cnidarion - public release

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Cnidarion

Information ManagementSystem Prototype

For

Synergy Moon LLC

Sayandeep Khan, Angele Lubin, DavidGalea, Curtis Owens

Team ProgressReport

[PUBLIC RELEASE] Jul 1 2012



Cnidarion - Contents● Problems

● Solutions

● Brain Model

– Jellyfish Brain

– Comparison to RL Scenario

●

Implementation – Code techniques

– Command Overview

● Concluding Remarks



Cnidarion – Problems (to solve)●

Geographically distributed team – Assynchronous Communication

– Optimal assignment of agents to locational activities

● Lost information

– Activities not often enough reported

–

Activities have little connection to each other● One activity hardly profits from another

● Optimal activity grouping

●

Simple solution needed



Cnidarion - Solutions● Optimization problem

– Hall's marriage algorithm

– Heuristic approach

● Assynchronuos Reporting

– Relational Database

– Corollary : Trend and Cluster Analysis

● Lost Information

– Cluster Analysis

– Combinatoric Analysis



Cnidarion - Brain Model

● Jellyfish as Prototype

– Strictly: a nerve ring / net

● Radially symmetric

– All Input channels same

input priority

–

Swarm behavior forequivalent output

channels

●

Simple Memory

Radially SymmetricNerve-ring

Tentacle Nerve

Tentacle



Cnidarion Cnideria Comparison

● Cnidarion : our system

inspired from Jellyfish

● Simple Turing Machine –

rule table

● Simple PDA

● All inputs same priority

● Semantic Relation of

inputs (Another TM)

● Cnidaria : Jellyfish

● No active cognition –

genetic response to

environment

● Simple memory (of tides)

● Radial symmetry of input

channels

● Simple tentacle swarm



Cnidarion - Implementation

● Turing machines: – Parses strings of

particular form

– No formal database

needed

● Semantic relationbetween strings

●

Modular



Cnidarion - Implementation●

ECN order stamp – Order trend

– Cluster

– Form Preserving Prediction

– Multiple ordering→

multiple semantic relation

● ECN reordering scheme

– Easy reordering for

assynchronous entry



Cnidarion – Command Overview● Agent Sierra

– Scientist

– Germany, EU

–

GEOsciences, MATHematics – Conference A, Theme X

– Project B, Theme Y

● showagent -AGENTNAME -FLAG

showes the agents. AGENTNAME : specifies one agent to



Cnidarion – Command Overview● Agent Lima Agent Sierra←→

– PR Scientist←→

– Sierra Report: Contacts of Sierra are sales targets (skill

target : Sales. Resource: LIMA)

– Lima Report : need information for marketing

campaigne (skill target: Marketing. Resource: SIERRA)

● relateagent -AGENTNAME -AGENTNAME

relationally relates two agents. No imput optional.



Cnidarion – Command Overview● Agent Juliet Event Tango←→

– Skill match

– Location NOmatch

–

Preference 5

● relateworld -AGENTNAME -EVENT (event omited will

find all events, sim. for agent)



Cnidarion – Concluding remarks

● Implemented in scilab

● Needs each agent to input their present geolocation, their

skills, their preferences to categories, which activities can

affect which subsection and which subsection help they

need

● Needs list of events catagorized according to geolocations

and skills

● Implementation technological readiness level : Successful

demo



Cnidarion – Concluded

cnidarion - public release

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