5:00 Meeting with Naveen

I looked into the Association of Computational Linguistics as a possible venue for the chess paper. Aside from being a bit shorter (8 pages), the difference between the ACL papers that I looked at and an mine seems to be mostly the amount of explicit math in the description of the algorithm. Here are some examples from 2020 that I think are in roughly the same area:

• https://www.aclweb.org/anthology/2020.acl-main.17.pdf
• https://www.aclweb.org/anthology/2020.acl-main.32.pdf
• I think this one could be particularly relevant: https://www.aclweb.org/anthology/2020.acl-main.59.pdf
• As well as this one: https://www.aclweb.org/anthology/2020.acl-main.685.pdf. Interestingly, the lead author on this paper is from the University of Trento (Angeliki Lazaridou)

Adjusting the citations to include some ACL papers (like the last one should be straightforward). The page count will have to be evaluated once the template is made public. Here’s the 2020 template: http://aacl2020.org/calls/papers/#paper-submission-and-templates

MORS

• An amygdala hijack refers to a personal, emotional response that is immediate, overwhelming, and out of measure with the actual stimulus because it has triggered a much more significant emotional threat.[1] The term was coined by Daniel Goleman in his 1996 book Emotional Intelligence: Why It Can Matter More Than IQ
• Dr. Kathleen M. Carley (Google Scholar)
  • Center for Computational Analysis of Social and Organizational Systems (CASOS)
    • AutoMap – how to extract networks from documents.
    • BioWar – city level agent-based model for disease spread.
    • Construct – how to reason about diffusion on networks and change in networks.
    • DyNetML – how to represent high dimensional networks, multi-mode networks, multi-level networks, dynamic and geospatial networks.
    • ORA-LITE – how to analyze and visualize networks.
    • OrgAhead – how to reason about organizational performance given the underlying networks.
    • Computational Models and Social Network Tools
    • Welcome to the CASOS data page. On this page you can find a wide variety of data for use with our software. This data includes social networks, communication networks, semantic networks, dynamic networks and geo-spatial networks.
    • Visualization of Belief Networks (VIBES) (what is this, exactly?)
• ORA Pro – Netanomics: $720
• Netmapper: $1k

GOES

• 3:00 Meeting with Vadim