Why Every Real Estate Agent Needs a CRM: Transforming Client Management

Agent架构

for - AI evolution - prediction - 2027 - AI agent will replace AI chatbot

Agent = process

• for: quote, quote - Michael Levin, quote - self as control agent, self - control agent, example, example - control agent - imperfection, spontaneous thought, spontaneous action, creativity - spontaneity

• quote: Michael Levin

  • the Bodhisattva vow can be seen as a method for control that is in alignment with, and informed by, the understanding that singular and enduring control agents do not actually exist.

• comment

  • adjacency between
    • nondual awareness
    • self-construct
    • self is illusion
    • singular, solid, enduring control agent
  • adjacency statement
    • nondual awareness is the deep insight that there is no solid, singular, enduring control agent.
    • creativity is unpredictable and spontaneous and would not be possible if there were perfect control
• example - control agent - imperfection: start - the unpredictability of the realtime emergence of our next exact thought or action is a good example of this

• example - control agent - imperfection: end

• triggered insight: not only are thoughts and actions random, but dreams as well

  • I dreamt the night after this about something related to this paper (cannot remember what it is now!)
  • Obviously, I had no clue the idea in this paper would end up exactly as it did in next night's dream!

• for: deconstructing self, self - deconstruction, object agent action triplet, deconstructing cognition
• comment
  • this is a necessary outcome of the self-reflective nature of human cognition.
  • English, and many other languages bake the (object, agent, action) triplet into its very structure, making it problematic to use language in the same way after the foundations of cognition have been so deconstructed.
  • Even though strictly speaking the self can be better interpreted as a psycho-social construct and an epiphenomena, it is still very compelling and practical in day-to-day living, including the use of languages which structurally embed the (object, agent, action) triplet.

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation

```js // Log the full user-agent data navigator .userAgentData.getHighEntropyValues( ["architecture", "model", "bitness", "platformVersion", "fullVersionList"]) .then(ua => { console.log(ua) });

// output { "architecture":"x86", "bitness":"64", "brands":[ { "brand":" Not A;Brand", "version":"99" }, { "brand":"Chromium", "version":"98" }, { "brand":"Google Chrome", "version":"98" } ], "fullVersionList":[ { "brand":" Not A;Brand", "version":"99.0.0.0" }, { "brand":"Chromium", "version":"98.0.4738.0" }, { "brand":"Google Chrome", "version":"98.0.4738.0" } ], "mobile":false, "model":"", "platformVersion":"12.0.1" } ```

```idl dictionary NavigatorUABrandVersion { DOMString brand; DOMString version; };

dictionary UADataValues { DOMString architecture; DOMString bitness; sequence<NavigatorUABrandVersion> brands; DOMString formFactor; sequence<NavigatorUABrandVersion> fullVersionList; DOMString model; boolean mobile; DOMString platform; DOMString platformVersion; DOMString uaFullVersion; // deprecated in favor of fullVersionList boolean wow64; };

dictionary UALowEntropyJSON { sequence<NavigatorUABrandVersion> brands; boolean mobile; DOMString platform; };

[Exposed=(Window,Worker)] interface NavigatorUAData { readonly attribute FrozenArray<NavigatorUABrandVersion> brands; readonly attribute boolean mobile; readonly attribute DOMString platform; Promise<UADataValues> getHighEntropyValues (sequence<DOMString> hints ); UALowEntropyJSON toJSON (); };

interface mixin NavigatorUA { [SecureContext] readonly attribute NavigatorUAData userAgentData ; };

Navigator includes NavigatorUA; WorkerNavigator includes NavigatorUA; ```

{Single Agent}

Agent Based Modeling

// Insight Maker is used to model system dynamics and create agent based models by creating causal loop diagrams and allowing users to run simulations on those

[Neumann, Gros, NeurIPS, 2022] - "SCALING LAWS FOR A MULTI-AGENT REINFORCEMENT LEARNING MODEL"

Page recommended by @wfinck. Seems @karlicoss is the author. This project seems similar to what I've been trying to do with Hypothes.is, Obsidian, Anki, Zotero, and PowerToys Run but goes beyond the scope of my endeavors to just quickly access whatever resource comes to mind (without creating duplicates). The things that Promnesia adds beyond my PKM stack is the following: - prioritize new info - keeping track of which device things were read and how long

!- for : difference between oral and written tradition - writing is an external memory, much larger than the small one humans are endowed with. Hence, it allowed for orders of magnitude more reasoning.

