In the first part of this paper a view is presented of what environmental planning is and how it can be implemented, providing in support a brief review of key literature on planning theory and practice. The review points to limited success in adapting mathematical programming techniques from operations research to the making of environmental planning decisions.
Computer scientists have long been interested in developing computer programs that solve problems and make decisions in the way that humans do. Over the last ten years most of this ‘artificial intelligence’ research has concentrated on knowledge-based systems and one variety of these systems, expert systems, has now been developed to the stage where it can be successfully applied to practical problems. In the second part of the paper the working of knowledge-based systems is briefly described, and the features that make them promising for planning purposes are introduced. These features can be summarized as (1) the handling of qualitative information, (2) the use of uncertain and incomplete information, (3) ease of modifying information on which decisions are based, (4) an ability to explain solutions and decisions, and (5) use of natural language for communication.
Different types of expert systems have been developed for such diverse tasks as design, classification, selection, and monitoring; tasks typically undertaken in environmental planning. In the third part of the paper ways in which these types of systems can be applied to the different stages of the planning task are suggested. Although it is too early to judge the likely success of these systems in practice, it is clear that they have the potential to overcome some of the deficiencies of earlier computerized decision aids.
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References
1.
AckoffR L, 1974, “Planning in the systems age”, in Systems and Management Annual Ed. AckoffR L (Petrocelli Books, New York) pp 179–203
2.
AlexanderE R, 1984, “After rationality, what? A review of responses to paradigm breakdown”Journal of the American Planning Association5062–69
3.
BabcockR F, 1966The Zoning Game (University of Wisconsin Press, Madison, WI)
4.
BarrAFeigenbaumE A, 1981The Handbook of Artificial Intelligence (Heuristic Press, Stanford, CA)
5.
BateyP W JBrehenyM J, 1978, “Methods in planning. Part II: A prescriptive review”Town Planning Review49502–517
6.
BateyP W JBrehenyM J, 1982, “The history of planning methodology: a framework for assessment of Anglo-American theory and practice” Geographical Papers number 79, Department of Geography, University of Reading, Reading, Berks
7.
BattyM, 1985, “Formal reasoning in urban planning: Computers, complexity, and mathematical”, in Rationality in Planning: Critical Essays on the Role of Rationality in Urban and Regional Planning Eds BrehenyMHooperA (Pion, London) pp 98–119
8.
BohanecMBratkoIRajkovicV, 1983, “An expert system for decision making”, in Processes and Tools for Decision Support Ed. SolH G (North-Holland, Amsterdam) pp 235–247
9.
BooseJ H, 1985, “Personal construct theory and the transfer of human expertise”, in Advances in Artificial Intelligence Ed. O'SheaT (Elsevier, Amsterdam) pp 51–60
10.
BoyceD EDayN DMcDonaldC, 1970, “Metropolitan plan making” Monograph Series 4, Regional Science Research Institute, Philadelphia, PA
11.
BrehenyM JHooperA J, (Eds), 1983Environment and Planning B10(1), special issue on in planning
12.
BrehenyM JHooperA J, (Eds), 1985Rationality in Planning: Critical Essays on the Role of Rationality in Urban and Regional Planning (Pion, London)
13.
BuchananB GBarstowDBechtelRBennettJClanceyWKulikowskiCMitchellTWatermanD A, 1983, “Constructing an expert system”, in Building Expert Systems Eds Hayes-RothFWatermanD ALenatD B (Addison-Wesley, Reading, MA) pp 127–168
14.
BuchananB GFeigenbaumE A, 1978, “DENDRAL and META-DENDRAL: Their applications”Artificial Intelligence115–24
15.
CarbonellJ G, 1979, “Subjective understanding: computer models of belief systems” RR150, Department of Computer Science, Yale University, New Haven, CT.
16.
ChadwickG F, 1966, “A systems view of planning”Journal of the Town Planning Institute52184–186
17.
ChadwickG, 1971A Systems View of Planning (Pergamon Press, Oxford)
18.
