Is Abstraction the Key to Computing?

Total Page:16

File Type:pdf, Size:1020Kb

Is Abstraction the Key to Computing? IS ABSTRACTION THE KEY TO COMPUTING? Why is it that some software engineers and computer scientists are able to produce clear, elegant designs and programs, while others cannot? Is it possible to improve these skills through education and training? Critical to these questions is the notion of abstraction. By JEFF KRAMER For over 30 years, I have been involved in teaching and research in computer science and software engineering. My teaching experience ranges from courses in programming, to distributed systems, distributed algorithms, concurrency, and software design. All these courses require that students are able to perform problem solving, conceptualization, modeling, and analysis. My experience is that the better students are clearly able to handle complexity and to produce elegant models and designs. The same students are also able to cope with the complexities of distributed algorithms, the applicability of various modeling notations, and other subtle issues. 36 April 2007/Vol. 50, No. 4 COMMUNICATIONS OF THE ACM COMMUNICATIONS OF THE ACM April 2007/Vol. 50, No. 4 37 On the other hand, there Henri Matisse manages to clearly represent the be misleading if used for other purposes. The under- are a number of students essence of his subject, a naked woman, using only ground map is sometimes misused by tourists who who are not so able. They simple lines or cutouts. His representation removes misinterpret it as an actual geographical map of Lon- tend to find distributed algo- all detail yet conveys much. In his painting “South don. The level, benefit, and value of a particular rithms very difficult, do not Wind, Clear Skies” (Red Fuji), Katsushika Hokusai abstraction depend on its purpose. appreciate the utility of mod- captures Mount Fuji (see Figure 2). Art critic Why is abstraction important in computer science eling, find it difficult to iden- (Gabrielle Farran) remarks that he uses a “perfect and software engineering? Software itself is certainly tify what is important in a balance of colour and composition rendering an abstract, and the discipline of producing software problem, and produce convo- abstract form of the mountain to capture its requires abstraction skills. Keith Devlin [2] states the luted solutions that replicate essence.” Another example is from jazz, where musi- case clearly and concisely, “Once you realize that com- the problem complexities. cians identify the essential melody or heart of the puting is all about constructing, manipulating, and Why? What is it that makes particular piece of music, and improvise around that reasoning about abstractions, it becomes clear that an the good students so able? to provide their own embellishments. One jazz important prerequisite for writing (good) computer What is lacking in the weaker musician provided the follow- ones? Is it some aspect of intel- ing apposite remark, “It is ligence? I believe the key lies in easy to make something sim- abstraction: The ability to per- ple sound complex, however form abstract thinking and to it is more difficult to make exhibit abstraction skills. something complex sound The rest of this article simple.” This difficulty is a explores this hypothesis and clear example of the challenge makes recommendations for in the application of abstrac- future work. We first discuss tion in removing extraneous what abstraction is and its detail. role in computing and other A wonderful example of the disciplines. Others, such as utility of abstraction is pro- Hazzan [5] and Devlin [2] vided by the contribution of have also discussed abstrac- Harry Beck to the renowned tion as a core skill in mathe- London Underground map. In matics and computing. 1928, the map was essentially Using findings from cogni- an overlay of the underground tive development, we explore system onto a conventional the factors affecting students’ geographical map of London ability to cope with and per- (see Figure 3a). It showed the Figure 2. Katsushika programs is the ability to handle abstractions in a pre- Hokusai, “South Wind, form abstraction. We discuss curves of the train lines and of Clear Sky (Gaif˚ kaisei) or cise manner.” Wing [11] confirms the importance of whether or not abstraction is the River Thames, and the rel- “Red Fuji,” a color abstraction in computational thinking by emphasiz- teachable and suggest that ative distances between the woodblock print, Japan, ing the need to think at multiple levels of abstraction. AD 1830–33. steps must be taken to test stations. In 1931, Beck pro- Ghezzi et al. [4] identify abstraction as one of the fun- abstraction skills as a means duced the first abstract, damental principles of software engineering in order Figure 1. Henri Matisse, of validating our hypothesis, “Naked Blue IV,” 1952; • The act or process of leaving out of consideration schematic representation, simplifying the curves to to master complexity. The removal of unnecessary checking our teaching tech- paper cutouts. one