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As I’ve progressed through the material necessary to right a book on the processes of the universe, life, and thought, I’ve come to believe that the so called Laws of Nature are mislabeled. Instead of referring to the Laws of Nature and projecting a connotation of some dusty volumes in some basement collegiate Physics building, I’ve been thinking about these dynamic interrelations of information, matter, energy (dark and light), space, time, entropy, and mathematics as algorithms.
Algorithms are recipes. These multistep processes manipulate subprocesses or routines like iteration, loops, and logic to effect change, calculate, and create. Algorithms have basic libraries of functions and at a universal-level we know these as time or fields or symmetry or equilibrium. These fundamental functions are in most of the Algorithms of Nature and like much of the physical world, the better we understand the fundamentals and their interactions, the better we understand the entire system.
The universe can process these recipes due to its nature of being a compilation itself, a holographic process (that I call the SuperSystem but that has been called the Tao) that projects information from the surface of the universe into the bulk, our 3D world. The processing of information, matter, and energy appear to us inside the SuperSystem as algorithms different from the fundamental makeup of the universe; however, taking a Process-Relational Ontology what we are actually seeing is a lower-level or component-based replication of processes that are the preeminent on the macro, universal, and multiversal levels as well. By analogy, the water and flow in a sunken swimming pool being the same as the flooding sea.

The Intelligence of Algorithms

Algorithms take initial and boundary conditions along with inputs and compile the process to some state change. A simple system makes modifications to just the elements in the system itself, the inputs and the environment. In an intelligent system — both the inputs and the algorithm itself are modified.  Human-initiated intelligent systems — also mislabeled as Artificial Intelligence — are the holy grail for computer scientists and represent our ability invent algorithms that reinvent themselves.
Most computer algorithms that do a good job of modeling a process in nature have well understood boundary conditions and clever methods for interjecting hysteresis — noise or mutation — into the process without actually learning or changing the process itself. The bacterial growth models are good examples of how computer scientists have developed an algorithm that  can be used in place of the system under study, to study its behaviors.
colony of bacteria progressing along an algorithm of nature
Computers have limited landscapes for detailing complex algorithms. All conditions are modeled inside the computer architecture. 4-D printing nano-machines that have the ability to create needed shapes to adjust to conditions in their environment offer computer scientists means to investigate higher-level algorithm design and intelligence in the real world. Cognitive computing moves computer-based algorithms from the typical-von Neumann processing logic to one that more closely approximates the contextual and qualitative algorithms of the human brain.
IBM SyNAPSE Infographic

Algorithms of Nature: Processes and Relationships

The Algorithms of Nature have given up some of their secrets. We understand a lot of their correlations and predictive computation, especially in the physical world. Physics has utilized mathematics to detail the interactions of particles and fields, chemistry has utilized these interactions to understand kinetics and bonding, and medicine and engineering have simplified these specifics into practical applications. Relativity, quantum field theory, thermodynamics, fluid mechanics, and electromagnetism (among others) are all well-detailed algorithms used to great practical and theoretical effect.
A few of the intelligent algorithms like Relativity or Evolution or Transcendence seem ingrained at numerous levels in the universe. These multi-use algorithms give us an indication of how the overall SuperSystem of Processes, the process-of-processes operates.
Evolution AlgorithmEvolution utilizes chance, a chaotic process of traits being tried like a Swiss Army knife against the problems of environmental or competitive change. Relativity turns what appears absolute (position and time) into dynamism, correlates geometry to gravity to acceleration, and adds dimensions of causality to the fabric of the universe. Transcendence processes the annihilation of thesis and antithesis, plys its trade in virtual particles and entangle pairs, and there are some theories that even suggest that dark energy is the effect of our universe’s transcendent addition of a 4th spacial dimension.  Transcendent processes working at the multiverse level creates spores of inflation that possibly create the other universes in the Bulk of the Multiverse.
Evolution is the prototypical algorithm. Eventually even the most devastating problem can be overcome with change, chance, and lots of time. The properties and individuals that exist before and after the epoch can look almost completely different, the raw materials forced through a differentiating event. Like an integrated memory and processor unit on a computer’s motherboard, DNA saves the information of change and drives the motivation to the survivorship.
Relativity and transcendence are algorithms of a contrary nature, utilizing the absolute and nothingness to progress and learn. Relativity draws distinctions between natural components and the consequences of our position, velocity, and local geometry of spacetime. Light’s speed is absolute but time and position are relative, it can appear that forces act upon us when really all is an acceleration caused by sloped spacetime. Transcendence, the unity or oneness with one of nature’s algorithms is an optimal flow. Transcendence reports something closer to timelessness in our experience of it and the clarity of becoming more in touch with nothingness and — correspondingly — limitlessness. Even in brain scans, meditative flow is not indicated by greater activity, but sharply lesser activity.
Processes can be anentropic, flowing either turbulently with respect to time, or utterly acausally relating more to the nothingness of their framework than the beingness they manipulate in our causal, entropic time. The SuperSystem is a timeless vessel, capable of producing an array of experience or an empty set. The SuperSystem is an acausal process framework, a vessel, the Tao, the final dialect between the nothingness that contain the computation and the algorithms that are responsible for causality, transcendence, evolution, and relativity.  The SuperSystem is the top level of process that existed before anything and the container for the function of quantum fluctuation that we calculate to be the first cause.
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The way that can be spoken of

Is not the constant way;

The name that can be named

Is not the constant name.

The nameless was the beginning of heaven and earth;

The named was the mother of the myriad creatures.

Hence always rid yourself of desires in order to observe its secrets;

But always allow yourself to have desires in order to observe its manifestations.

These two are the same

But diverge in name as they issue forth.

Being the same they are called mysteries,

Mystery upon mystery –

The gateway of the manifold secrets.