The first time I combined the ideas I had been developing into a single entity, I was working on an IBM 1130, a "third-generation" computer. The result seemed so powerful that I considered it a "fourth generation computer language." I would have called it Fourth, except that the 1130 permitted only five-character identifiers. So Fourth became Forth, a nicer play on words anyway.
The first program to be called Forth was written in about 1970. The first complete implementation was used in 1971 on a DEC PDP-11 for the National Radio Astronomy Observatory's 11-meter radio telescope in Arizona. This system was responsible for pointing and tracking the telescope, collecting data and recording it on magnetic tape, supporting an interactive graphics terminal on which an astronomer could analyse previously recorded data. The multi-tasking nature of the system allowed all these function to be performed concurrently, without timing conflicts or other interference.
The system was so useful that astronomers from all over the world began asking for copies. Its use spread rapidly and in 1976 Forth was adopted as a standard language by the International Astronomical Union.
The success of this application enabled Moore and Elizabeth ("Bess") Rather in 1973 to form "FORTH, Inc.", to explore commercial uses of the language. FORTH, Inc., developed multi-user versions of Forth on minicomputers for diverse projects ranging from data-bases to scientific applications such as image processing. Like the first application these often required a mixture of various facilities.
A version was developed, in 1977, for the newly-introduced 8 Bit microprocessors called "microFORTH". This was complemented by their "miniFORTH" product for minicomputers. Later (in 1979) these systems where replaced by the "PolyForth" product. This has since become one of the largest selling Forth system on the market.
"microFORTH" was successfully used in embedded microprocessor application in the United States, Europe, and Japan. The success of microFORTH lead to the formation of the European Forth Users Group (EFUG), later, in 1978, a group of computer hobbyists in Northern California formed the Forth Interest Group (FIG).
The members of FIG obtained a Forth system from an observatory.
From this they developed a simple model which they implemented on several
systems and (with permission from FORTH, Inc.) published listings and disks
at very low cost. This model later became known as the FIG-Forth
model. This action helping the rapid spread of interest in Forth. FIG now has 60 "chapters" in 15 countries.
Forth is an interactive programming environment originally designed for
programmers developing applications using mini- and micro-computers. Its
primary uses have been in scientific and industrial application such as
instrumentation, robotics, process control, graphics and image processing,
artificial intelligence and business applications. The principal advantage
of Forth include rapid, interactive software development and efficient use
of computer hardware.
Forth is often spoken of as a language because that is its most visible aspect. However, Forth is more than a conventional programming language in that all the capabilities normally associated with a large portfolio of separate programs (compilers, editors, assemblers, etc.) are included within its range. It is also less than a conventional programming language in its deliberate lack of complex syntax characteristic of most high-level languages.
The original implementations of Forth were stand-alone systems that included functions normally performed by separate operating systems, editors, compilers, assemblers, debuggers and other utilities. A single, simple, consistent set of rules governed this range of capabilities. Today, although very fast stand-alone version are sill marketed for many processors, there are also many versions that run co-resident with conventional operating systems, such as MS-DOS and Unix.
Forth was not derived from another other language. As a result, its appearance and internal characteristics may seem unfamiliar to new users. But Forth's simplicity, extreme modularity, and interactive nature offset the initial strangeness, making it easy to learn and use. A new Forth programmer must invest some time mastering its large command repertoire. After a month or so of full-time use, the programmer could understand more of its internal working than is possible with conventions operating systems and compilers.
The most unconventional feature of Forth is its extensibility. The programming process in Forth consists of defining new words, actually new commands in the language. These may be defined in terms of previously defined words, much as one teaches a child concepts by explaining them in terms of previously understood concepts. Such words are called "high level definitions." Alternatively, new words may also be defined in assembly code, since most Forth implementations include an assembler for the host processor.
As a result of this extensibility, developing an application has the collateral result of developing a special "application-oriented language" for that type of application which may be applied to a similar application or used to modify this one.
Forth's extensibility goes beyond just adding new commands to the language.
With equivalent ease, one can also add new classes of words. That is, one
may create a word which itself will define words. In creating such a
defining word the programmer may specify a specialised behaviour for the
words it will create which will be effective at compile time, at run-time,
or both. This capability allows one to define specialised data types, with
complete control over both structure and behaviour. Since the run-time
behaviour of such words may be defined either in high-level or in assembler,
the words created by this new defining word are equivalent to all other
kinds of Forth words in performance. The system will also allow one to
add new "compiler directives" to implement special kinds of loops or
other control structures, such as a
Forth is an English-like language whose elements are named data items,
procedures, and defining words capable of creating data items with
customised characteristics. Procedures and defining words may be defined
in terms of previously defined words or in assembler code.