or more properties of a complex object so as just horizontal, vertical and diagonal lines and where detail is obvious in requirements engineering and niques and even, perhaps, to attend to others. the distances between stations were no longer propor- software design. selecting our students. tional to the geographical distances (see Figure 3b). Requirements elicitation involves identifying the The second emphasizes the process of generalization This form of simplified representation or abstrac- critical aspects of the environment and the required ABSTRACTION:WHAT IS IT?WHY IS IT SO IMPORTANT? to identify the common core or essence based on the tion is ideally fit for the purpose of navigating around system while neglecting the irrelevant. Design From the definitions of abstraction [10], we focus definitions: the London Underground. Not only is this transit requires that one avoid unnecessary implementation on two particularly pertinent aspects.1 The first abstraction still used today, it has been adopted by constraints. For instance, in compiler design, one emphasizes the process of removing detail to sim- • The process of formulating general concepts by transportation agencies in numerous countries. often employs an abstract syntax to focus on the plify and focus attention based on the definitions: abstracting common properties of instances, and; Indeed, the level of abstraction had to be carefully essential features of the language constructs, and •A general concept formed by extracting common selected so as to include only the required details but designs the compiler to produce intermediate code for • The act of withdrawing or removing something, features from specific examples. neglect the unnecessary—too abstract and the map an idealized abstract machine to retain flexibility and and; would not provide sufficient information for the pur- avoid unnecessary machine dependence. The general- Abstraction is widely used in other disciplines such pose; too detailed and the map becomes confusing ization aspect of abstraction can be clearly seen in pro- 1 © Succession H. Matisse/DACS 2005 See [3] for an interesting discussion on the faces of abstraction. as art and music. For instance, as shown in Figure 1, and less comprehensible. Like any abstraction, it can gramming with the use of data abstractions and © The Trustees of the British Museum 38 April 2007/Vol. 50, No. 4 COMMUNICATIONS OF THE ACM COMMUNICATIONS OF THE ACM April 2007/Vol. 50, No. 4 39 On the other hand, there Henri Matisse manages to clearly represent the be misleading if used for other purposes. The under- are a number of students essence of his subject, a naked woman, using only ground map is sometimes misused by tourists who who are not so able. They simple lines or cutouts. His representation removes misinterpret it as an actual geographical map of Lon- tend to find distributed algo- all detail yet conveys much. In his painting “South don. The level, benefit, and value of a particular rithms very difficult, do not Wind, Clear Skies” (Red Fuji), Katsushika Hokusai abstraction depend on its purpose. appreciate the utility of mod- captures Mount Fuji (see Figure 2). Art critic Why is abstraction important in computer science eling, find it difficult to iden- (Gabrielle Farran) remarks that he uses a “perfect and software engineering? Software itself is certainly tify what is important in a balance of colour and composition rendering an abstract, and the discipline of producing software problem, and produce convo- abstract form of the mountain to capture its requires abstraction skills. Keith Devlin [2] states the luted solutions that replicate essence.” Another example is from jazz, where musi- case clearly and concisely, “Once you realize that com- the problem complexities. cians identify the essential melody or heart of the puting is all about constructing, manipulating, and Why? What is it that makes particular piece of music, and improvise around that reasoning about abstractions, it becomes clear that an the good students so able? to provide their own embellishments. One jazz important prerequisite for writing (good) computer What is lacking in the weaker musician provided the follow- ones? Is it some aspect of intel- ing apposite remark, “It is ligence? I believe the key lies in easy to make something sim- abstraction: The ability to per- ple sound complex, however form abstract thinking and to it is more difficult to make exhibit abstraction skills. something complex sound The rest of this article simple.” This difficulty is a explores this hypothesis and clear example of the challenge makes recommendations for in the application of abstrac- future work. We first discuss tion in removing extraneous what abstraction is and its detail. role in computing and other A wonderful example of the disciplines. Others, such as utility of abstraction is pro- Hazzan [5] and Devlin [2] vided by the contribution of have also discussed abstrac- Harry Beck to the renowned tion as a core skill in mathe- London Underground map. In matics and computing.