CompagnoniP T, 1986, “An environmental planning method for Australian jurisdictions? Comments on the SIRO-PLAN/LUPLAN schema”Environment and Planning B: Planning and Design13335–344
CoyneR DGeroJ S, 1985, “Design knowledge and sequential plans”Environment and Planning B: Planning and Design12401–418
21.
DavisJ RGrantI W, 1987, “ADAPT: A knowledge-based decision support system for zoning schemes”Environment and Planning B: Planning and Design1453–66
22.
DavisJ RHoareJ R LNanningaP M, 1986, “Developing a fire management expert system Kakadu National Park, Australia”Journal of Environmental Management22215–227
23.
DavisJ RNanningaP MWilliamsG J, in press, “The design of an expert system for management”, in Readings in Australian Geography: Proceedings of the 21st IAG Conference, Perth Ed. ConacherA, Institute of Australian Geographers (WA Branch) and Geography Department, University of Western Australia, Perth (forthcoming)
24.
DavisR, 1977, “Interactive transfer of expertise: Acquisition of new inference rules”, in Proceedings of the Fifth International Joint Conference on Artificial Intelligence (William Kaufmann, Los Altos, CA) pp 321–328
25.
DavisRBuchananB G, 1977, “Meta-level knowledge: Overview and applications”, in Proceedings of the Fifth International Joint Conference on Artificial Intelligence (William Kaufmann, Los Altos, CA) pp 920–927
26.
DavisRKingJ, 1977, “An overview of production systems”, in Machine IntelligenceVolume 8 Eds ElcockE WMichieD (John Wiley, New York) pp 300–332
27.
DickeyJ WMumbyEDoughtyJ, 1986, “Computer consultant systems: An application to of an urban housing cooperative”, in Advances in Urban Systems Modelling Eds HutchinsonBBattyM (Elsevier, Amsterdam) pp 351–371
28.
EastmanC, 1973, “Automated space planning”Artificial Intelligence441–64
29.
EtzioniA, 1967, “Mixed-scanning: A third approach to decision-making”Public Administration December issue; reprinted in A Reader in Planning Theory Ed. FaludiA, 1973 (Pergamon Press, Oxford) pp 217–229
30.
FaganL MKunzJ CFeigenbaumE AOsbornJ J, 1984, “Extensions to the rule-based for a monitoring task”, in Rule-Based Expert Systems Eds BuchananBShortliffeE (Addison-Wesley, Reading, MA) pp 397–423
31.
FaludiA, 1982, “Three paradigms of planning theory”, in Planning Theory: Prospects for the 1980s Eds HealeyPMcDougallGThomasM J (Pergamon Press, Oxford) pp 81–101
32.
FaludiA, 1985, “The return of rationality”, in Rationality in Planning: Critical Essays on the Role of Rationality in Urban and Regional Planning Eds BrehenyMHooperA (Pion, London) 27–47
33.
FeigenbaumE A, 1977, “The art of artificial intelligence: Themes and case studies of knowledge”, in Proceedings of the Fifth International Joint Conference on Artificial Intelligence (William Kaufmann, Los Altos, CA) pp 1014–1029
34.
FeigenbaumE AFeldmanJ, (Eds), 1963Computers and Thought (McGraw-Hill, New York)
35.
FreyP W, (Ed.), 1977Chess Skill in Man and Machine (Springer, New York)
36.
FriendJ K, 1983, “Reflections on rationality in strategic choice”Environment and Planning B: Planning and Design1063–69
37.
FriendJ KJessopN, 1977Local Government and Strategic Choice2nd edition (Pergamon Press, Oxford)
38.
GeddesP, 1915Cities in Evolution (London).
39.
Hayes-RothFWatermanD ALenatD B, 1983a, “An overview of expert systems”, in Building Expert Systems Eds Hayes-RothFWatermanD ALenatD B (Addison-Wesley, Reading, Mass) pp 3–29
40.
Hayes-RothFWatermanD ALenatD B, (Eds), 1983bBuilding Expert Systems (Addison-Wesley, Reading, MA)
41.