Forth words are similar to subroutines in other languages. They are also equivalent to commands in other languages. Forth allows one to type a function name at the keyboard, the function will then be executed. However, placing the function name in a definition will cause a reference to the function to be compiled.
High-level words are defined as a collection of other words. This can be thought of as a macro in other languages or as an English definition as given in a dictionary. The new word is then added to the store of words that can be used. Its definition is added to the dictionary of words. There are few characters that cannot be included in a word's name. Many programming groups adopt naming conventions, using punctuation characters, to improve readability.
When a word is encountered, the dictionary is searched to discover the word's definition. The function associated with the word is ether executed, or a reference is compiled into a new definition. If, however, the word can not be found in the dictionary, the system will attempt to convert the word into a number. If it succeeds the number is placed onto a parameter stack. If it fails to convert the word into a number it will display the word and an error message, indicating that the word is unknown to the system.
Forth adheres to the principles of "structured programming":
Forth is characterised by five major elements:
Words are added to the dictionary by "defining words", the most common of
: (colon). When
: is executed, it constructs a
dictionary entry for the word that follows it and enters into
"compilation" mode. There are many different compilation methods, the
most common of which is "Threaded Code", where the definition consists of
a list of addresses referencing previously defined words. The definition
is terminated by
; (semicolon). Figure 1 shows the
dictionary entry for the definition:
: NETWORK ( -- ) OPEN LINK TRXT. ECHO CLOSE LINK ;
NETWORK"). Finally a pointer to a routine called "
(:)" is compiled into the dictionary as the first part of the definition. This is a pointer to some code that will perform the action necessary to interpret the body of the definition. This is not the only compilation technique, but it is the most popular. This technique is known as Indirect threaded code as the first entry in the definition is a reference to some code that knows how to interpret the rest of the definition.
The remainder of the definition is referred to as its body.
In compilation mode the system will search for the head of each of the
words in turn. The address of the head is placed into the body of the
definition, thus producing a list of addresses. Finally, when the
is reached, the address of a routine called "
EXIT" is compiled
into the definition. The
EXIT routine is designed to return control
to the invoking word, thus acting as a subroutine return.
Although the structure of both stacks is the same, they have very different uses. The user/programmer interacts most directly with the data stack, which holds the arguments being passed between words. This replaces parameter lists used by conventional languages. It is an efficient internal mechanism which makes definitions intrinsically re-entrant. The second stack is known as the return stack and is used to hold return addresses for nested definitions, although other kinds of data are occasionally held there temporarily.
The use of the Data Stack (often called just "the stack") leads to a notation in which operands precede operators. This is a postfix notation often called RPN or "Reverse Polish Notation". The notation is based on the "Sentential Calculus" as developed by Professor Jan Lukasiewicz in the 1920s whilst working at Warsaw University (Lukasiewicz, 1963).
For an example let us take the word
BLANK. This expects an address
and count on the stack, placing the specified number of ASCII blanks
into the region of memory starting at the given address. Thus:
PAD 25 BLANK
25blanks. Application word are usually defined to work similarly. For example,
+adds the top two number on the stack, replacing them both by their sum. Since the results of operations are left on the stack, operations may be strung together without the need to define temporary storage variables. For example, the expression:
tempn + ((reading mod interval) / interval) * (tempn+1 - tempn)becomes:
reading interval mod interval / tempn+1 tempn - * tempn +
The first is the text interpreter, which passes strings from the terminal (or mass storage) and looks each word up in the dictionary. When a word is found it is executed by invoking the second level, the address interpreter.
The second level is the "address interpreter." Although not all Forth
systems are implemented in this way it was the first and is still the
primary implementation method. The address interpreter processes strings of
address (or tokens) compiled in definitions created by
: (colon), by
executing the definition pointed to be each.
7.1. Keyboard Interpreter
On power-up, Forth start to execute an infinite loop known as
QUIT. This is the Forth interpreter or keyboard interpreter.
: QUIT ( -- ) BEGIN RESET QUERY INTERPRET AGAIN ;
RESETclears the stacks,
QUERYwaits for user entry from the keyboard (or reads a line from a mass storage device) for commands to be used by
INTERPRETto search the dictionary for a match, followed by execution.