Recommended publications
  • Abstraction and the Origin of General Ideas with Broadly Nominalistic Scruples, While Others (E
    Philosophers’ volume 12, no. 19 1. Introduction 1 Imprint december 2012 Given their opposition to innate ideas, philosophers in the empiricist tradition have sought to explain how the rich and multifarious representational capacities that human beings possess derive from experience. A key explanatory strategy in this tradition, tracing back at least as far as John Locke’s An Essay Concerning Human Understanding, is to maintain that the acquisition of many of these Abstraction and the capacities can be accounted for by a process of abstraction. In fact, Locke himself claims in the Essay that abstraction is the source of all general ideas (1690/1975, II, xii, §1). Although Berkeley and Hume were highly critical of Locke, abstraction as a source of generality has Origin of General Ideas been a lasting theme in empiricist thought. Nearly a century after the publication of Locke’s Essay, for example, Thomas Reid, in his Essays on the Intellectual Powers of Man, claims that “we cannot generalize without some degree of abstraction…” (Reid 1785/2002, p. 365). And more than a century later, Bertrand Russell remarks in The Problems of Philosophy: “When we see a white patch, we are acquainted, in the first instance, with the particular patch; but by seeing many white patches, we easily learn to abstract the whiteness which they all have in common, and in learning to do this we are learning to be acquainted with whiteness” (Russell 1912, p. 101). Stephen Laurence Despite the importance of abstraction as a central empiricist University of Sheffield strategy for explaining the origin of general ideas, it has never been clear exactly how the process of abstraction is supposed to work.
    [Show full text]
  • Georgia O'keeffe Museum
    COLLABORATIVE ABSTRACTION Grades: K-12 SUMMARY: Georgia O’Keeffe is known for her abstract flowers, landscapes, architecture and the sky. She would find the most interesting lines and colors in the world around her and simplify nature down to a series of organic shapes and forms. In this fun and fast-paced lesson, students will consider the concept and process of abstraction, collaboratively creating a line drawing that will become an abstract painting. This lesson is meant to be flexible. Please adapt for the level of your students and your individual curriculum. GUIDING QUESTIONS: Pelvis Series, Red with Yellow, 1945 What is abstraction? Georgia O’Keeffe Oil on canvas MATERIALS: 36 1/8 x 48 1/8 (91.8 x 122.2) Extended loan, private collection (1997.03.04L) Watercolor paper © Georgia O’Keeffe Museum Watercolor paints Paint brushes Cups of water LEARNING OBJECTIVES: Students will… Closely observe, analyze and interpret one of Georgia O’Keeffe’s abstract paintings Define the word abstraction and how it relates to visual art Work together to make collaborative abstract line drawings Individually interpret their collaborative line drawings and create a successful final composition Present their final compositions to the class Accept peer feedback INSTRUCTION: Engage: (5 min) Ask students to sketch the shapes they see in Pelvis Series, Red and Yellow by Georgia O’Keeffe (attached or found at https://www.okeeffemuseum.org/education/teacher-resources/) and write a short paragraph on what they see in the painting and what they think might be happening in the painting. Compare notes as a class and share the title of the painting.
    [Show full text]
  • Choose the Appropriate Level of Abstraction
    SAGE Flex for Public Speaking Choose the Appropriate Level of Abstraction Brief: Using abstract words can make a concept easier to communicate, but it breaks the connection to the specific meaning that we want to convey. Learning Objective: Understand how to choose the appropriate level of abstraction. Key Terms: • Abstraction: The process of perceiving similarities from our direct, specific observations of things around us, organizing the similarities, and then assigning a word label for the more general concept. • Abstraction Ladder: A concept developed by communication theorist S.I. Hayakawa, who compared levels of abstraction to a ladder, with the most specific concept at the bottom rung and the most abstract concept at the top rung. What is Abstraction? One of the ways we can attempt to make difficult information easier to understand is to simplify our word choices. To make our words more general, we use a higher level of abstraction. Abstraction is the process of perceiving similarities from our direct, specific observations of things around us, organizing the similarities, and then assigning a word label for the more general concept. From Granny Smiths to Produce Apples, oranges, bananas, pears…. Imagine how time consuming and confusing it would be to name each of these ingredients every time you talked about a fruit salad. Thankfully, you can use the general term fruit when you describe this dish. Now, imagine you’re trying to direct someone where to find fruit in a supermarket. Instead of using the name for each individual fruit or the general category of fruit, you’ll probably suggest they look in the produce department.
