Dr Bill’s Generative Art Vending Machine is a custom application where you can mint Generative Art Tokens of my work. Like a vending machine you select an “algorithmic snack”. Our interface allows you to “generate” your own variation based on your interaction with the algorithm. Save off the variations you like, and ultimately, pick and mint a unique image (NFT) of your own. All algorithmic snacks are original implementations of algorithms by yours truly. Some of these algorithms go way back to the underlying code for my original plotter drawings back in the era, 1973-1981. Some of the algorithms were inspired by other image makers. We were a small group at the time, and we influenced each other. Enjoy your snacks!

Generative Art Vending Machine

Dr Bill’s Generative Art Vending Machine is a custom application where you can mint Generative Art Tokens of my work. Like a vending machine you select an “algorithmic snack”. Our interface allows you to “generate” your own variation based on your interaction with the algorithm. Save off the variations you like, and ultimately, pick and mint a unique image (NFT) of your own. All algorithmic snacks are original implementations of algorithms by yours truly. Some of these algorithms go way back to the underlying code for my original plotter drawings back in the era, 1973-1981. Some of the algorithms were inspired by other image makers. We were a small group at the time, and we influenced each other. As an intellectual exercise I can study a particular artists’ work and codify his/her methodology or style. Most influential to me were OP artists like Victor Vasarely and Bridget Riley, graphic artists like M.C. Escher, as well as a few painters like Picasso and Warhol. Many of these artists lived and worked before the advent of Generative Art and did not use computers. However, when I look at their efforts, I attempt to conceive an algorithm to create a derivative work. I call it “Art”ificial Intelligence. Along with this collection of algorithmic snacks I am continually inspired to write more.Enjoy your snacks!

Dr. Bill Kolomyjec has been involved in Generative Art from the very beginning of the form. As one of the earliest pioneers of the medium he started making computer art in the early 70’s.

Dr. Bill, the OG of Generative Art

Dr. Bill, Generative Art OG

Artworks

Dr. Bill has been pioneering the medium of Generative Art since the early 70’s. His Plotter Art Collection includes 1/1 NFTs that come with original prints made back then. His Generative Art Vending Machine is the newest project he’s actively working on. And there’s more!

NFT Art

Events & Media

Discover Dr. Bill's unique collection of 15 postcards showcasing his generative art, and a limited number of original plotter prints created at Michigan State University during his MFA/PhD era, 1974-1981.

Image

Bring home a collection of 15 stunning and unique artworks by Dr. Bill. Each postcard showcases his mastery of generative art and offers a glimpse into the mesmerizing beauty of computer-generated imagery. From vibrant abstract compositions to intricate geometric designs, this set is sure to delight art lovers and tech enthusiasts alike. Request a hand signature by Dr. Bill by tweeting @drbillkolomyjec immediately after purchase!

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Collection

Collection of my contributions to Small Computers in the Arts (SCAN) symposiums from 1981 to 1997. These Proceedings are a time capsule of the era, showcasing the incredible work and innovations that took place during this period.