HillM A, 1968, “A goals-achievement matrix for evaluating alternative plans”Journal of the American Institute of Planners3419–29
42.
HillM, 1985, “Can multiple-objective evaluation methods enhance rationality in planning?”, Rationality in Planning: Critical Essays on the Role of Rationality in Urban and Regional Planning Eds BrehenyMHooperA (Pion, London) pp 166–182
43.
HudsonB M, 1979, “Comparison of current planning theories: Counterparts and contradictions”Journal of the American Planning Association45387–398
44.
KeenT RBellR C, 1981, “One thing leads to another: A new approach to elicitation in the grid technique”, in Recent Advances in Personal Construct Technology Ed. ShawM (Academic Press, New York) pp 81–94
45.
KellyG A, 1955The Psychology of Personal Constructs (W W Norton, New York)
46.
KnuthD E, 1973The Art of Computer Programming. Volume 3: Sorting and Searching (Addison-Wesley, Reading, MA)
47.
LangendorfR, 1985, “Computers and decision making”Journal of the American Planning Association51422–433
48.
LeeD B, 1973, “Requiem for large-scale computer models”American Institute of Planners Journal39163–178
49.
LenatD BSutherlandWGibbonsJ, 1982, “Heuristic search for new micro-circuit structures: Application of artificial intelligence”AI Magazine317–33
50.
LichfieldNKettlePWhitbreadM, 1975Evaluation in the Planning Process (Pergamon Press, Oxford).
51.
LindblomC E, 1959, “The science of ‘muddling through’”Public Administration1979–88; in A Reader in Planning Theory Ed. FaludiA, 1973 (Pergamon Press, Oxford) 151–169
52.
LindblomC E, 1965The Intelligence of Democracy: Decision Making by Mutual Adjustment (The Free Press, New York)
53.
LowryI S, 1964, “A short course in model design”Journal of the American Institute of Planners31158–165
54.
McCorduckP, 1979Machines Who Think (W H Freeman, San Francisco, CA)
McDermottJ, 1982, “R1: A rule-based configurer of computer systems”Artificial Intelligence1939–88
57.
McHargI L, 1969Design with Nature (The Natural History Press, New York)
58.
McLoughlinJ B, 1969Urban and Regional Planning: A Systems Approach (Faber and Faber, London).
59.
MarksjöB, 1986, “Expert systems for local government planning”, in Microcomputers for Local Government Planning and Management Eds NewtonP WTaylorM A P (Hargreen, Melbourne) 266–272
60.
MeyersonMBanfieldE C, 1955Politics, Planning and the Public Interest (The Free Press, Glencoe, IL)
61.
MillerA J, 1985, “DESIGN—a prototype expert system for design oriented problem solving”Australian Computer Journal1720–26
62.
MitchellT MSteinbergL IKedar-CabelliSKellyV EShulmanJWeinrichT, 1983, “An aid for circuit redesign”, in Proceedings of the National Conference on Artificial Intelligence (William Kaufmann, Los Altos, CA) pp 274–278
63.
NelsonW R, 1982, “REACTOR: An expert system for diagnosis and treatment of nuclear accidents”, in Proceedings of the National Conference on Artificial Intelligence (American Association for Artificial Intelligence, Pittsburgh, PA) pp 296–301
64.
NewellASimonH A, 1963, “GPS, a program that stimulates human thought”, in Computers and Thought Eds FeigenbaumE AFeldmanJ (McGraw-Hill, New York) pp 279–293
65.
NewellASimonH A, 1972Human Problem Solving (Prentice-Hall, Englewood Cliffs, NJ)
66.
NewellASimonH A, 1976, “Computer science as empirical enquiry: Symbols and search”Communications of the Association of Computing Machinery19113–126
67.
OpenshawSWhiteheadP T, 1977, “Decision-making in local plans: The DOT methodology a case study”Town Planning Review4829–41
68.
OzbekhanH, 1969, “Towards a general theory of planning”, in Perspectives of Planning Ed. JantschE (OECD, Paris) pp 47–155
69.