    [Show full text]
  • Collective Intelligence of Human Conversational Text K
    ISSN 2394-3777 (Print) ISSN 2394-3785 (Online) Available online at www.ijartet.com International Journal of Advanced Research Trends in Engineering and Technology (IJARTET) Vol. 3, Special Issue 20, April 2016 COLLECTIVE INTELLIGENCE OF HUMAN CONVERSATIONAL TEXT K. Bhuvaneswari Dr. K. Saravanan Research Scholar Research Advisor Department of Computer Science Dean, Academic Affairs PRIST University Department of Computer Science Thanjavur PRIST University, Thanjavur Abstract: Collective intelligence refers to the order to reveal themes relevant to collective intelligence. intelligence that emerges from local interactions Three levels of abstraction were identified in discussion among individual people. In the last few decades, web about the phenomenon: the micro-level, the macro-level 2.0 technologies have enabled new forms of collective and the level of emergence. Recurring themes in the intelligence that allow massive numbers of loosely literature were categorized under the abovementioned organized individuals to interact and create high framework and directions for future research were quality intellectual artefacts.Our analysis reveals a set identified. of research gaps in this area including the lack of focus on task oriented environments, the lack of sophisticated The selection of literature for this review methods to analyse the impact of group interaction follows the approach of Zott et al. (2011). A keyword process on each other, as well as the lack of focus on search was conducted on the Web of Knowledge on 7 the study of the impact of group interaction processes July 2011 using the keywords, collective intelligence and on participants over time. swarm intelligence. The searches produced 405 and 646 results, respectively.
    [Show full text]
  • The Politics of Abstraction: Race, Gender, and Slavery in the Poetry of William Blake
    University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Masters Theses Graduate School 8-2006 The Politics of Abstraction: Race, Gender, and Slavery in the Poetry of William Blake Edgar Cuthbert Gentle University of Tennessee, Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_gradthes Part of the English Language and Literature Commons Recommended Citation Gentle, Edgar Cuthbert, "The Politics of Abstraction: Race, Gender, and Slavery in the Poetry of William Blake. " Master's Thesis, University of Tennessee, 2006. https://trace.tennessee.edu/utk_gradthes/4508 This Thesis is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Masters Theses by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a thesis written by Edgar Cuthbert Gentle entitled "The Politics of Abstraction: Race, Gender, and Slavery in the Poetry of William Blake." I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment of the equirr ements for the degree of Master of Arts, with a major in English. Nancy Goslee, Major Professor We have read this thesis and recommend its acceptance: ARRAY(0x7f6ff8e21fa0) Accepted for the Council: Carolyn R. Hodges Vice Provost and Dean of the Graduate School (Original signatures are on file with official studentecor r ds.) To the Graduate Council: I amsubmitting herewith a thesis written by EdgarCuthbert Gentle entitled"The Politics of Abstraction: Race,Gender, and Slavery in the Poetryof WilliamBlake." I have examinedthe finalpaper copy of this thesis forform and content and recommend that it be acceptedin partialfulfillm ent of the requirements for the degree of Master of Arts, with a major in English.
    [Show full text]
  • The Value of Abstraction
    The Value of Abstraction Mark K. Ho David Abel Princeton University Brown University Thomas L. Griffiths Michael L. Littman Princeton University Brown University Agents that can make better use of computation, experience, time, and memory can solve a greater range of problems more effectively. A crucial ingredient for managing such finite resources is intelligently chosen abstract representations. But, how do abstractions facilitate problem solving under limited resources? What makes an abstraction useful? To answer such questions, we review several trends in recent reinforcement-learning research that provide in- sight into how abstractions interact with learning and decision making. During learning, ab- straction can guide exploration and generalization as well as facilitate efficient tradeoffs—e.g., time spent learning versus the quality of a solution. During computation, good abstractions provide simplified models for computation while also preserving relevant information about decision-theoretic quantities. These features of abstraction are not only key for scaling up artificial problem solving, but can also shed light on what pressures shape the use of abstract representations in humans and other organisms. Keywords: abstraction, reinforcement learning, bounded rationality, planning, problem solving, rational analysis Highlights Introduction • Agents with finite space, time, and data can benefit In spite of bounds on space, time, and data, people are from abstract representations. able to make good decisions in complex scenarios. What en- ables us to do so? And what might equip artificial systems to • Both humans and artificial agents rely on abstractions do the same? One essential ingredient for making complex to solve complex problems. problem solving tractable is a capacity for exploiting abstract representation.