SCAN Proceedings

My contribution to each year’s symposium is linked from individual boxes. The full proceedings for every year are available at <a style="text-decoration: underline" href="http://scanarts.org/proceedings.html">this&nbsp;link</a> (http://scanarts.org/proceedings.html). The Small Computers in the Arts Network (SCAN) originated from a computer music concert held in 1978 in Philadelphia as part of a Personal Computer show and sponsored by the Philadelphia Area Computer Society. The concert was so successful that its organizers have repeated the event every year. It is now the Annual Philadelphia Computer Music Concert. We realized at that first concert that the audience was not there because of the high quality music (it wasn't), but because of the novelty of the techniques involved in producing the sounds. Since some people didn't quite understand what they were listening to, during the second year of the concert, lectures on computer music were added for those interested in the technology involved. Another problem experienced at that first concert was, what does the audience look at during the performance? Normally the audience follows the movements of the musician or singer on stage....but here was a box sitting on a front table with, at best, a few blinking lights. So, for the next year's meeting, we added talks on computer-generated graphics and video and, since then, have incorporated them into the evening concert. Interest continued to grow and, in 1981, the organizers decided to hold their own three day event called the Symposium on Small Computers in the Arts which consisted of lectures, demonstrations, exhibits, and workshops. The subject matter was expanded to include all the arts and included some talks on dance and sculpture. 'The event was co-sponsored by the Institute of Electrical and Electronic Engineers (IEEE) Computer Society which published the Proceedings of the event. To keep in touch with interested persons the organizers formed an informal non-profit group, the Personal Computer Arts Group and published a small, irregular newsletter. As interest grew further, it became clear that the group could better serve its purpose by incorporating as a non-profit, educational organization. This led to the formation of the Small Computers in the Arts Network, Inc., or SCAN, in August of 1985 and the obtaining of its tax-exempt status in 1987. Today SCAN is an organization which provides information for those interested in using computers and related technology in the arts. This includes music composition, music synthesis, music performance, graphics design, animation, video, textile design, sculpture, dance, writing, and other aspects of the arts. SCAN performs its services partly by means of a l(X)-page resource guide to the field published twice a year entitled Small Computers in the Arts News. Current subscribers are located across the country, in Canada, and in several European countries. In addition, the annual Symposium on Small Computers in the Arts is organized by SCAN and provides a forum for those working in the field to present new works, developments, and techniques. Courses and workshops are offered at both beginning and advanced levels. Demonstrations, film and video shows, a computer art gallery, and the computer music concert are also part of the Symposium. An important service which SCAN performs is to provide information for educators who have schools and institutions. Approximately half of our Symposium attendees and newsletter subscribers are connected with educational institutions. A speakers and consultants bureau has recently been established by SCAN to connect those who have experience in the field to those who need it. SCAN has operated for the past nine years as a volunteer organization with a minimal budget and has been entirely self-supporting. We have recently obtained some support from the Pennsylvania Council on the Arts for a much needed part time staffer. We currently have a mailing list and data base of over 1800 people across the country and internationally interested in this field.

Small Computers in the Arts Network

State-of-the-Art Computer Animation circa 1975-6. A collaboration between an Artist/ Graphic Design graduate student (Bill Kolomyjec) and 2 Computer Science students (grad student, Christopher Scussel and undergrad student, David Knight).

A Tail

A Tail with sound - early computer animation

Exploring MidJourney in unique way, and marvelling at the results. Recorded live on Mar 1, 2023

Dr. Bill’s foray into AI art

Dr. Bill Turns 75

Dr. Bill takes the audience of an NFT Art event in Toronto on the generative art journey, from the 70’s until now.

Generative Art Retrospective 11.20.2021

Bear jokes and Generative Art NFTs chat with Michael Rippe at the Morning Squeeze space.

Morning Squeeze Twitter Space, Jun 7, 2022

I visit the DOJO of The Sensei to chat about how it was creating computer art in the 70’s and all things NFTs, Art and Life.

Dr. Bill live with The Sensei, 06.07.2022

I made a guest appearance on this Abstract Art NFTs Twitter Space hosted by abstract artist Alisha Anglin. We talk about my journey as a computer artist, and all things generative / abstract art and NFTs.

Abstract Artists & NFTs, Jun 3, 2022

One of my early artworks, Hypnotic Squares, was featured in this Generative Artistry series of interactive tutorials exploring ideas and techniques used in Generative Art.

Hypnotic Squares Tutorial

Ukrainian Institute of Modern Art, Chicago, Feb 1 - Mar 16, 1980.  Original exhibition description from 1980: Computer Aided Graphics is an exhibit featuring the medium of computer graphics. It is the youngest medium to challenge traditional media since photography. Dr. Herbert W. Franke, author of one of the most significant books on the subject entitled Computer Art – Computer Graphics, states that it was in the year 1965 that aesthetic Computer Graphics "became more generally known". In that year there were two exhibitions of computer graphics as aesthetic imagery…