PereiraL MSabatierPOliveiraE, 1982, “ORBI—an expert system for environmental evaluation through natural language” Report UNL 3/82, Departmento de Informatica, Unversidade Alora de Lisboa, Portugal.
70.
PisanoA DJonesH L, 1984, “An expert system approach to adaptive tactical navigation”, Proceedings of the First Conference on Artificial Intelligence Applications (IEEE, New York) 460–464
71.
PradeH, 1983, “A synthetic view of approximate reasoning techniques”, in Proceedings of the Eighth International Joint Conference on Artificial Intelligence Karlsruhe West Germany (William Kaufmann, Los Altos, CA) pp 130–136
72.
PutmanS H, 1975, “Urban land use and transportation models: A state-of-the-art summary”Transportation Research9187–202
73.
RiegerCStanfillC, 1980, “Real time causal monitors for complex physical sites”, in Proceedings of the First Annual National Conference on Artificial Intelligence (William Kaufmann, Los Altos, CA) pp 215–217
74.
RodewaldL E, 1984, “BABY: an expert system for patient monitoring in a newborn care unit” MSc thesis, Computer Science Department, University of Illinois, Urbana-Champaign, IL
75.
RosenheadJ, 1986, “Custom and practice”Journal of the Operations Research Society37335–343
76.
SacerdotiE D, 1974, “Planning in a hierarchy of abstraction spaces”, Artificial Intelligence5115–135
SchlagerK J, 1965, “A land use plan design model”American Institute of Planners Journal31103–111
79.
SimonH, 1947Administrative Behaviour (Macmillan, New York)
80.
SimonH A, 1957Administrative Behaviour (Macmillan, New York)
81.
SimonH A, 1983Reason in Human Affairs (Basil Blackwell, Oxford)
82.
SmithP, 1974, “The use of the potential surface technique in sub-regional planning” Geographical Papers 30, Department of Geography, University of Reading, Reading, Berks
83.
SmithT R, 1984, “Artificial intelligence and its applicability to geographical problem solving”Professional Geographer36147–158
84.
StefikM, 1978, “Inferring DNA structures from segmentation data”Artificial Intelligence1185–114
85.
StefikM, 1981, “Planning with constraints (MOLGEN: Part 1)”Artificial Intelligence16111–139
86.
StefikMAtkinsJBalzarRBenoitJBirnbaumLHayes-RothFSacerdotiE, 1983a, “Basic concepts for building expert systems”, in Building Expert Systems Eds Hayes-RothFWatermanD ALenatD B (Addison-Wesley, Reading, MA) pp 59–86
87.
StefikMAtkinsJBalzarRBenoitJBirnbaumLHayes-RothFSacerdotiE, 1983b, “The of expert systems”, in Building Expert Systems Eds Hayes-RothFWatermanD ALenatD B (Addison-Wesley, Reading, MA) pp 89–126
88.
SteinitzCParkerPJordanL, 1976, “Hand-drawn overlays: Their history and prospective”Landscape Architecture66444–455
89.
SuwaMScottC AShortliffeE H, 1982, “Completeness and consistency in a rule-based”AI Magazine316–21
90.
TsatsoulisCFuK-S, 1985, “Modelling rule-based systems by stochastic programmed systems”Information Sciences36207–230
91.
VesonderG TStolfoS JZielinskiJ EMillerF DCoppD H, 1983, “ACE: An expert for telephone cable maintenance”, in Proceedings of the Eighth International Joint Conference on Artificial Intelligence Ed. BundyA (William Kaufmann, Los Altos, CA) 116–121
92.
WalkerR A, 1941The Planning Function in Urban Government (University of Chicago Press, Chicago, IL)
93.
WeissS MKulikowskiC A, 1984A Practical Guide to Designing Expert Systems (Rowman and Allanheld, Totowa, NJ)
94.
WeizenbaumJ, 1966, “ELIZA—a computer program for the study of natural language between man and machine”Communications of the Association of Computing Machinery936–45
95.
WilenskyR, 1983Planning and Understanding (Addison-Wesley, Reading, MA)
