Further advantages of this platform
No programming required
Data transformations are handled automatically by the knowledge base (see below) and inference & evaluation are done by the Bayesian framework (see below).
Avoid errors
The automatic data transformation, model inference and result calculation reduces the possibility of human errors in these steps
Publish data with one click
Tree of Knowledge has at its core an extremely powerful knowledge base (see below) which manages all data and related meta data.
This Knowledge base not only allows the inference framework to automatically retrieve the right information. It also allows the data and meta data to be published in an extremely easily findable and retrievable manner.
This Knowledge base not only allows the inference framework to automatically retrieve the right information. It also allows the data and meta data to be published in an extremely easily findable and retrievable manner.
Fast
Create a model in seconds - by clicking together pre-trained agents.
Fun
Not only are the simulation models intuitive and visually appealing, working with them can also be as fun as playing an economic simulation game.
Easy predictions
With a few clicks you can bring different actors/agents into the right configuration and model the scenario you're interested in.
Easy communication of results
Due to their intuitive and visual nature, the simulation models can also be easily communicated.
Publish data with one click
Tree of Knowledge has at its core an extremely powerful knowledge base (see below) which manages all data and related meta data.
This Knowledge base not only allows the inference framework to automatically retrieve the right information. It also allows the data and meta data to be published in an extremely easily findable and retrievable manner.
This Knowledge base not only allows the inference framework to automatically retrieve the right information. It also allows the data and meta data to be published in an extremely easily findable and retrievable manner.
Punish analyses with one click
Pubish your models and analyses with one click.
Online Platform
As it's an online platform, it needs no installation and can be used from any device.
Universal
Due to being tested in such diverse range of scenarios, the fundamental theories are proven to be truly generalisable/universally applicable.
Accurate and Reliable
Due to being trained on such a large and diverse collection of datasets, the fundamental theories are vastly more proven, reliable and accurate.
Free from bias
Nearly every single dataset is subject to some sort of bias (e.g. selection bias, subject bias, etc.). When training on many datasets, these biases however cancel out.
Powerful model selection
“Most models will fit to a single dataset, but only the truly correct model will fit all datasets” – By evaluating models on hundreds of datasets, we get a truly reliable measure of their accuracy.
Powerful Predictions
Unlike other models, the fundamental theories allow us to accurately model and predict absolutely any social system.
Counterfactual analysis and system optimisation
With these theories we can model any social system. This allows us to investigate how well slightly modified systems would perform and ultimately, allows us to find the system configuration that works best.
Data Quality
Automatic data quality checking by the knowledge base
Cancelling out noise
Noise in datasets comes from un-accounted-for effects in the observed system. As the theories in tree of knowledge already include many pre-trained effects, many of the previously un-accounted-for effects are now automatically included in the model, which significantly reduces the noise.
Studying hidden effects
The internal mechanisms of complex systems are often not directly observable. The pre-trained effects in tree of knowledge make it possible to strip away most the surrounding effects and thereby revealing the hidden one.
Observational datasets
The largest openly available datasets are observational datasets. Up until now most of them couldn't be used for research, because the interesting phenomena are only indirectly observed. The above-mentioned ability to extract hidden/indirectly observed effects can however help out.
Mechanistic inference
Causal inference is a growing area of interest, because the inferred casual relationships teach us more about the world than simple corporations. Tree of knowledge goes further still - with mechanistic inference we can even infer from data the exact mechanism governing a system.
Understandable rules
Frequentist statistics require rules/models be a generalized linear model. The Bayesian framework underlying this platform however allows any rule including non-continuous ones (e.g. with if-then conditions).
Test concrete hypotheses
Being able to specify any rule, allows us to encode and evaluate any mental model we may have.
Understandable parameters
If we encode mental models as rules, instead of blindly fitting a linear model to everything, the model parameters will have a real-world meaning and training then will teach us a lot about the world.
Detailed mechanics
By watching simulations you can understand how the individual interactions drive the dynamics of a system. It also allows you to spot important features, such as inefficiencies, bottlenecks and transitions.
Predictions with exactly understood uncertainty
When simulating a system, the uncertainty of the rules is accurately propagated through the simulation and is reflected as easy-to-understand probability distribution of simulation outcomes.
Standardization of measures
There are many ways to measure things such as ‘someone's happiness’. Tree of knowledge provides a big incentive to use the same measure as other people do, because not doing so will introduce a lot of uncertainty to your results - see "Mapping measures".
Integrating disciplines
On this platform researchers from across the human sciences (psychology, economics, political science, sociology, behavioral science etc) can collaborate to create a powerful shared theory.
Easier collaboration
Being an online platform, you can easily share your data, models and analyses in colleagues, allowing them to see what exactly you're working on or even join in.
Immediate adoption
If you find a better model for some phenomenon, this better model will automatically be integrated into the default theory in tree of knowledge and will be immediately used by the majority of researchers using this platform.
Resolving long standing disagreements
Showing that a model performs better than another on hundreds of different datasets is the only objective way of showing that the model is indeed better. We are convinced that many long standing disagreements/schools of thought can be resolved this way.
Mapping measures
There are many ways to measure things such as ‘someone's happiness’. When researchers use different measures for the same thing, then this research can only be integrated/combined if there is a way to map from one measure to the other. Tree of Knowledge has many such mapping functions predefined.
Due to these many advantages, we believe Fundamental Theory Building to be
not only the theoretically optimal approach for learning the behavior of complex systems (such as humans), but also superior in practice.
The Technologies that make it possible
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Revolutionize Social Sciences