11 OrgsSimAndReal

Information about 11 OrgsSimAndReal

Published on November 22, 2007

Author: Flemel

Source: authorstream.com

Content

Organisms, Simulated & Real:  Organisms, Simulated & Real Lecture 11 I400/I590 Artificial Life as an approach to Artificial Intelligence Larry Yaeger Professor of Informatics, Indiana University Simulacra:  Simulacra Historically, there have been many legends of living statues, magical pictures, dolls, icons, robots, and automata that represent or embody the living Not until the electronic age have people attempted to emulate the nervous system While neural activations may be effectively binary, alternative, analog simulations may also have much to contribute to the understanding of living systems Ross Ashby:  Ross Ashby Ross Ashby, author of Design for a Brain (1952) and Introduction to Cybernetics (1956), declared a system’s ability to maintain stability and adapt, in the face of novel stimuli, as a defining attribute of life He described the stability of living systems, then, in terms of self-regulatory feedback, and related complex adaptive behavior to complex self-regulation Variety absorbs variety “Only variety in R can force down variety due to D; only variety can destroy variety.” Where R is a regulator and D a disturbance in Ashby’s parlance Homeostat:  Homeostat Ashby designed a “Homeostat” device, consisting of four pivoting magnets, motion constraints, and various electrical connections and switches, to demonstrate what he called an “ultrastable” system—one that would return to homeostasis regardless of the magnitude of its perturbations Homeostat:  Homeostat http://www.hrat.btinternet.co.uk/Homeostat.html Early Cyberneticians:  Early Cyberneticians Ross Ashby, Warren McCulloch, W. Grey Walter, Norbert Weiner W. Grey Walter:  W. Grey Walter Walter Grey Walter, author of The Living Brain (1953), experimented with electro-mechanical “turtles” Family “Machina Speculatrix” Genus “Testudo” (tortoise) Built between Easter 1948 and Christmas 1949, the first two of these turtles were Elmer and Elsie, after ELectro MEchanical Robots, Light-Sensitive, with Internal and External stability “Stability” may have been related to Ashby’s homeostasis “External” might be intended to distinguish Testudo from Homeostat Machina Speculatrix / Testudo:  Machina Speculatrix / Testudo Testudo annotatus:  Testudo annotatus Elsie:  Elsie Testudo bristol (Smithsonian):  Testudo bristol (Smithsonian) Testudo legos:  Testudo legos Testudo bristol with Hutch:  Testudo bristol with Hutch Basic Exploratory Behavior:  Basic Exploratory Behavior Attraction to Light:  Attraction to Light Multiple Lights:  Multiple Lights Charging Home:  Charging Home Obstacle Avoidance:  Obstacle Avoidance The Mirror Dance:  The Mirror Dance Elmer and Elsie Dance:  Elmer and Elsie Dance Home Sweet Home:  Home Sweet Home Non-Human Intelligence:  Non-Human Intelligence Animal cognition and intelligence is a tricky subject Even human cognition may not be anything more than adaptive, associative behavior Animal intelligence and cognition studies often place onerous and contentious constraints on their experiments and the interpretation of those experiments “parsimonious” often means any explanation that avoids the phenomenon under investigation In particular, animal experimenters often fail to account for differences between lab and field, or design tasks bearing little or no relation to animals’ evolved behavioral repertoire Some studies deny various aspects of animal intelligence (by those studies’ definitions), others clearly confirm those and other aspects Animal Intelligence:  Animal Intelligence Laboratory evidence exists for self-awareness in humans, chimpanzees, orangutans, and more recently elephants, based on the classic red-dot and mirror test (or white cross and very large mirror) Behaviorist accounts of associative learning in animals are extensive Mice with larger (genetically enhanced) brains solve more complicated behavioral tasks Scrub jays and ravens exhibit caching behaviors that take into account their own experience and the experience of conspecifics, and have demonstrated future planning Washoe the chimp and Koko the gorilla have learned American Sign Language, and invent new combinations of words for novel situations Kanzi the bonobo ape has learned hundreds of lexigrams and correlates them with an apparent understanding of several thousand English words Animal Intelligence:  Animal Intelligence Anecdotal evidence abounds Yet everyone is aware of the “Clever Hans” effect And anthropomorphism is difficult to eliminate Koko the Gorilla:  Koko the Gorilla Dolphins:  Dolphins Alex the Parrot:  Alex the Parrot Betty the Crow:  Betty the Crow Insect Intelligence:  Insect Intelligence Despite “swarm intelligence” of ants and “hive intelligence” of bees, awareness of bee dances, etc., insects have largely been regarded as too primitive to exhibit anything resembling individual intelligence However, recently, fruit flies (Drosophila melanogaster), have been shown to have a 20-30 Hz “salience” response akin to the 40-60 Hz attention response in humans And honeybees (Apis mellifera) have been shown to be capable of learning the abstract concepts of same and different Drosophila:  Drosophila Has a brain sized somewhere between a poppy seed and a sesame seed Contains about 250,000 neurons Appears to sleep nightly Learns by association Apply peach odor and a shock, and it will avoid peaches Possesses short, medium, and long-term memories Reacts to general anesthetics with the same progression of brain function loss as in humans, at equivalent doses Experimental Setup:  Experimental Setup Mushroom bodies receive input from multiple senses and are involved in memory recall Response to Visual Stimuli:  Response to Visual Stimuli 10 sec of raw brain trace (blue) with image rotation sequence (green) Sample power spectrum of brain frequencies (1-100Hz) for a lit but featureless rotating panorama (no image) compared to a spectrum for a lit rotating panorama featuring a 10º-wide unlit vertical bar (image) Salience at 20-30 Hz:  Salience at 20-30 Hz Summed power over 200 sec, in multiple frequency brackets, as a function of angular stimulus position (relative to the fly’s oriented visual field) Habituation -> Reduced Salience:  Habituation -> Reduced Salience Successive 1 min summed power mappings, in the 20-30 Hz band Successive total power measurements in the 20-30 Hz band Odor and Increased Salience:  Odor and Increased Salience Baseline (blue) and Odor-synchronized (red) salience in first 20 second epoch of banana puffs Decreased salience in later epochs of banana puffs (Similar effect observed with heat instead of odor) Salience Response and Tracking:  Salience Response and Tracking Transition to tracking behavior coincides with strong salience response Blue line indicates stimulus position, 360º per ratchet Red line indicates (constant) wing beat rate Image is in front of the fly at position of dashed line Transition period corresponding to onset of tracking behavior is represented by the gap between the thick black lines Honeybee:  Honeybee Brainiest of insects Has about 1 million neurons Learn by association Interpolate visual information, exhibit associative recall, categorize visual information, and learn contextual information Have now been demonstrated to learn abstract relations between stimuli (same and different) Experimental Setup:  Experimental Setup Y-maze used for training and testing “delayed matching to sample” and “delayed matching to non-sample” performance Experimental Procedure:  Experimental Procedure At the maze entrance, the bee encounters the sample stimulus One of two different stimuli, A or B, are alternated in a pseudo-random sequence Next comes a decision chamber, where the bee can choose one of two arms Each arm carries either A or B as a secondary stimulus The bee is rewarded with sucrose solution only if it chooses the correct secondary stimulus (matching or non-matching, depending on the current test procedure) Stimuli:  Stimuli In some tests, both training and test stimuli were visual, with a transfer of learning tested by substituting different visual stimuli Horizontal and vertical gratings Blue and yellow colors Radial and circular gratings In some tests, either the training or test stimuli were olfactory, demonstrating cross-modality transfer Lemon and mango odors Learning Match-to-Sample (Same) :  Learning Match-to-Sample (Same) Transfer of Learning (Same):  Transfer of Learning (Same) Bees initially trained to select same linear grating, then tested on linear gratings and colors Cross-Modality Transfer (Same):  Cross-Modality Transfer (Same) Bees initially trained to select same odor, then tested on odors and colors Learning Non-Match-to-Sample (Different):  Learning Non-Match-to-Sample (Different) Transfer of Learning (Different):  Transfer of Learning (Different) Bees initially trained to select different linear grating, then tested on linear gratings and colors Abstract Concepts:  Abstract Concepts The ability to learn same versus different has been demonstrated widely in vertebrates Rhesus monkeys, cats, raccoons, chimpanzees, dolphins, pigeons, corvids (crows), and others These results demonstrate that the ability to make this conceptualization exists in at least one invertebrate Kinds of Minds:  Kinds of Minds In Daniel Dennett’s Kinds of Minds, he defines a “Tower of Generate-and-Test”, that discriminates amongst a number of different levels of intelligence He uses “Generate-and-Test” because his thesis is that the ability to “produce” the future is the fitness function that serves as the driving evolutionary force Ground Floor: Darwinian Creatures:  Ground Floor: Darwinian Creatures Evolution initially produced organisms well suited to their individual niches Eventually evolution produced designs with the property of phenotypic plasticity… Second Floor: Skinnerian Creatures:  Second Floor: Skinnerian Creatures Associationism, Behaviorism, and Connectionism sample the space of possible behaviors more rapidly and more efficiently But a better system involves prediction and preselection… Third Floor: Popperian Creatures:  Third Floor: Popperian Creatures Preselection, based on the accumulation of accurate information about the world, “permits our hypotheses to die in our stead” (Popper) But reasoning about the world may include reasoning about our own artifacts… Fourth Floor: Gregorian Creatures:  Fourth Floor: Gregorian Creatures Informed by the designed elements of the environment, culture and tools enable both creator and consumer (Mamataxis leads to categorization leads to symbolic thought) Credits:  Credits Images of Ross Ashby’s Homeostat and early Cyberneticians from http://www.culture.com.au/brain_proj/ Image of Grey Walter kneeling with early turtle from http://en.wikipedia.org/wiki/Grey_Walter Image of Grey Walter working on Elsie from http://www.frc.ri.cmu.edu/~hpm/book98/fig.ch2/p018.html Images of Elsie, Testudo bristol, and Testudo legos from http://www.plazaearth.com/usr/gasperi/walter.htm Images of Elmer and Elsie in action from Grey Walter online archive http://www.ias.uwe.ac.uk/Robots/gwonline/gwonline.html Other images from the reading assignments plus extra paper: van Swinderen, B. and Greenspan, R.J. (2003) "Salience Modulates 20-30 Hz Brain Activity in Drosophila." Nature Neuroscience 6: 579-586 Dennett’s “Tower of Generate-and-Test” images from his book, Kinds of Minds References:  References Ross Ashby Homeostat Java simulator http://www.hrat.btinternet.co.uk/Homeostat.html Ross Ashby aphorisms http://www.cybsoc.org/ross.htm Grey Walter online archive http://www.ias.uwe.ac.uk/Robots/gwonline/gwonline.html Grey Walter turtles in Legos http://www.plazaearth.com/usr/gasperi/walter.htm Grey Walter turtle Java simulator http://zoo.cs.yale.edu/classes/cs490/01-02b/stuart.james.jws27/ Some Grey Walter images from Hans Moravec’s site http://www.frc.ri.cmu.edu/~hpm/ About Drosophila melanogaster http://www.ceolas.org/fly/intro.html Koko and the Gorilla Foundation http://www.koko.org/

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