The Problems Created by the APA

  Mark R. Rowe

8/17/14

     What is wrong with the American Psychiatric Association?  Why do the people that sit on the board of directors and attempt to make psychiatry larger than it it?  Psychiatry is such a large entity that it is equivalent to the size of some smaller religions of the world.

      Do we need to drug our children on a wide scale basis, as this is promoted in American media in the form of television, radio, and internet advertisements attempting to sell drugs.

      Recently I saw a public awareness advertisement on the side of a city bus that read:  "1 in 4 people suffer from a mental illness."  Is the APA really that dumb to assume that if they were to post "awareness" statements like this, people would believe that 25 per cent of all people have some type of mental illness?  I am sorry but people smart and not stupid.  See, the problem here, is that, psychiatrists during the 1940's finally had a chemical substance that could create a profound psychological effect on the human mind.  This chemical substance is a drug known to many by its acronym, LSD or D-Lysergic Acid.  LSD was discovered by Alexander Hofmann, a scientist working in Switzerland in 1943.

     Before the year 1943, psychiatrists were physicians that were not respected in the general field of medicine.  Psychiatry was merely a trial and error pseudo scientific discipline of medicine during the years before 1943.

      Psychiatrists could now synthesize real symptoms of schizophrenia and of other psychotic mental disorders with the prescription and administering of LSD to psychiatric patients.  These mimicked schizophrenic symptoms were believed to reduce the sum total of the quantity of hallucinations caused by Schizophrenia, and that LSD could regulate or attempt to regulate when hallucinations triggered by schizophrenia, (not by LSD) would occur for the psychiatric patient, thus giving psychiatrists and psychotherapists a ballpark time frame to use therapeutic measures to treat the patient.

     When psychiatrists first began administering LSD to psychiatric patients, psychiatrists had a low success rate for the reduction of psychotic symptoms, but as new drug research progressed and with government run behavior modification programs such as, MK-Ultra and the Phoenix Program, psychiatry began to establish itself as a more credible discipline of medicine. 

It,will,be,the,psychiatrists,and,psychologists,working,in,the,field,of,behavioral,science,that,will,be,on,the,short,end,of,the,stick,jobless,poor,and,will,be,possibly,faced,with,poverty,and,homelessness

     In the not so distant future there will be at time when the people attempting to control the behavior of the masses by the 64 billion dollar a year psychiatric drug industry will be faced with the reality that they do not have this drug control over the people in the world, and will be faced with the only option to abandon their professions that were falsely established, and confess the truths about their plans, prior actions, and agendas of wide scale mass behavior modification that spread like an evil cancer throughout the majority of the western world during the last 60 years.  These people will have to answer to the victims of drugging on behalf of psychiatrists.  It will be the psychiatrists and psychologists working in the field of behavioral science that will be on the short end of the stick, jobless, poor and will be possibly faced with poverty and homelessness, once the psychiatrists and psychologists give an answer to the victims drugged, conditioned, brainwashed in to believing a lie, and have been subjected to the big picture behavior modification plans by the elite, who will de facto, not be the elites, or a group of people who have any level of power and influence over anyone after these people have answered the call made by the victims of their false science practiced by them.

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The discipline was named by Christopher Langton, an American computer scientist, in 1986. There are three main kinds of Alife, named for their approaches: soft, from software; hard, from hardware; and wet, from biochemistry. Artificial life imitates traditional biology by trying to recreate some aspects of biological phenomena. The term "artificial intelligence" is often used to specifically refer to soft alife.

Artificial life (often abbreviated ALife or A-Life) is a field of study and an associated art form which examine systems related to life, its processes, and its evolution, through the use of simulations with computer models, robotics, and biochemistry.  The discipline was named by Christopher Langton, an American computer scientist, in 1986.  There are three main kinds of Alife, named for their approaches: soft, from software; hard, from hardware; and wet, from biochemistry. Artificial life imitates traditional biology by trying to recreate some aspects of biological phenomena.  The term "artificial intelligence" is often used to specifically refer to soft alife.

Artificial life studies the logic of living systems in artificial environments in order to gain a deeper understanding of the complex information processing that defines such systems.

Also sometimes included in the umbrella term "artificial life" are agent based systems which are used to study the emergent properties of societies of agents.

While life is, by definition, alive, artificial life is generally referred to as being confined to a digital environment and existence.

The modeling philosophy of alife strongly differs from traditional modeling by studying not only “life-as-we-know-it” but also “life-as-it-might-be”.

A traditional model of a biological system will focus on capturing its most important parameters. In contrast, an alife modeling approach will generally seek to decipher the most simple and general principles underlying life and implement them in a simulation. The simulation then offers the possibility to analyse new and different lifelike systems.

Vladimir Georgievich Red'ko proposed to generalize this distinction to the modeling of any process, leading to the more general distinction of "processes-as-we-know-them" and "processes-as-they-could-be"

At present, the commonly accepted definition of life does not consider any current alife simulations or software to be alive, and they do not constitute part of the evolutionary process of any ecosystem. However, different opinions about artificial life's potential have arisen:

The strong alife (cf. Strong AI) position states that "life is a process which can be abstracted away from any particular medium" (John von Neumann). Notably, Tom Ray declared that his program Tierra is not simulating life in a computer but synthesizing it.[citation needed]
The weak alife position denies the possibility of generating a "living process" outside of a chemical solution. Its researchers try instead to simulate life processes to understand the underlying mechanics of biological phenomena.