AIAO

Ukrainian Institute of Modern Art, Chicago, Feb 1 - Mar 16, 1980 Original exhibition description from 1980: Computer Aided Graphics is an exhibit featuring the medium of computer graphics. It is the youngest medium to challenge traditional media since photography. Dr. Herbert W. Franke, author of one of the most significant books on the subject entitled Computer Art – Computer Graphics, states that it was in the year 1965 that aesthetic Computer Graphics "became more generally known". In that year there were two exhibitions of computer graphics as aesthetic imagery. One in January at the Studio Gallery of the Technische Hochschule (now University) in Stuttgart, West Germany, arranged by Georg Nees; and the other in April at the Howard Wise Gallery in New York entitled "World Exhibition of Computer Graphics", organized by A. Michael Noll. Franke gives credit to William A. Fetter who, he states, was the first to use the term "computer graphics". While Fetter was affiliated with Boeing Corporation, he produced computer drawings of the human figure for use in airplane cockpit design which are now considered as classic computer imagery. Franke mentions another significant figure in his discussion of the beginning years of computer art: Kenneth Knowlton who, with others, was first responsible for picture processing and other digital image processing. His experiments and research involving representational image processing at Bell Laboratories may indeed be considered as standard setting in the medium. We are delighted and honored to have the works of these three pioneers at our exhibition. Since these pioneering days (15 years ago) surprisingly few persons have come to be known as computer graphic artists. To be a practitioner of the medium three essential ingredients must be present. One is an aesthetic sensibility or a visual awareness. Two is access to a computer with graphic peripherals, the hardware. Three, the ability to interact with the hardware so that visual imagery is generated. This third component is the most critical and whether you can do it yourself or have someone to help doesn't seem to matter. Hence, we find our proponents near centers of high technology, in proximity to their hardware. Anywhere computers can be found, so too can we find the computer artist. In fact, for this very reason, computer aesthetic imagery is as international as computer technology. Four countries are represented in this show: Belgium, France, West Germany, and the United States. The works assembled here do not represent any single artist. Rather the intent is to provide a cross-section of what has come to be called "Computer Art" and to provide the onlooker with a synergistic glance at an art form of the future as it struggles to find its way into the contemporary art scene. We cannot deny a growing dependence on computers and computer technology in the years to come. Therefore, it might follow that computer art is going to be more significant in the aesthetic world. We have already forced the academe to reconsider the meaning of originality with our random-number generators and the question of removing the hand from the image making process. The computer is indeed a tool at the hand of an enlightened artist. The cliche "Garbage In/Garbage Out”, was the inspiration for the title of this exhibition. In a typical conversation about computers, we have heard this expression and it represents a common and accepted knowledge about computers. It is a fairly accurate perception. The salient issue, however, is that if one accepts this as gospel about computers one must also concede to the notion that aesthetically intended input must yield aesthetic imagery as output, hence "Art In/Art Out". The intention to use this technologically oriented medium to create imagery is paramount to the physical nature of the computer. The need for self-expression can be actualized by the medium of computer graphics with all aesthetic imagery it is up to the viewer to decide if the integrity of these artists is genuine and is present in their visual statements. Those who participate with me in this exhibit, I know, either personally or by reputation. We have all exhibited our computer aided graphics as aesthetic imagery. I feel that most, if not all, factions of the medium are represented. I would like to thank all those who are exhibiting their works. Also, I would like to thank the Ukrainian Institute of Modern Art for giving my fellow computer artists and myself the opportunity and a place to exhibit. Special thanks go to Wasyl Kacurovsky, the regular Curator of the Institute, for his help and enthusiasm; Dr. Achilles Chreptowsky, founder of the Institute; and Kalina Pomirko, friend and Institute Secretary. Enjoy!  Bill Kolomyjec Guest Curator January, 1980

Art In/Art Out computer art exhibit

We had a great conversation about the origins of generative art, and my journey as a pioneer of the form in the early 70’s to present day.

“Algorithmic Art & NFTs" podcast with Sebastian Rusk 04.27.2022

Flip was not my student, rather an undergraduate assistant in the Department of Engineering Graphics at The Ohio State University in the early 1980's where I taught for a while. I helped him with his academic plan to graduate. According to Flip I introduced him to Chuck Csuri. It was the beginning of a life-long relationship. Read his insightful account of Chuck’s immense contribution, as an artist, and human being.

A tribute to Chuck Csuri by Flip Phillips

A tribute to Chuck Csuri (1922-2022) by Flip Phillips

The pioneers of Generative Art are finally getting their due. This article features a couple contemporaries of mine: Charles Csuri, whom I had the privilege of knowing in the early 1980's, and Vera Molnar, who contributed to an exhibition of Computer Art/Computer Graphics I guest-curated in 1980. Both true OG's. It is so interesting to me to see the journeys these early pioneers took from those early days, through the ensuing decades to the present where they are receiving the acclaim they are rightly due.