AGAINare the program-control words that make it an infinite loop.
QUIT loop provides the "interactive" nature of the language as
it carries out commands as soon as they have been entered. The results can
be inspected by the same keyboard interpreter. A new definition can be
tested and the trial/error cycle repeated in a fraction of the time
required by other edit-compile-link-test languages.
7.2. Address Interpreter
The last field of the definition's head is a pointer to the code to be
executed by the function, the address of this field in known as the "code
field address" or "cfa". For all high-level Forth words (words
defined as a
: definition) this will be the address of the address
interpreter. That is the word
The address interpreter has a register
I that contains the address
of the next entry in the list to be executed. This entry is the address of
the cfa of the word called by the higher-level word currently being
executed. It is the cfa that determines the nature (or type) of
In the example given in figure 2 the word A calls
the word B, which in turn calls the word X, etc. The
cfa is kept in an intermediate register
W. Because of these two
levels of indirect addressing and the dictionary-list structure Forth is
also known as "Indirect Threaded Code".
The address interpreter reads
I and loads
W with the address
next in the list. It then reads from
W and executes the code
indicated by the code pointer.
I is automatically incremented for
the next entry in the list, as the first entry was the cfa
now points to the body of the definition. This is useful when defining
data-type structures such as look-up tables, where the body contains the
elements of the table.
In the case of high-level commands, the code field address points to
(:), a routine that saves the current
I on the return stack,
W and repeats the process. At the end of
the high-level definition, the word
EXIT is executed. This will
restore the old value of
I and program execution continues as
before. These three actions, read
I pointer, save
I pointer, are the basic mechanism by which the address
The address interpreter has three important properties.
JSRinstruction and address.
:(colon) and interpreted by the address interpreter. Most of Forth itself is defined in this manner.
CODEthe programmer can create a definition whose behaviour will consist of executing actual machine instructions.
CODEdefinitions may be used for I/O, arithmetic primitives, and other machine-dependent (or time-critical) processing. When using
CODEthe programmer has full control over the CPU, as with any other assembler.
CODEdefinitions run at full machine speed.
This is an important feature of Forth. It permits explicit
computer-dependent code in manageable pieces with specific interfacing
conventions that are machine-independent. To move an application to a
different processor one is only required to recode the
which will interact with other Forth words in exactly the same manner.
Forth assemblers are sufficiently compact (typically a KByte) that they
can be resident in the system (as are the compiler, editor, and other
programming tools). This means that the programmer can type in short
CODE definitions and execute them immediately. This capability is
especially valuable in testing custom hardware (See an example of testing hardware).
9. Virtual storage
The final unique element of Forth is its way of using disk (or other mass
storage) as a form of "virtual memory" for data and program source. As
in the case of the address interpreter, this approach is historically
characteristic of Forth, but is by no means universal. The disk is
divided into 1024 Byte blocks. Two (or more) buffers are provided in
memory, into which blocks are read automatically when referred to. Each
block has a fixed block number, which in native systems is a direct
function of its physical location. If a block is changed in memory, it
will automatically be written out when its buffer must be reused. Explicit
reads and writes are not needed; the program will find the data in memory
whenever it is accessed.
Such block orientated disk handling is efficient and easy for native Forth systems to implement. As a result, blocks provide a completely transportable mechanism for handling program source and data across both native and co-resident implementations.
Definitions in program source blocks are compiled into memory by the word
LOAD. Most systems include an editor, which formats a block for
display into 16 lines of 64 characters each and provides commands to
modify the source. An example of a Forth source block is given in
Source blocks have historically been an important element in Forth style. Just as Forth definitions may be considered the linguistic equivalent of sentences in natural languages, a block is analogous to a paragraph. A block normally contains definitions related to a common theme, such as "vector arithmetic". A comment on the top line of the block identifies this theme. An application may selectively load the blocks it needs.
Blocks are also used to store data. Small records can be combined into a block, or large records spread over several blocks. The programmer may allocate blocks in whatever way suits the application, native systems can increase performance by organising data to minimise disk head motion. Several vendors have developed sophisticated file and data base systems based on Forth blocks.
Versions of Forth that run co-resident with a host Operating System often
implement blocks using files. In addition to providing a more common file
10. Data Structures
All high-level words share the same data structure (figure 1).
The head of a word contains the data required by the keyboard interpreter
to identify the word (see figure 3).
