Vision

Experiments

Purpose - This page, and its sub-pages, document experiments to develop SOARSE technology and explore synthetic cognition. General Resources for research and development.

Experiment 1: Sensory Mode 01

Build and test hardware/software necessary to implement sensory mode 01, which will be capacitive sensing.  The state of three capacitive sensors will induce four Primary nodes to create a superimposed electromagnetic field (EMF).  The electrical potential terrain of this real-time field will be sampled by Secondary nodes, which will populate a digital data structure.  Methods will be coded to calculate and then visualize the real-time co-activity between Primary nodes.  See Sensory Mode 01 page for more complete overview of this initial effort.  Below are incremental sub-experiments intended to achieve the overall goals of Experiment 1.

Exp 1.1EMF Sensing - Initial exploration into simple Arduino sensing of ambient electromagnetic fields.
Exp 1.2Capacitive Sensing - Initial exploration into simple Arduino sensing of human hand proximity via capacitive sensing.
Exp 1.3EMF Source and Sensing - Initial exploration into creating a time varying EMF source using a low power 555 oscillator circuit and then being able to sense the resulting EMF via EMF Arduino sensor in Exp 1.1.
Exp 1.4: Double EMF Source - Create two simultaneously running EMF sources using two low power 555 oscillator circuits as explored in Exp 1.3.
Exp 1.5: EMF Topography Between Double EMF Sources - Using double EMF sources from Exp 1.4, discern the shape and attributes of the EMF between and around the two sources.  Explore the relationship between different kinds of antennae and EMF detector sensitivity.  Explore the relationship between source voltage and and EMF strength.
Exp 1.6: Visualizing EMF with Processing - Use Arduino EMF detector from Exp 1.1 to output serial data in proportion to level of EM field. Use Processing to receive this serial data and visualize it via a simple bar graph.
Exp 1.7: Conditioning Output of Capacitive Sensors to Input into Primary Nodes - Previous experiments have established preliminary functionality for each part of experiment 1 in relative isolation.  This sub-experiment begins to "connect the dots" by passing relevant information between so-called parts.  For Exp 1.7, the output from the capacitive sensor will be input into the Primary nodes.
Exp 1.8: Connecting Above Sub-Experiments - Exp 1.7 began to "connect the dots" by passing relevant information between the component parts explored in the previous sub-experiments.  Exp 1.8 extends this effort by connecting all the functional parts from capacitive sensing to visualization via Processing.
Exp 1.9Scaling Up - Exp 1.7 and 1.8 connected interactive capacitive sensing with its analog in a physical EM field.  This field was then sensed, digitized, and passed into a virtual representation in the computer.  Exp 1.9 scales up former efforts by adding an EMF sensor to the teensyduino for a total of two sensors.  Exp 1.9 will also improve the Processing code to more usefully reflect the nature of the hardware setup.

Experiment 2: Sensory Mode 02

Build and test hardware/software necessary to implement sensory mode 02, which will be a brightness sensor.  The analog state of sixteen photo sensors will induce sixteen Primary nodes to create a superimposed electromagnetic field (EMF), as in experiment 1.  The electrical potential terrain of this real-time field will be sampled by thirty-three Secondary nodes, which will populate a digital data structure via serial communication.  Methods will be coded to calculate and then visualize the real-time co-activity between Primary nodes.  Further methods will be written to create a virtual graph whereby persistent patterns among co-active Primary nodes will cause connections to accrue between those nodes.  See Sensory Mode 02 page for more complete overview of this initial effort.

Experiment 3: Sensory Fusion

Employ previous two experiments to test initial claims regarding higher-order pattern assimilation as described in the research proposal.  Establish working hardware/software environment towards such ends, which will focus on the fusion of diverse sensory modalities into higher-order integrated internal patterns that assimilate both distinct events from the system's environment and their inter-relations, simultaneously.  Proportional to assimilation of higher-order patterns, the system will be empirically tested for an increase in Complexity as defined in the research proposal.  See Sensory Fusion page for more complete overview of this initial effort.

Experiment 4: Learning

Employ previous three experiments to further test claims regarding higher-order pattern assimilation as described in the research proposal.  This experiment will implement true learning whereby inter-connections that have accrued within the virtual data structure will be uploaded back into respective Primary nodes.  It is hypothesized that this will bias the real-time behavior of Primary nodes such that the system will be able to more efficiently recognize learned patterns, thereby doing more work with less energy input.  Proportional to learning, the system will be empirically tested for an increased capacity to do Work as described in the research proposal.  See Learning page for more complete overview of this initial effort.

Experiment 5: Implementing Refinement