Sotheby’s Generative Art sale

Sotheby’s Generative Art sale, Apr 14-25, 2022

Dr. Bill Kolomyjec ascribed to Computer Art a role that would shape society, and span the chasm between art and culture on the one hand, and science and technology on the other.

compArt-daDA

compArt daDA: the database Digital Art

An article I wrote in September 1975, published in “Artist and Computer” book, edited by Ruth Leavitt.

The appeal of computer graphics

Concept behind ‘shotgun’ art approaches 1940s abstract expressionism.

Computer World magazine article 06.05.1978

An interesting generative art collection by Alex Rudloff that was influenced by me and other OGs of Generative Art.

Blocks: a generative art NFT built exclusively on Stacks

My artwork will be exhibited on digital screens at this NFT Art gathering in Toronto on March 26, 2022.

NFT Art - Spring Mixer 03.26.2022

This collection presents the original plotter prints programmed in FORTRAN, executed on a CDC6500 mainframe computer and an offline Calcomp 936 drum plotter. Done at Michigan State University during my MFA/PhD era, 1974-1981. Very few original prints remain. Available quantity varies, and is listed under each artwork.

A regular tessellation of overlapping “tiles.” The tiles alternate. The form of the tiles are two variations of a circle. Each circle is comprised of vertical or horizontal line segments which are clipped by the outline of a circle. The line segment spacing, or intervals, are determined by a trigonometric function. This piece was originally called “spots” but over time has come to be known by a more descriptive name that reflects the gestalt interaction of the spots. A visual whole that has become more than the sum of its parts. Indeed a woven memory for me.

Woven Memories

Boxes II is a generative art "derivative" piece inspired by one of the earliest pioneers of the generative art medium, George Nees. In the beginning when we only had plotters to draw lines with, the small community of computer artists produced works that inspired each other. His work called “Gravel” inspired me to create Boxes I and Boxes II. A regular grid of square tiles. As the computer draws each square its position relative to the center of the grid is calculated using the distance formula. In the case of Boxes II the further the square is from the center of the grid, the more random displacement (translation) and rotation is allowed.

Boxes II

This was a surprising variation of one of my earliest Generative Art pieces, Organic Illusion. Organic Illusion is a regular grid of square tiles. Each tile consists of a square with its perimeter divided into the same number of points of the circle it contains. Randomness determines the placement of the circles’ center relative to the center of the square. The method where the points between the two shapes are connected creates a 3D illusion. Twist uses the same configuration of a circle in a square divided into the same number of points. This time the circle is not randomly translated, rather it is fixed in the center of the square. The coordinates that make up the sides of the square and the perimeter of the circle are stored in arrays. Using a linear interpolation technique to move from one point of a figure to the other I manipulate the array indices of the circles’ data producing a happy, but unexpected result. Twist is a true Op Art piece. It messes with your mind. If you try and hang it on the wall it always looks crooked.

Twist - SOLD OUT

This drawing uses all the figures from a set of hand-digitized representational images. The full set consists of: Goose, Frog, Fat Cat and Elephant. I often used these interchangeable figures in my early works. I used to be an Engineering graphics professor. Back in the day, before CAD, we were developing algorithms for perspective drawing. In this piece I wrote an algorithm to randomly distribute my digital menagerie on the surface of a cylinder. Then I used the computer to draw the data using perspective drawing equations we had developed. The result is a one-point perspective as if looking through the length of the cylinder.

Creature Tunnel

This is regular grid tessellation made up of 9 columns x 7 rows of tiles. Each tile is an interpolation between a smaller inner square and the larger outer square that contains it. The number of in-betweens in this variation is random. The position of the small, contained square is allowed to vary (translate) horizontally and vertically by controlled randomness.

Concentric Square Random

This drawing uses the Goose figure from a set of hand-digitized representational images. The full set consists of: Goose, Frog, Fat Cat and Elephant. I often used these interchangeable figures in my early works. Coming and Going is the juxtaposition of two spiral configurations. The digitized figure of a goose is drawn at function-based intervals tangent to each curve at the interval. Also, as the figures are drawn along each curve they are scaled up in the middle and down at the ends. Where the curves overlap, as one curve ends, the figures are rotated so they continue their flight path out into the second curve. Hence they come in on one curve and go out on the other. This notion is amplified by the fact that the figures are at their smallest size at the ends of the curves. This piece was inspired by the works of M.C. Escher.