The "link" field contains the address of the head of the previous command in the dictionary list. This is required when searching the dictionary.
The "name length" field contains the number of characters in the full name of the word, followed by those characters. This is required to match the name of a command to that presented during interpretation. Most Forth systems only store the first 3 characters of the name, to avoid name clashing while minimising the space used (most systems allow one to select from between 3 to 31 characters).
The process of interpretation starts with the last entry in the dictionary and follows the link list backwards until a match is found. Although many systems now provide a hashing algorithm that splits the dictionary into separate lists, only one of which is searched, considerably reducing the search time.
The "code pointer" is the cfa of the first instruction to be executed for the word, this forms the first entry in the body of the definition. It is the address of the code that will interpret the rest of the definition, thus points to different code for different data types.
The body of a word varies for different data types (see figure 4):
CODE) definitions, the body contains a list of op-codes which defines the behaviour of the command. The cfa therefore contains the address of the body.
CONSTANT, the body contains the actual data. The cfa contains the address of a routine that manipulates this data as required. An example of a user defined data-structure is given in figure 5.
:(colon) definitions, the body contains a list of addresses for all the previously defined words that make up its definition. The cfa is the address of the address interpreter
Block: 180 0. ( LED control ) 1. HEX 40 CONSTANT LIGHTS DECIMAL 2. : LIGHT ( n -- ) LIGHTS OUTPUT ; 3. 4. VARIABLE DELAY 5. : SLOW 500 DELAY ! ; 6. : FAST 100 DELAY ! ; 7. : COUNTS 256 0 DO I LIGHT DELAY @ MS LOOP ; 8. 9. : LAMP ( n -- ) CREATE , DOES> ( a -- n ) @ ; 10. 1 LAMP POWER 2 LAMP HV 4 LAMP TORCH 11. 8 LAMP SAMPLING 16 LAMP IDLING 12. 13. VARIABLE LAMPS 14. : LAMP-ON ( n -- ) LAMPS @ OR DUP LAMPS ! LIGHT ; 15. : LAMP-OFF ( n -- ) INVERT LAMPS @ AND DUP LAMPS ! LIGHT ;
Notice the comment on the first line (line 0) indicating the nature of the code given in the rest of the block. This is usually called the index line. Most Forth systems allow one to look at the first line of each block to discover what blocks are required for a particular application.
The LEDs are interfaced through a single 8 Bit port mapped to the address
40H. This location is defined as a
CONSTANT on Line 1, so that it
may be referred to by name; should the address change, one need only adjust
the value of this constant. The word
LIGHTS returns this address on
the stack. The definition
LIGHT takes a value on the stack and
sends it to the device. The nature of this value is a bit mask, whose bits
correspond directly to the individual lights. Thus, the command:
LIGHTSto suit the new hardware, while the rest of the application code need not be changed.
Lines 4--6 contain a simple diagnostic of the sort one might type in from
the terminal to confirm that everything is working. The variable
DELAY contains a delay time in milliseconds; execution of the word
DELAY returns the address of this variable. Two values of
DELAY are set by the definitions
the Forth operator
! (pronounced "store") which takes a value
and an address, storing the value in the address. The definition
COUNTS runs a loop from 0 though 255 (the loop is started by the
DO and ended by the word
LOOP). The word
places the current loop index on the stack, this is then sent to the
lights. The system will then wait for the period specified by
DELAY. The word
@ (pronounced "fetch") fetches a value
from an address, in this case the address supplied by
value is passed to
MS, which waits the specified number of
milliseconds. The result of executing
COUNTS is that the light will
count from 0 to 255 at the desired rate. To run this one would type:
SLOW COUNTS or
LAMPis a defining word which takes a bit mask (representing a particular lamp) as an argument, and compiles it as a named entity. The word
CREATEcompiles a header into the dictionary, while the word
,(comma) places the mask into the body of the definition. The word
DOES>places the address of the following code into the cfa of the new word. Therefore when the new word is executed its action is to fetch the contents of the first item in the body of the new word. Lines 9 and 10 contain five uses of
LAMPto name particular indicators. When one of these words, such as
POWER, is executed, the mask is returned on the stack. In fact, this behaviour is identical to the behaviour of a Forth
LAMPdefinition is included here for example. The ability to define such a "defining word" with the use of
DOES>is one of the most powerful features of the language, allowing one to define "intelligent" application based data structures.
