Applied New Science LLC
Act on what matters—
—Green the built environment
Applied New Science greens the built environment.
We empower homeowners, residential tenants, building remodelers, community development
stakeholders, and ordinary citizens by providing access to all possible computations
about green technology energy efficiencies and costs, federal, state and local tax credits
and financial incentives, capitalization rates, building contractor capabilities,
and environmental performance indices.
Performance estimates (financial, environmental, or social)
for the built environment depend on both computable factors and stakeholder consensus
about the relative importance of these factors.
Wolfram￨Alpha harnesses everyman’s
computational knowledge engine.
Computations are initiated by natural language queries and the results are presented
in a well organized format.
Simple query refinements meet the needs for more specialized computational results.
New Kind of Science
(NKS) makes Wolfram￨Alpha possible in the same sense that Alan Turing
and his contemporaries’ early 20th century concept of universal computing anticipates
mainframe data processing, personal computing and most recently cloud computing.
NKS suggests that a computational knowledge engine:
Analyze language according to computations it can describe rather than attempting
to derive a mathematics like system of theorems specifying all linguistic statements
that could possibly be true.
(Because the space of theorem like systems is in some sense too big.)
Science and engineering can model only a tiny sliver of the universe of possible computations.
Alpha’s linguistic analysis is made feasible by a very powerful assumption
that its input describes only knowledge computable from these traditional models.
To an ever increasing degree automate the data modeling process.
Successful Wolfram￨Alpha users need not be aware that it is an NKS application.
Mathematica enables Wolfram￨Alpha and everyman’s green computations.
It brings key capabilities and advantages to the four major internal components of Alpha.
Data Curation Pipeline.
Concurrent with the lengthy development of version 6 and
subsequently at an accelerating pace, curated data has been seamlessly built into
Mathematica’s computational framework.
For example, version 7 systematically covers current and in many cases historical values
of tens of thousands of social, economic, and geographic facts about countries and cities;
and has financial trend data on hundreds of thousands of financial entities, including currencies,
exchanges, commodity futures, stocks, and bonds.
Algorithms and Models.
Mathematica automatically applies appropriate algorithms from its vast library
to solve equations in both symbolic and numeric form.
Improving building energy use might require the solution of equations for radiative
heat transfer, heat conduction, and natural or forced convective heat transfer.
With version 7 Mathematica comprehensively supports all standard cartographic
projections and geodetic datums.
The resulting geographic information system (GIS) functionality embeds the built
environment in the larger natural environment and provides the big picture view of
biological habitat, biodiversity, human health and aesthetics.
In addition to informing the very possibility of Alpha’s linguistic analysis,
NKS mines the computational universe for rules that enable Alpha to understand
natural language input.
Mathematica was conceived and over the subsequent decades developed
to excel at exactly this sort of computational mining.
Perhaps Mathematica’s most spectacular recent success
is in the area of automated user interfaces.
Building diagrams and financial or energy plots interactively respond
to solar time sliders, building material menus, funding source checkboxes,
and animation trigger buttons.
Christopher Haydock (President)