Coming And Going

An Op Art inspired work. Bulges and Dents is a two tile tessellation where each tile is a tessellation. In one tessellated tile a mathematical function manipulates the drawing coordinates of a regular grid of tiles to appear to be pushed in (dents) while the other manipulates the drawing coordinates of a regular grid of tiles to appear to be pushed out (bulges). The mathematical function to do this was written by Christopher Scussel.

Bulges and Dents

Boxes I is a generative art "derivative" piece inspired by one of the earliest pioneers of the generative art medium, George Nees. In the beginning when we only had plotters to draw lines with, the small community of computer artists produced works that inspired each other. His work called “Gravel” inspired me to create Boxes I and Boxes II. A regular grid of square tiles. As the computer draws each square its position relative to the center of the grid is calculated using the distance formula. In the case of Boxes I the closer the square is to the center of the grid, the more random displacement (translation) and rotation is allowed.

Boxes I

This drawing uses the Goose figure from a set of hand-digitized representational images. The full set consists of: Goose, Frog, Fat Cat and Elephant. I often used these interchangeable figures in my early works. Digitized representational image of a Goose is placed at intervals along a space curve. Curves are generated by a mathematical function written by Christopher Scussel. The Goose’s scale and orientation is based on data from the curve. The slope of the curve at a given point determines the direction of the bird figure. This is an early example of Generative Art. Many curves were drawn before this particular curves’ data set was determined. In essence, random to a point of being chosen by the artist.

Bird Curves

A variation of Banana-Cone. Linear interpolation between two digitized representational images. One figure, the bunch of grapes, is placed inside the other, the water droplet. The outline of the water droplet is not continuous; rather it is made up of the same number of points as the grape figure. I.e., carefully contrived. Linear interpolation is used to transform one figure to the other, drawing in-between at intervals based on a function. What was interesting to me is how a third image appears from the transformation process in the form of a chalice.

Water Into Wine

I had the idea to do a bird-fish transformation with digitized data. I already had a hand-digitized figure of a Seagull from another project, so I designed and hand-digitized the representational image of a Walleye. (Why? I used to go fishing for Walleye with my cousin.) I created a unique algorithm for this transformation. Since each image was stored as coordinate data, I could break each image into its component line segments. I constructed one image by randomly choosing line segments and drawing those, and superimposing the other image over the first, randomly deconstructing it a line segment at a time. Over the full transformation I proportionately added line segments from one image and removed line segments from the other. For example, for an 11-frame sequence: First frame 100% of image of the bird, 0% of the fish. Second frame 90% of the bird, 10% of the fish. Third frame 80% of the bird, 20% of the fish. Until frame 11, 0% of the bird, 100% of the fish.

That Walleye's Got a Lotta Gull

This was a proof of concept drawing of an algorithm I created for changing one image into another, where I stored all the line segments that make up an image (in this case a set of vertical and horizontal lines) into two arrays. Think of it as two bags of line segments. Then, over the course of some number of frames (numFrames) I juxtapose one image on the other. For one frame I build one image, randomly picking out a percentage of the line segments (1/numFrames). Then I overdraw the second image, complete at first, by subtracting some number of line segments in subsequent frames. For example, for an 11-frame sequence: First frame 100% of image one, 0% image 2. Second frame 90% of image 1, 10% of image 2. Third frame 80% of image 1, 20% of image 2. Until frame 11, 0% of image one, 100% image 2. I used this algorithm as the basis for my work entitled: That Walleyes’ Got a Lotta Gull.

Image Transformation Study

M.C. Escher demonstrated this algorithm by employing traditional media and interlocking figures in his “square limit” graphic works. I don’t claim to be on par with Escher but I had a computer to do my drawing. I devised an algorithm (described below) and designed two interlocking hand-digitized figures: an angel representing good and a bat-devil representing evil. The image is designed to be hung on a 45 degree angle to keep these forces in balance. Ambiguity of Limits is a very specific form of spatial organization. All math and no randomness involved. The idea is that central figures are surrounded by half size versions of themselves. In turn that ring of shapes is surrounded again by half size versions of those figures, etc. In theory this could go on forever and you would never reach the outer limit. However, a practical limit is reached, and the process stopped when the area to draw the scaled version of the figure is smaller than the nib of the pen.

