Lexicon

Abject
Accretion
Actant
Aeration
Aerobic
Algae-boosted
Animal
Anthropomorphism
Anti-Continuous Construction
Apocalypse
Aquaculture
Aquanaut
Ark
Artificial Intelligence
Autopoiesis
Assemblages
Asymmetry
Atrophy
Attraction
Autarchy
Automata
Automation
Autosymbiosis
Bambassador
Bathyscaphe
Bioconurbation
Biomedia
Bionics
Biosphere
Biotechnique
By-product
Capacity
Actant
Coisolation
Composting
Conservative Surgery
Consumer Envelope
Consumption
Continuous Construction
Conurbation
Correalism
Cultural_Memory
Cybernetics
Cybertecture
Cyborg
Dispositif
Diving Saucer
Dross
Earthship
Ecocatastrophe
Effluvium
Egosphere
End-use
Entanglement
Eutopia
Feedback
Foam
Folk
Gadget
Garbage House
Green Cyborg
Heuristic
Hoard
Holism
Homogenization of Desire
Hostile
Human Affect
Hybridized Folk
Hydroponic
Hyper-Materialism
Information Economy
Inner Space
Interama
Intra-Uterine
Maque
Megalopolis
Min-use
Mobility
Monorail
Multi-Hinge
Non-Design
Oceanaut
Oppositional Consciousness
Organic
Ouroboros
Panarchy
Parasite
Perceived Continuation
Permanence
Place
Prototype
Post-Animal
Reclamation
RI: Data Farms
RI: Garbage and Animals
RI:Shipbreaking
RI: Toxic Sublime
Sampling
Scale
Sensing Structure
Simulacrum
Simulation
Soft Energy
Spaceship Earth
Submersible
Superwindow
Symbiosis
Synthetic Environment
Technocratic
Technological Heredity
Technological Sublime
Telechirics
The Sublime
Thermal Panel
Actant
Thing-Power
Thinking Machines
Tool
Toxic Withdrawal
Turbulence
UV-Transparent Film
Vibrant Matter
Waste
Work

Heuristic

Heuristic Method (n.) The heuristic method is a method of problem solving, learning or discovery of reaching a sufficient immediate goal through practical methodology, but not a guaranteed optimal or perfect goal. It can be used as a sort of shortcut in a decision making process. Where finding an optimal solution is impossible or impractical with the heuristic methods, it is used to to speed up the process of finding a satisfactory solution. There are various forms of the heuristic method: educated guess, rule of thumb, working backwards, common sense, etc. Knowing these can be beneficial for problem solving in various situations in multiple fields on studies. Heuristics is done using applicable data that is readily available to dictate problem solving in both human beings and machines. Negroponte talks about the implementation of the heuristic method in the development and growth of the artificial intelligence. He thinks in the evolutionary machine (AI), the heuristic method has to be implemented to yield results in a timely manner. 1 It allows for the evolutionary machine to lend itself to personalization via the input of one designer or possibly many. 1 The heuristic method is mainly used in the beginning when the robot is “learning”, but reapplied constantly to continue its evolution.

1. Nicholas Negroponte, “Toward a Theory of Architecture Machines,” in The Journal of Architectural Education (1947-1974), Vol. 23, No. 2 (Mar., 1969), 10.
2. Ibid.