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--- public:tasktheorymain [2019/04/05 13:19] – [PAPERS] thorisson
+++ public:tasktheorymain [2024/04/29 13:33] (current) – external edit 127.0.0.1
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+===LINKS===
+  * [[internal:tasktheorymain:tasktheory2019|Task Theory 2019]]
+  * [[http://cadia.ru.is/wiki/causal_reasoning_19:main|Reasoning in NARS]] - Sindri Páll
+  * [[internal:tasktheorymain:wavesworld2019|WavesWorld Progress 2019]]
+====PROJECT DESCRIPTION====
 The evaluation of intelligent systems is a complex task, due to (among other things) the fact that they adapt and change over time, and operate in environments that do the same. When a system has *general* intelligence the task gets even harder. What is needed is a better theoretical basis for both learning/adaptation and task construction/decomposition.
 Task Theory focuses on the latter - hopfully easier - part of the challenge: creating a mathematical framework around task-environments, grounded in physics, that can be (ultimately) used to predict and explain the difference and similarities between task-environments in physical terms.
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-. [[internal:tasktheorymain:tasktheory2019|Task Theory 2019]]
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   * A New AI Evaluation Cosmos: Ready to Play the Game? by J. Hernandez-Orallo et al.
-    - This paper gives you a good idea of how most researchers are currently addressing evaluation of AI systems.
+    * This paper gives you a good idea of how most researchers are currently addressing evaluation of AI systems. https://www.aaai.org/ojs/index.php/aimagazine/article/view/2748/2650
   * Evaluation of General-Purpose Artificial Intelligence: Why, What & How by J. Bieger et al.
-    - This paper provides a good overview of our approach to what we call Task Theory - an attempt at creating a more detailed framework that is not only practical but takes some steps in the direction of a theory of physical work.
+    *- This paper provides a good overview of our approach to what we call Task Theory - an attempt at creating a more detailed framework that is not only practical but takes some steps in the direction of a theory of physical work. http://alumni.media.mit.edu/~kris/ftp/EGPAI_2016_paper_9.pdf
   * Towards Flexible Task-Environments For Comprehensive Evaluation of Artificial Intelligent Systems & Automatic Leaners by K. R. Thórisson et al.
-    - Lists the many desired features of a flexible task environment framwork that can be used to evaluate intelligent systems.
+    * Lists the many desired features of a flexible task environment framwork that can be used to evaluate intelligent systems.  http://alumni.media.mit.edu/~kris/ftp/AGIEvaluationFlexibleFramework-ThorissonEtAl2015.pdf
   * Why Artificial Intelligence Needs a Task Theory — And What It Might Look Like by K. R. Thórisson et al.
-    - Some initial ideas for a mathematical framework.
+    * Some initial ideas for a mathematical framework. http://alumni.media.mit.edu/~kris/ftp/AGI16_task_theory.pdf
   * FraMoTEC: Modular Task-Environment Construction Framework for Evaluating Adaptive Control Systems by Thorarensen et al.
-    - First framework that attempted to do an actual implementation addressing the aim of Task Theory.
+    * First framework that attempted to do an actual implementation addressing the aim of Task Theory.  http://alumni.media.mit.edu/~kris/ftp/EGPAI_2016_paper_8.pdf
 Papers that might give us some more ideas for how to think about this:
-  * Theory of Hybrid Automata by T. A. Henzinger. HYBRID SYSTEMS: GENERALIZED SOLUTIONS AND ROBUST STABILITY by R. Goebel et al.
+  * Theory of Hybrid Automata by T. A. Henzinger.
+    * http://pub.ist.ac.at/~tah/Publications/the_theory_of_hybrid_automata.pdf
+  * HYBRID SYSTEMS: GENERALIZED SOLUTIONS AND ROBUST STABILITY by R. Goebel et al.
+    * http://webpages.math.luc.edu/~rgoebel1/publications/conferences/GoebelHespanhaTeelCaiSanfelice04NOLCOS.pdf