Cellular automata were used in the early days of artificial life, and are still often used for ease of scalability and parallelization. Alife and cellular automata share a closely tied history.
Neural networks are sometimes used to model the brain of an agent. Although traditionally more of an artificial intelligence technique, neural nets can be important for simulating population dynamics of organisms that can learn. The symbiosis between learning and evolution is central to theories about the development of instincts in organisms with higher neurological complexity, as in, for instance, the Baldwin effect.


Notable simulators

This is a list of artificial life/digital organism simulators, organized by the method of creature definition.


Program-based

Further information: programming game Program-based simulations contain organisms with a complex DNA language, usually Turing complete. This language is more often in the form of a computer program than actual biological DNA. Assembly derivatives are the most common languages used. An organism "lives" when its code is executed, and there are usually various methods allowing self-replication. Mutations are generally implemented as random changes to the code. Use of cellular automata is common but not required. Another example could be an artificial intelligence and multi-agent system/program.


Module-based

Individual modules are added to a creature. These modules modify the creature's behaviors and characteristics either directly, by hard coding into the simulation (leg type A increases speed and metabolism), or indirectly, through the emergent interactions between a creature's modules (leg type A moves up and down with a frequency of X, which interacts with other legs to create motion). Generally these are simulators which emphasize user creation and accessibility over mutation and evolution.


Parameter-based

Organisms are generally constructed with pre-defined and fixed behaviors that are controlled by various parameters that mutate. That is, each organism contains a collection of numbers or other finite parameters. Each parameter controls one or several aspects of an organism in a well-defined way.


Neural net–based

These simulations have creatures that learn and grow using neural nets or a close derivative. Emphasis is often, although not always, more on learning than on natural selection.

Robot Hardware-based artificial life mainly consist of robots, that is, automatically guided machines able to do tasks on their own.


Synthetic biology

Biochemical-based life is studied in the field of synthetic biology. It involves e.g. the creation of synthetic DNA. The term "wet" is an extension of the term "wetware".

Artificial intelligence has traditionally used a top down approach, while alife generally works from the bottom up.  Artificial chemistry started as a method within the Alife community to abstract the processes of chemical reactions.  Evolutionary algorithms are a practical application of the weak Alife principle applied to optimization problems. Many optimization algorithms have been crafted which borrow from or closely mirror Alife techniques. The primary difference lies in explicitly defining the fitness of an agent by its ability to solve a problem, instead of its ability to find food, reproduce, or avoid death.


The following is a list of evolutionary algorithms closely related to and used in Alife:

Ant colony optimization
Evolutionary algorithm
Genetic algorithm
Genetic programming
Swarm intelligence
Evolutionary art uses techniques and methods from artificial life to create new forms of art.
Evolutionary music uses similar techniques, but applied to music instead of visual art.
Abiogenesis and the origin of life sometimes employ alife methodologies as well.


Alife has had a controversial history. John Maynard Smith criticized certain artificial life work in 1994 as "fact-free science".  However, the recent publication of artificial life articles in widely read journals such as Science and Nature is evidence that artificial life techniques are becoming more accepted in the mainstream, at least as a method of studying evolution.



Molecules and Thoughts Y Tarnopolsky - 2003 "Artificial Life (often abbreviated as Alife or A-life) is a small universe existing parallel to the much larger Artificial Intelligence. The origins of both areas were different."

The MIT Encyclopedia of the Cognitive Sciences, The MIT Press, p.37. ISBN 978-0-262-73144-7

Mark A. Bedau (November 2003). "Artificial life: organization, adaptation and complexity from the bottom up" TRENDS in Cognitive Sciences.

Maciej Komosinski and Andrew Adamatzky (2009). Artificial Life Models in Software. New York: Springer. ISBN 978-1-84882-284-9.

Andrew Adamatzky and Maciej Komosinski (2009). Artificial Life Models in Hardware. New York: Springer. ISBN 978-1-84882-529-1.

Langton, Christopher. "What is Artificial Life?". Archived from the original on 17 January 2007.

John Johnston, (2008) "The Allure of Machinic Life: Cybernetics, Artificial Life, and the New AI", MIT Press

Langton, C. G. 1992. Artificial Life. Addison-Wesley.

Red'ko, V. G. 1999. Mathematical Modeling of Evolution. in: F. Heylighen, C. Joslyn and V. Turchin Principia Cybernetica Web (Principia Cybernetica, Brussels).

The Future of Scientific Simulations: from Artificial Life to Artificial Cosmogenesis. In Death And Anti-Death, ed. Charles Tandy, 6: Thirty Years After Kurt Gödel (1906-1978) p. 285-318. Ria University Press.)

"AI Beyond Computer Games".
Horgan, J. 1995. From Complexity to Perplexity. Scientific American. p107

"Evolution experiments with digital organisms".

Computers: Artificial Life at the open directory project

Computers: Artificial Life Framework
International Society of Artificial Life

Artificial Life MIT Press Journal

The Artificial Life Lab Envirtech Island, Second Life
aDiatomea: an artificial life experiment using highly detailed 3D-generated diatoms
















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How can we go on like this?

     It is my opinion that the field of psychiatric medicine should be completely outlawed, and that all current and future planned psychiatric drug research should be immediately halted and removed from all U.S. colleges and universities, removed from all county, state, city, and private psychiatric and general hospitals.  All psycho-pharmaceutical drug production, research, manufacturing, design, implementation, testing, quality control, chemical synthesis, human guinea pig testing and research, and all other areas of research, development, and manufacturing of the psychotropic drug industry should be given a set of laws and moral ethics determined by the U.S. Congress to immediately cease all activities that are contained within the psycho-pharmaceutical and psychiatric drug, medical and insurance industries that are currently taking place in my nation, that is the U.S.A.

and,that,all,current,and,future,planned,psychiatric,drug,research,should,be,immediately,halted,and,removed