    [Show full text]
  • Abstraction Functions
    Understanding an ADT implementation: Abstraction functions CSE 331 University of Washington Michael Ernst Review: Connecting specifications and implementations Representation invariant : Object → boolean Indicates whether a data structure is well-formed Only well-formed representations are meaningful Defines the set of valid values of the data structure Abstraction function : Object → abstract value What the data structure means (as an abstract value) How the data structure is to be interpreted How do you compute the inverse, abstract value → Object ? Abstraction function: rep → abstract value The abstraction function maps the concrete representation to the abstract value it represents AF: Object → abstract value AF(CharSet this) = { c | c is contained in this.elts } “set of Characters contained in this.elts” Typically not executable The abstraction function lets us reason about behavior from the client perspective Abstraction function and insert impl. Our real goal is to satisfy the specification of insert : // modifies: this // effects: this post = this pre U {c} public void insert (Character c); The AF tells us what the rep means (and lets us place the blame) AF(CharSet this) = { c | c is contained in this.elts } Consider a call to insert: On entry , the meaning is AF(this pre ) ≈ elts pre On exit , the meaning is AF(this post ) = AF(this pre ) U {encrypt('a')} What if we used this abstraction function? AF(this) = { c | encrypt(c) is contained in this.elts } = { decrypt(c) | c is contained in this.elts } Stack rep: int[] elements ;
    [Show full text]
  • Increasing Creativity in Design by Functional Abstraction
    Increasing creativity in design by functional abstraction Manavbir Sahani Honors Thesis Human-Computer Interaction David Kirsh Scott Klemmer Steven Dow Michael Allen (Primary Advisor) (Graduate Advisor) ABSTRACT Opinion is divided, and conflicting literature is found on With advancements in big data, designers now have access to whether and under what conditions do examples fixate or in- design tools and ideation platforms that make it easy for them spire. There are studies that show that there is a design fixation to review hundreds of examples of related designs. But how effect by viewing examples [2]. And there is literature that can designers best use these examples to come up with creative argues that showing examples leads to more creative designs and innovative solutions to design and engineering problems? [3]. The existence of both positive and negative effects make it Building off creative cognition literature, we present an ap- harder to judge if and how the exposure to examples increase proach to increase creativity in design by making people think productivity for designers [4]. This inconclusiveness and di- more abstractly about the functions of the product in their vide in opinion exists in architecture too. In some architectural design problem through morphological concept generation. schools, the review of previous designs, especially excellent We tested this mechanism with an experiment in which the ones, is thought to inhibit imagination, squelching creativity. treatment and control condition had the same design task with Viewing previous work primes the mind to duplicate the past, the same examples for the same amount of time. The results making it harder to think freshly, appropriating the problem supported our claim and showed that the treatment condition completely.
    [Show full text]
  • On the Necessity of Abstraction
    Available online at www.sciencedirect.com ScienceDirect On the necessity of abstraction George Konidaris A generally intelligent agent faces a dilemma: it requires a as if it is a natural part of the environment. That is complex sensorimotor space to be capable of solving a wide perfectly appropriate for a chess-playing agent, but it range of problems, but many tasks are only feasible given the finesses a problem that must be solved by a general- right problem-specific formulation. I argue that a necessary purpose AI. but understudied requirement for general intelligence is the ability to form task-specific abstract representations. I show Consider one particular general-purpose agent that that the reinforcement learning paradigm structures this reasonably approximates a human—a robot with a question into how to learn action abstractions and how to native sensorimotor space consisting of video input learn state abstractions, and discuss the field’s progress on and motor control output—and the chessboards shown these topics. in Figure 1. Those chessboards are actually perceived by the robot as high-resolution color images, and the Address only actions it can choose to execute are to actuate the Computer Science Department, Brown University, 115 Waterman Street, motors attached to its joints. A general-purpose robot Providence, RI 02906, United States cannot expect to be given an abstract representation suitable for playing chess, just as it cannot expect to be Corresponding author: Konidaris, George ([email protected]) given one that is appropriate for scheduling a flight, playing Go, juggling, driving cross-country, or compos- Current Opinion in Behavioral Sciences 2019, 29:xx-yy ing a sonnet.