Struggle between Good and Evil

This is a simple regular grid tessellation; the tiles are either a twinkling star or a moon in one of its phases from full to almost new. A coin-toss algorithm is employed to decide on which shape is drawn. If the star is chosen then controlled randomness determines a star’s inner radius, the outer radius being fixed. That is as close as I could get to making a star twinkle. Then I rotate the star at some random angle. If the moon is chosen, then controlled randomness determines the phase from full to almost new and some degree of rotation. One-twenty-eighth of the time no moon is drawn representing the new moon phase. The larger the overall image, the more it represents the night sky.

Stars And Moons

The is regular grid tessellation made up of 9 column x 7 rows of tiles. Each tile is an interpolation between a smaller inner square and the larger outer square that contains it. The number of in-betweens in this variation is random. The position of the small contained square is allowed to vary (translate) horizontally and vertically by controlled randomness.

Random Squares

This is an early work. It is a regular grid tessellation where each “tile” consists of two randomly generated overlapping ellipse shapes. Each shape is made of the same number of points. Rather than connecting the points (coordinates) that define the ellipse shapes’ perimeter, I connect one ellipses’ perimeter points to the corresponding point in the second ellipse, and so on. This seems to create imaginary cylinders and a shallow perspective effect.

Spatial Cylinders

The scorpion is a hand-digitized figure taken from a woven rug purchased on a vacation to Greece. Later in graduate school I used the image from the rug as subject matter for this generative art piece. A computer algorithm used the digitized scorpion image data in a controlled random way. Instances are randomly distributed in rows, the algorithm decides, again randomly, whether to spin or not spin an instance of the image. If it chooses to spin the image it rotates it some number of random degrees as it scales the iteration. Creating tone or value in the overall image was a major objective. In plotter art imagery where you could only draw a line, the only way to create tone or value was by overdrawing an image. As a side note, both my wife and I were Scorpio’s. This piece suggests how Scorpio’s interact.

Scorpion Spin

One of my earliest Generative Art pieces. A regular grid of square tiles. Each tile consists of a square with its perimeter divided into the same number of points of the circle it contains. Randomness determines the placement of the circles’ center relative to the center of the square. The method by which the points between the two shapes are connected creates a 3D illusion.

Organic Illusion

le Morté de Beardsley is a carefully designed image. I wanted to pay homage to Aubrey Beardley based on a Dover book of his illustrations. I was very inspired by his illustrations and wanted to introduce some of his style into my nascent medium. I found this in Google about the book: It was Beardsley's first major commission, and included nearly 585 chapter openings, borders, initials, ornaments and full- or double-page illustrations. The majority of the Dent edition illustrations were reprinted by Dover Publications in 1972 under the title Beardsley's Illustrations for Le Morte Darthur. Aubrey Beardsley died at age 25. le Morté de Beardsly is based on the illustration of a peacock. I was getting better at programming, so I tried a few things with this image. Some of the image was digitized by hand. That data was used to attempt a hidden line algorithm that did not render the lines behind the peacock’s neck. I had to carefully compute those intersections. The key to the image is the peacock’s eye. All the feather designs align to the eye of the peacock, always returning the gaze of the viewer back to the eye. This had to be calculated and adjusted by another algorithm.

le Morté de Beardsley

Kolomyjec’s Moiré was my attempt at making an Algorithmic Art contribution to the Op Art Movement. It is a mandala-like image that seems to pulsate as you observe it due to the Gestalt phenomena of figure-ground. Twelve equal-length, equal-spaced lines radiate from the center. The ends of these lines split into 2 and radiate out a distance. (24) At the end, those lines split into 3 out a distance. (72) At the end those lines split into 4 out a distance. (286) At the end those lines split into 5 out a distance, so that at the final perimeter the circle is divided into 1430 points. This was a real testament to the quality and precision of the plotter equipment I was using in the day. (Calcomp 936)

Kolomyjec’s Moiré

Hard to believe these two images have survived so long. The printer was one of the first computer output devices. When you ran a program on a computer in the early 1970’s you always got the output on printer paper. The paper was cheap and plentiful. Historically, some of the first computer graphics were printer outputs made by arranging alphanumeric characters on printer pages. Computer nerds would figure out which characters to print to make Snoopy or Star Trek characters. They also figured out how to produce gray scales by overstriking characters. It was crude but effective. I was majoring in Graphic Design in the early 1970’s and with the help of my friend Chris Scussel, a math/computer science major, we tried to seriously push this medium to produce algorithmic art. He developed a kind of gray scale and we experimented with some functions. The result of which were these two drawings.