Finally, on lines 13--15, we have the words that will control the light
LAMPS is a variable that contains the current state of the
lamps. The word
LAMP-ON takes a mask (supplied by one of the
LAMP words) and turns the lamp on. It changes the state of that
particular lamp, saving the result in
turn the given lamp off, also changing the
In the remainder of the application, the lamp names and
LAMP-OFF are probably the only words that will be executed directly.
The usage will be for example:
POWER LAMP-ON or
The time to compile this block of code on the system was about half a second, including time to fetch it from disk. So it is quite practical (and normal practice) for a programmer to simply type in a definition and try it immediately. In addition, one always has the capability of communicating with external devices directly. The first thing one would do when told about the lamps would be to type:
HEX FF 40 OUTPUT
A "target-compiler" allows the use of a host CPU, such as an IBM PC, for developing systems. Programs can be edited and interactively tested at the keyboard. These programs can then be compiled for the target environment and the appropriate ROM code produced. One function of the target compiler is to strip out any unproductive required code, such as the compiler, editor and assembler. By doing this, run time ROM overhead can be reduced from the 8 KBytes of development system to a minimum of approximately 600 Bytes.
The "cross-compiler" acts in much the same way as the target-compiler. Allowing the user to develop (and test) code on a host system. The cross-compiler will then compile the Forth system, in much the same manner as the target-compiler, except the target of the cross-compiler is a different CPU, with a different machine language. This facility allows us to develop systems for new CPU's very quickly. As the majority of Forth systems are written in Forth we need only write an assembler for the new processor and cross-compile the Forth system for the new processor. Most Forth systems are developed using this method. As a result, Forth is usually one of the first languages to be implemented on a new processor.
The process of writing one Forth compiler in another is referred to as
Multi-tasking Forth systems have existed since the beginning. These
systems are not just language processors, but contain operating system
characteristics as well. Many of these integrated systems run entirely
stand-alone, performing all necessary operating system functions.
The Forth operating environment is fast and as a result, Forth-based systems can support both multi-tasking and multi-user operation even on computers whose hardware is usually thought incapable of such operation. For example, one producer of telephone switchboards is running over 50 tasks on a Z80. There are several multiprogrammed products for the IBM PC, some of which even support multiple users. Even on computers that are commonly used in multi-user operations, the number of users that can be supported may be much larger than expected. One large data-base application running on a single 68000 processor has over 100 terminal updating and querying its data-base, with no significant degradation.
Multi-user systems may also support multiple programmers, each of which has a private dictionary, stacks and a set of variables controlling that task. The private dictionary is linked to a shared, re-entrant dictionary containing all the standard Forth functions. The private dictionary can be used to develop application code which may later be integrated into the shared dictionary.
Figure 6 shows the classical method of multi-tasking in a
Forth system. This is a "voluntary round robin" scheduler. It is
the most common implementation of multi-tasking found in Forth systems.
However, some implementations use time slicing or priority scheduling and
other preemptive algorithms. In this system each task has a user
area where its control variables, private dictionary, and stacks are
kept. The first field of this user area is the
STATUS variable. A
task has two possible values for this variable, awake or
For a task to be selected for execution it must be awake. When the task
has been selected its status is reset to asleep. The task executes until
it voluntary re-enters the scheduler by executing the word
This will reset the task's status back to awake prior to re-entering the
scheduler. When the scheduler comes around again the task will continue
execution from after the
In addition to the
PAUSE word, a task could also re-enter the
scheduler by executing the
STOP word. This is similar to
PAUSE except that it does not reset the task's status to awake, thus
it will re-enter the scheduler with the task's status set to asleep. This
means that the task will not be executed again, until such time as its
status is set to awake by another task, or an interrupt.
The system is programmed in this manner so as to allow for interrupts.
When an interrupt occurs, some machine dependent code will set a given
task's status to awake, thus when the scheduler next comes to that task it
will be executed. The
STATUS variable is set to asleep when the
task is executed, to allow for an interrupt occurring while the task is
executing. Hence, if a task executes a
STOP its status is not
changed, thus if an interrupt has set the task's status to awake whilst the
task was executing it will re-enter the scheduler with its status set to
awake. Thus allowing us to buffer an interrupt. However, this means that
when a task is giving up the processor voluntarily and wishes to continue
execution next time the scheduler comes around, it must set its status to
The round robin scheduler takes the address stored in the
variable as the address of the next task. If that task's
set to awake, it is executed, otherwise the scheduler will take its
LINK address and move on to the next task. This can be seen in the
figure 6. There are two main problems with this method:
PAUSEin the underlying system and the speed of the Forth system overcome these problems in the majority of applications.
