Phil 3.19.18

7:00 – 5:00 ASRC MKT

    • The Perfect Selfishness of Mapping Apps
      • Apps like Waze, Google Maps, and Apple Maps may make traffic conditions worse in some areas, new research suggests.
    • Cambridge Social Decision-Making Lab
    • More BIC
      • Schema 3: Team reasoning (from a group viewpoint) pg 153
        • We are the members of S.
        • Each of us identifies with S.
        • Each of us wants the value of U to be maximized.
        • A uniquely maximizes U.
        • Each of us should choose her component of A.
      • Schema 4: Team reasoning (from an individual viewpoint) pg 159
        • I am a member of S.
        • It is common knowledge in S that each member of S identifies
          with S.
        • It is common knowledge in S that each member of S wants the
          value of U to be maximized.
        • It is common knowledge in S that A uniquely maximizes U.
        • I should choose my component of A.
      • Schema 7: Basic team reasoning pg 161
        • I am a member of S.
        • It is common knowledge in S that each member of S identifies
          with S.
        • It is common knowledge in S that each member of S wants the
          value of U to be maximized.
        • It is common knowledge in S that each member of S knows his
          component of the profile that uniquely maximizes U.
        • I should choose my component of the profile that uniquely
          maximizes U.

          • Bacharach notes to himself the ‘hunch’ that this schema is ‘the basic rational capacity’ which leads to high in Hi-Lo, and that it ‘seems to be indispensable if a group is ever to choose the best plan in the most ordinary organizational circumstances’. Notice that Schema 7 does not require that the individual who uses it know everyone’s component of the profile that maximizes U.
      • His hypothesis is that group identification is an individual’s psychological response to the stimulus of a particular decision situation. It is not in itself a group action. (To treat it as a group action would, in Bacharach’ s framework, lead to an infinite regress.) In the theory of circumspect team reasoning, the parameter w is interpreted as a property of a psychological mechanism-the probability that a person who confronts the relevant stimulus will respond by framing the situation as a problem ‘for us’. The idea is that, in coming to frame the situation as a problem ‘for us’, an individual also gains some sense of how likely it is that another individual would frame it in the same way; in this way, the value of w becomes common knowledge among those who use this frame. (Compare the case of the large cube in the game of Large and Small Cubes, discussed in section 4 of the introduction.) Given this model, it seems that the ‘us’ in terms of which the problem is framed must be determined by how the decision situation first appears to each individual. Thus, except in the special case in which w == 1, we must distinguish S (the group with which individuals are liable to identify, given the nature of the decision situation) from T (the set of individuals who in fact identify with S). pg 163
    • Starting with the updates
      C:\WINDOWS\system32>pip3 install --upgrade tensorflow-gpu
      Collecting tensorflow-gpu
        Downloading tensorflow_gpu-1.6.0-cp36-cp36m-win_amd64.whl (85.9MB)
          100% |████████████████████████████████| 85.9MB 17kB/s
      Collecting termcolor>=1.1.0 (from tensorflow-gpu)
        Downloading termcolor-1.1.0.tar.gz
      Collecting absl-py>=0.1.6 (from tensorflow-gpu)
        Downloading absl-py-0.1.11.tar.gz (80kB)
          100% |████████████████████████████████| 81kB 6.1MB/s
      Collecting grpcio>=1.8.6 (from tensorflow-gpu)
        Downloading grpcio-1.10.0-cp36-cp36m-win_amd64.whl (1.3MB)
          100% |████████████████████████████████| 1.3MB 1.1MB/s
      Collecting numpy>=1.13.3 (from tensorflow-gpu)
        Downloading numpy-1.14.2-cp36-none-win_amd64.whl (13.4MB)
          100% |████████████████████████████████| 13.4MB 121kB/s
      Collecting astor>=0.6.0 (from tensorflow-gpu)
        Downloading astor-0.6.2-py2.py3-none-any.whl
      Requirement already up-to-date: six>=1.10.0 in c:\program files\python36\lib\site-packages (from tensorflow-gpu)
      Collecting tensorboard<1.7.0,>=1.6.0 (from tensorflow-gpu)
        Downloading tensorboard-1.6.0-py3-none-any.whl (3.0MB)
          100% |████████████████████████████████| 3.1MB 503kB/s
      Collecting protobuf>=3.4.0 (from tensorflow-gpu)
        Downloading protobuf-3.5.2.post1-cp36-cp36m-win_amd64.whl (958kB)
          100% |████████████████████████████████| 962kB 1.3MB/s
      Collecting gast>=0.2.0 (from tensorflow-gpu)
        Downloading gast-0.2.0.tar.gz
      Requirement already up-to-date: wheel>=0.26 in c:\program files\python36\lib\site-packages (from tensorflow-gpu)
      Requirement already up-to-date: html5lib==0.9999999 in c:\program files\python36\lib\site-packages (from tensorboard<1.7.0,>=1.6.0->tensorflow-gpu)
      Requirement already up-to-date: bleach==1.5.0 in c:\program files\python36\lib\site-packages (from tensorboard<1.7.0,>=1.6.0->tensorflow-gpu)
      Requirement already up-to-date: markdown>=2.6.8 in c:\program files\python36\lib\site-packages (from tensorboard<1.7.0,>=1.6.0->tensorflow-gpu)
      Requirement already up-to-date: werkzeug>=0.11.10 in c:\program files\python36\lib\site-packages (from tensorboard<1.7.0,>=1.6.0->tensorflow-gpu)
      Collecting setuptools (from protobuf>=3.4.0->tensorflow-gpu)
        Downloading setuptools-39.0.1-py2.py3-none-any.whl (569kB)
          100% |████████████████████████████████| 573kB 2.3MB/s
      Building wheels for collected packages: termcolor, absl-py, gast
        Running setup.py bdist_wheel for termcolor ... done
        Stored in directory: C:\Users\philip.feldman\AppData\Local\pip\Cache\wheels\de\f7\bf\1bcac7bf30549e6a4957382e2ecab04c88e513117207067b03
        Running setup.py bdist_wheel for absl-py ... done
        Stored in directory: C:\Users\philip.feldman\AppData\Local\pip\Cache\wheels\3c\0f\0a\6c94612a8c26070755559045612ca3645fea91c11f2148363e
        Running setup.py bdist_wheel for gast ... done
        Stored in directory: C:\Users\philip.feldman\AppData\Local\pip\Cache\wheels\8e\fa\d6\77dd17d18ea23fd7b860e02623d27c1be451521af40dd4a13e
      Successfully built termcolor absl-py gast
      Installing collected packages: termcolor, absl-py, setuptools, protobuf, grpcio, numpy, astor, tensorboard, gast, tensorflow-gpu
        Found existing installation: setuptools 38.4.0
          Uninstalling setuptools-38.4.0:
            Successfully uninstalled setuptools-38.4.0
        Found existing installation: protobuf 3.5.1
          Uninstalling protobuf-3.5.1:
            Successfully uninstalled protobuf-3.5.1
        Found existing installation: numpy 1.13.0+mkl
          Uninstalling numpy-1.13.0+mkl:
            Successfully uninstalled numpy-1.13.0+mkl
        Found existing installation: tensorflow-gpu 1.4.0
          Uninstalling tensorflow-gpu-1.4.0:
            Successfully uninstalled tensorflow-gpu-1.4.0
      Successfully installed absl-py-0.1.11 astor-0.6.2 gast-0.2.0 grpcio-1.10.0 numpy-1.14.2 protobuf-3.5.2.post1 setuptools-39.0.1 tensorboard-1.6.0 tensorflow-gpu-1.6.0 termcolor-1.1.0
    • That caused the following items to break when I tried running “fully_connected.py”
      "C:\Program Files\Python36\python.exe" D:/Development/Sandboxes/TensorflowPlayground/HelloPackage/fully_connected_feed.py
      Traceback (most recent call last):
        File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\platform\self_check.py", line 75, in preload_check
          ctypes.WinDLL(build_info.cudart_dll_name)
        File "C:\Program Files\Python36\lib\ctypes\__init__.py", line 348, in __init__
          self._handle = _dlopen(self._name, mode)
      OSError: [WinError 126] The specified module could not be found
      