Kolofunc 2

Hard to believe these two images have survived so long. The printer was one of the first computer output devices. When you ran a program on a computer in the early 1970’s you always got the output on printer paper. The paper was cheap and plentiful. Historically, some of the first computer graphics were printer output made by arranging alphanumeric characters on printer pages. Computer nerds would figure out which characters to print to make Snoopy or Star Trek characters. They also figured out how to produce gray scales by overstriking characters. It was crude but effective. I was majoring in Graphic Design in the early 1970’s and with the help of my friend Chris Scussel, a math/computer science major, we tried to seriously push this medium to produce algorithmic art. He developed a kind of gray scale and we experimented with some functions. The result of which were these two drawings.

Kolofunc

Horizons was an image intended as a wedding present for friends. The couple were Mormons and seagulls have some significance to them in their faith. At the time I wasn’t quite sure what marriage was about, but it seemed to me that it was about a commitment as a couple to move off together into the future. To me the future lies on the horizon. The representational image of a seagull was first drawn on graph paper and hand-digited for this image. The spacing between each line of seagulls is determined by mathematical function (sinusoidal interval). I.e., the viewer is looking sideways (perpendicular to the axes of the cylinder) at the bottom half of a cylinder. A random number of seagull images are randomly distributed on horizontal lines relative to their size to maintain an illusion of perspective. The same function was also used to determine the scale of the seagulls on each line. The horizontal lines on the bottom are a mirror image of the quarter cylinder (the top quarter of a cylinder). The viewer is drawn unknowingly to the horizon (into the future) which lies between the converging curved surfaces.

Horizons

This drawing uses the Goose figure from a set of hand-digitized representational images. The full set consists of: Goose, Frog, Fat Cat and Elephant. I often used these interchangeable figures in my early works. Geese is an original work from around 1975. The computer generates an array of translation coordinates and translates each goose into position. A mathematical function written by Christopher Scussel provides the rotation angle for each instance of the goose in its respective position in the array. The function provides different rotation information and the overall flow of the image or surface pattern changes. Birds of a feather indeed flock together. This is an early example of Generative Art. Many versions were drawn before this particular data set was determined. In essence, random to a point of being chosen by the artist.

Geese

This drawing uses the Frog figure from a set of hand-digitized representational images. The full set consists of: Goose, Frog, Fat Cat and Elephant. I often used these interchangeable figures in my early works. Frog Pond is an original work from around 1975. It is a very simple algorithm. A predetermined number of digitized frog figures are distributed about a center point using a random angle (0 – 359 degrees) and radius (a random polar coordinate). Then, at that location the frog image is rotated at a random angle (0 – 359 degrees). Unique to this piece I used a plotter alphabet I designed, called Kolobet, to title the drawing.

Frog Pond

This drawing uses the Elephant figure from a set of hand-digitized representational images. The full set consists of: Goose, Frog, Fat Cat and Elephant. I often used these interchangeable figures in my early works. Digitized representational image of an Elephant is placed at intervals along a space curve. Curves are generated by a mathematical function written by Christopher Scussel. The Elephant’s scale and orientation is based on data from the curve. The slope of the curve at a given point determines the direction of the bird figure. This is an early example of Generative Art. Many curves were drawn before this particular curves’ data set was determined. In essence, random to a point of being chosen by the artist.

Flying Elephants

This is regular grid tessellation made up of 9 columns x 7 rows of tiles. Each tile is an interpolation between a smaller inner square and the larger outer square that contains it. The number of in-betweens in this variation is fixed and the position of the small, contained square is allowed to vary. It is translated within the larger square both horizontally and vertically by an algorithm based on the sine trigonometric function.

Concentric Square Function

This was my very first computer graphic image I considered an original work of art. Both figures were initially drawn by hand, transferred to graph paper then converted to a list of coordinate pairs. Care was taken to make sure each figure had the same number of points and lifted the plotter pen in the same location. I used linear interpolation to make the transformation between the two figures. The full images were placed a certain distance apart in the plane of the paper on both ends. The Banana was at zero, the ice cream cone was at one. If I wanted to get an in-between image, I would use the computer and a linear interpolation algorithm to compute the in-between figure based on a fraction between 0 and 1. For example a fraction of 0.5 would give me an in-between that was 50% of one figure and 50% of the other, and its location would be exactly in the middle between the two figures. After several attempts I carefully choose the in-between fractions not leaving the transformation to chance.