In 1981, Chuck Moore undertook to design a chip-level implementation of the
Forth virtual machine. Working first at FORTH, Inc. and subsequently
with a start-up company formed to develop the chip, Moore completed the
design in 1984 and the first prototypes were produced in early 1985. More
recently, Forth processors have been developed by Harris Semiconductor
Corp., Johns Hopkins University and others. Forth-based chips offer
extremely high performance, generally comparable with RISC chips but
without the programming difficulties that accompany conventional RISC
The Forth community has agreed that a standard base from which extensions
and application can be built is required. The first of these standards was
started in the mid-1970's by FIG. This was later to become known as
the FIG-Forth standard.
However, the first major effort to standardise Forth was a meeting in Utrecht in 1977. The attendees produced a preliminary standard and agreed to meet in the following year. The 1978 meeting was also attended by members of the California based Forth Interest Group. Over the next couple of years a series of meetings, attended by both users and vendors, produced a more comprehensive standard called Forth-79.
Although Forth-79 was very influential, many Forth users and vendors found serious flaws in it. In 1983 two further meetings where held to produce the refined Forth-83 standard.
Encouraged by the widespread acceptance of Forth-83, a group of users and vendors met in 1986 to investigate the feasibility of an American National Standard. The Technical Committee for American National Standard Forth, the ANS ASC X3/X3J14 committee held its first meeting in 1987 with the objective "to achieve an acceptable standard which will result in broad compliance among all major vendors of Forth language products, with minimum adverse impact upon transportability from existing systems in use."
After 18 meetings (65 working days) the Technical Committee had processed over 1105 proposals (from more than 5 countries). At the beginning of August 1991 the Technical Committee forwarded a "draft proposed standard" to the Standards Planning and Review Committee of the American National Standards Institute. This is the most far reaching of all the standards. The standard has been open to public review (and comment) for the seven years it has been in development. It has now passed its "public review" and is to be published in the second quarter of 1994.
As people work with Forth and develop useful extensions, so the language
is developed. There are three conferences held with regard to the
development of the Forth language each year. The "Forth Modification
Laboratory" (FORML) is held at Mt. View, California and is organised by
FIG. There is also a FORML in Europe each year, this has recently
changed its name from EuroFORML to EuroFORTH (to assist with EEC
applications). The "Rochester Forth Conference" is organised by the
Institute of Applied Forth Research, held at the University of Rochester,
Forth may be seen as a processor with two stacks (parameter and return),
whose assembly code is extendible. The Forth interpreter can be seen as
a full macro-assembler and fully integrated operating system for this
This provides us with an interactive debugging environment where we can add
new macros (high-level definitions) and new instructions (low-level
CODE) definitions). It even allows us to extend the macro system
by defining new data types (defining words (
As this interpreter can also act as a fully integrated operating system the
programmer need only learn the one tool.
Forth has four primitive virtues: (a) Intimacy, (b) Immediacy, (c) Extensibility, and (d) Economy. It has two derived virtues: Total Comprehension, and Symbiosis.
Forth is not just a language, its more of a philosophy for solving problems. This can be summarised with the acronym K.I.S.S. (Keep It Simple and Stupid). To quote from Jerry Boutelle (owner of Nautilus Systems in Santa Cruz, California) when asked "How does using Forth affect your thinking?" replied:
Forth has changed my thinking in many ways. Since learning Forth I've coded in other languages, including assembler, Basic and Fortran. I've found that I use the same kind of decomposition we do in Forth, in the sense of creating words and grouping them together. For example, in handling strings I would define subroutines analogous to Forth'sOr to quote Antoine Lavoisier (1789):
FILL, etc. More fundamentally, Forth has reaffirmed my faith in simplicity. Most people go out and attack problems with complicated tools. But simpler tools are available and more useful. I try to simplify all the aspects of my life. There's a quote I like from Tao Te Ching by the Chinese philosopher Lao Tzu: "To attain knowledge, add things every day; to obtain wisdom, remove things every day".
It is impossible to disassociate language from science or science from language, because every natural science always involves three things: the sequence of phenomena on which the science is based, the abstract concepts which call these phenomena to mind, and the words in which the concepts are expressed. To call forth a concept, a word is needed; to portray a phenomenon, a concept is needed. All three mirror one and the same reality.This embodies the philosophy behind Forth.