    [Show full text]
  • Concrete and Specific Language
    CONCRETE AND SPECIFIC LANGUAGE Effective writers use and mix language at all levels of abstraction, so we must learn to use language on all levels. But first, it's important to understand what is meant by abstract and concrete language and also by general and specific language. In brief, we conceive the abstract though our mental processes and perceive the concrete through our senses. ■Abstract vs. Concrete Language Abstract words refer to intangible qualities, ideas, and concepts. These words indicate things we know only through our intellect, like "truth," "honor," "kindness," and "grace." Concrete words refer to tangible, qualities or characteristics, things we know through our senses. Words and phrases like "102 degrees," "obese Siamese cat," and "deep spruce green" are concrete. ABSTRACT: To excel in college, you’ll have to work hard. CONCRETE: To excel in college, you’ll need to do go to every class; do all your reading before you go; write several drafts of each paper; and review your notes for each class weekly. ■General vs. Specific Language General words refer to large classes and broad areas. "Sports teams," "jobs," and "video games" are general terms. Specific words designate particular items or individual cases, so "ISU Bengals," chemistry tutor," and "Halo" are specific terms. GENERAL: The student enjoyed the class. SPECIFIC: Kelly enjoyed Professor Sprout's 8:00 a.m. Herbology class. ■The Ladder of Abstraction Most words do not fall nicely into categories; they’re not always either abstract or concrete, general or specific. Moreover, the abstract and general often overlap, as do the concrete and specific.
    [Show full text]
  • 1990-Learning Abstraction Hierarchies for Problem Solving
    From: AAAI-90 Proceedings. Copyright ©1990, AAAI (www.aaai.org). All rights reserved. Learning Abstraction Hierarchies for Problem Solving Craig A. Knoblock* School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 [email protected] Abstract consists of a set of operators with preconditions and ef- fects, and a problem to be solved, ALPINE reformulates The use of abstraction in problem solving is an this space into successively more abstract ones. Each effective approach to reducing search, but finding abstraction space is an approximation of the original good abstractions is a difficult problem, even for problem space (base space), formed by dropping lit- people. This paper identifies a criterion for se- erals in the domain. The system determines what to lecting useful abstractions, describes a tractable abstract based on the ordered monotonicity property. algorithm for generating them, and empirically This property separates out those features of the prob- demonstrates that the abstractions reduce search. lem that can be solved and then held invariant while The abstraction learner, called ALPINE, is inte- the remaining parts of the problem are solved. Since grated with the PRODIGY problem solver [Minton this property depends on the problem to be solved, et ab., 1989b, Carbonell et al., 19901 and has been ALPINE produces abstraction hierarchies that are tai- tested on large problem sets in multiple domains. lored to the individual problems. The paper is organized as follows. The next sec- Introduction tion defines the ordered monotonicity property. The third section describes the algorithm for generating ab- Hierarchical problem solving uses abstraction to re- straction hierarchies in ALPINE.
    [Show full text]
  • Conjoining Gestalt Rules for Abstraction of Architectural Drawings
    Conjoining Gestalt Rules for Abstraction of Architectural Drawings Liangliang Nan 1 Andrei Sharf Ke Xie1 Tien-Tsin Wong3 Oliver Deus sen" Daniel Cohen-Or5 Baoquan Chen1 1 SlAT 2 Ben Gurion Univ. 3 CUHK 4 Konstanz Univ. 5 Tel Aviv Univ. Figure 1: Simplification a/a cOlllplex cityscape line-drawing obtained [(sing o/./ /" Gestalt-based abstraction. Abstract those of architectural models. Our approach to abstracting shape directly aims to clarify shape and preserve meaningful structures We present a method for structural summari zation and abstraction using Gestalt principles. of complex spatial arrangements found in architectural draw in gs. Thc wdl-knllwn Gcstalt principles hy Wcrthciml:r rI 92:1 ], rdkct The method is based on the well -known Gestalt rules, which sum­ strategies of the human vi sual system to group objects into forms mari ze how form s, pattern s, and semantics are perceived by humans and create internal representations for them. Wheneve r groups of I"rOI11 hits and pi ccl:s 0 1" gl:o l11 l: tri c inl"ormati on. Although defining visual element have one or several characteristics in common, they a computational model for each rul e alone has been extensively s­ get grouped and form a new larger vi sual object - a gestalt. Psychol­ tudied, modeling a conjoint of Gestalt rules remains a challenge. ogists have tried to simulate and model these principles, by find in g In thi s work, we develop a computational framework which mod­ computational means to predict wh at human perceive as gestalts in els Gestalt rules and more importantly, their complex interaction­ images.
    [Show full text]