This appears to be setting up the conditions for an artificial cognitive agent to be able to play a role (ie Artificial Intelligence)

I've spent a lot of time in frustrated conversations arguing the case for browser extensions being treated as a first class concern by browser makers (well, one browser maker). But more and more, I've come to settle on the conclusion that any browser extension of the sort that Wildcard is should also come with the option of using it (or possibly a stripped down version) as a bookmarklet, or a separate tool that can process offline data—no special permissions needed.

(This isn't because I was wrong about browser extensions; it's precisely because extension APIs were drastically limited that this becomes a rational approach.)

Krueger, P., Callaway, F., Gul, S., Griffiths, T., & Lieder, F. (2022). Discovering Rational Heuristics for Risky Choice. PsyArXiv. https://doi.org/10.31234/osf.io/mg7dn

Karimi, Fariba, and Petter Holme. ‘A Temporal Network Version of Watts’s Cascade Model’. ArXiv:2103.13604 [Physics], 25 March 2021. http://arxiv.org/abs/2103.13604.

Gupta, Prateek, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, et al. ‘COVI-AgentSim: An Agent-Based Model for Evaluating Methods of Digital Contact Tracing’. ArXiv:2010.16004 [Cs], 29 October 2020. http://arxiv.org/abs/2010.16004.

This is a useful little tip.

Gordon, D. E., Hiatt, J., Bouhaddou, M., Rezelj, V. V., Ulferts, S., Braberg, H., Jureka, A. S., Obernier, K., Guo, J. Z., Batra, J., Kaake, R. M., Weckstein, A. R., Owens, T. W., Gupta, M., Pourmal, S., Titus, E. W., Cakir, M., Soucheray, M., McGregor, M., … Krogan, N. J. (2020). Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms. Science, 370(6521). https://doi.org/10.1126/science.abe9403

Smaldino, Paul E., and Cailin O’Connor. ‘Interdisciplinarity Can Aid the Spread of Better Methods Between Scientific Communities’. MetaArXiv, 5 November 2020. https://doi.org/10.31222/osf.io/cm5v3.

Gleeson, J. P., Onaga, T., Fennell, P., Cotter, J., Burke, R., & O’Sullivan, D. J. P. (2020). Branching process descriptions of information cascades on Twitter. ArXiv:2007.08916 [Physics]. http://arxiv.org/abs/2007.08916

Sturniolo, S., Waites, W., Colbourn, T., Manheim, D., & Panovska-Griffiths, J. (2020). Testing, tracing and isolation in compartmental models. MedRxiv, 2020.05.14.20101808. https://doi.org/10.1101/2020.05.14.20101808

Marshall, B. D. L., & Galea, S. (2015). Formalizing the Role of Agent-Based Modeling in Causal Inference and Epidemiology. American Journal of Epidemiology, 181(2), 92–99. https://doi.org/10.1093/aje/kwu274

An agent tracking developments in human-specified, or agent-sensed, topics. Like a watchlist, google search, etc, It would need to be able to do topic mapping and merging.

RE: "Nature itself" having a history

Nathaniel's in-class comments last week were very helpful to hear prior to the readings this week. It is particularly helpful to consider the paradox that some folks want to protect the Earth from humans and somehow return it to a point "before humans," as though the Earth exists outside of humans and we are pure agents acting upon it. (Which is where we get things like this video that has been going around Facebook because of Earth Day:) https://www.youtube.com/watch?v=49w7GHVYoI0

This video pretends the Earth is an agent, but it actually only reflecting human actions back on humans. There is an underlying argument that our relationship to the planet is only the things we do to it and not all the other relationships and existences on and in it.