      During handling of the above exception, another exception occurred:
      
      Traceback (most recent call last):
        File "D:/Development/Sandboxes/TensorflowPlayground/HelloPackage/fully_connected_feed.py", line 28, in 
          import tensorflow as tf
        File "C:\Program Files\Python36\lib\site-packages\tensorflow\__init__.py", line 24, in 
          from tensorflow.python import *
        File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\__init__.py", line 49, in 
          from tensorflow.python import pywrap_tensorflow
        File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 30, in 
          self_check.preload_check()
        File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\platform\self_check.py", line 82, in preload_check
          % (build_info.cudart_dll_name, build_info.cuda_version_number))
      ImportError: Could not find 'cudart64_90.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Download and install CUDA 9.0 from this URL: https://developer.nvidia.com/cuda-toolkit
    • Installing Visual Studio for the DLLs before I install the Cuda parts
    • Downloading cuda_9.0.176_win10.exe from here There are also two patches
    • Next set of errors
      Traceback (most recent call last):
        File "D:/Development/Sandboxes/TensorflowPlayground/HelloPackage/fully_connected_feed.py", line 28, in 
          import tensorflow as tf
        File "C:\Program Files\Python36\lib\site-packages\tensorflow\__init__.py", line 24, in 
          from tensorflow.python import *
        File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\__init__.py", line 49, in 
          from tensorflow.python import pywrap_tensorflow
        File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 30, in 
          self_check.preload_check()
        File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\platform\self_check.py", line 97, in preload_check
          % (build_info.cudnn_dll_name, build_info.cudnn_version_number))
      ImportError: Could not find 'cudnn64_7.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Note that installing cuDNN is a separate step from installing CUDA, and this DLL is often found in a different directory from the CUDA DLLs. You may install the necessary DLL by downloading cuDNN 7 from this URL: https://developer.nvidia.com/cudnn
      
  • Looking for cudnn64_7.dll here?
  • Aaaand that seems to be working!
  • Tweaked ONR proposal with Aaron. Discovered that there is one page per PI, so we need to make one-page resumes.

 

 

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