ===
  
 These will be given in the first half of the course. These will be given in the first half of the course.
  
-  * Individual programming assignments will be handed out in the first 8 weeks.  +  * Total 22% of final grade
-  * Each assignment counts 5% of the final grade. An extra 1% bonus point (over and above 100%) will be given for quality hand-ins (quality is judged by the depth of the insights expressed, meticulousness, thoroughness and overall quality and coherence).  +  * [[public:t-720-atai:ATAI-19:Control Assignment 1|Control Assignment 1]]. Counts 5% of final grade. 
-  * The code for TEAL can be found here: [[https://github.com/ThrosturX/rl-mouse|TEAL on GitHub]] +  * [[public:t-720-atai:ATAI-19:Engineering Assignment 2|Control Assignment 2]]. Counts 7% of final grade
-  * Instructions for each exercise will be provided at the end of the class they are assigned in. +  * [[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]]) 
-  * **Grading15%** of final grade.+\\
  
-== Small Projects ==+=== Short Essay ===
  
-  * [[:public:t-720-atai:ATAI-19:Braitenberg Assignment|Braitenberg Assignment]]+  * Counts 12% of final grade.  
 +  * [[public:t-720-atai:ATAI-19:Essay Assignment|Essay Assignment]] 
 +\\
  
 === Class Discussions === === Class Discussions ===
  
-This will be pursued in the second half of the course.+These will be pursued in the second half of the course.
  
-  * Regular Discussions of reading material will be held for 30-40 minutes in class. +  * Count 2% each, total 10% of final grade.  
-  * For discussions we will use the forum on [[https://piazza.com/ru.is/spring2018/t720atai2019/home|Piazza.com]]. +  * Regular Discussions of reading material will be held for 20-30 minutes in class. Your participation to counts towards your **Discussion Topics grade**.  
-  * After most Tuesday classes in the second half of the course the instructor will post a link on the online forum to a paper or article on an interesting aspect of AI (more likely than not related to the last 2 week's lecture topics). You need to read this paper or article and by midnight on the following Thursday post, under the same forum thread, 2 questions you have about the contents of the material.  +  * For discussions we will use the forum on [[https://piazza.com/ru.is/spring2019/t720atai2019/home|Piazza.com]]. 
-    * Your posting must arrive by 23:59 on Thursday night (unless an exception has been explicitly mentionedto count towards your **paper discussion grade**+  * After most Tuesday classes in the second half of the course the instructor will post a link on the online forum to a paper or article on an interesting aspect of AI (more likely than not related to the last 2 week's lecture topics). You need to read this paper or article and by Tursday at noon the week after post, under the same forum thread, two (2questions about the contents of the material.  
 +    * Your posting should arrive by 12:00 noon on Thursday the week after assignment (but see exact hand-in time in Canvas - this could vary). 
     * The questions can point out concepts that you have difficulty understanding, but preferably they should be questions that //provoke discussion// from the material.      * The questions can point out concepts that you have difficulty understanding, but preferably they should be questions that //provoke discussion// from the material. 
-    * In the discussion section of the following Tuesday class, 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 ===
  
-  * 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: +  * Counts 16% of final grade.  
-    * 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 +  * 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]]). 
-  * **Grading of software assignments15%** of final grade.  +  * In-detail description: [[:public:t-720-atai:ATAI-19:final project|Final Project]]
-  * [[:public:t-720-atai:ATAI-19:final project|Final Project]]+
  
 +\\
  
 ===Final Exam=== ===Final Exam===
  
-  * Final Exam will **count 45%** of final grade. //Note: percentage of final grade may 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. 
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/var/www/ailab/WWW/wiki/data/attic/public/t-720-atai/atai-19/main.1565873677.txt.gz · Last modified: 2019/08/15 12:54 by thorisson