Potential of biologically inspired computing

Summary

Introduction

• Overcome the Von Neumann fetch compute store, John was a brilliant Hungarian mathematician who published the earliest paper specifying architecture for digital computing.  It ensured this computing architecture was not patentable.  The architecture has a central processing unit (CPU), random access storage addressable by the CPU and a sequencer.  The architecture encourages a serial software architecture that matches the logic of the sequencer and processing operations on program and data.  Von Neumann, his history, computing architecture and some alternative architectures are reviewed by Melanie Mitchell. 
  bottleneck with massively parallel systems. 
• Increase the robustness of computations by duplication of processing. 
  
• Improve the
  To benefit from shifts in the environment agents must be flexible.  Being sensitive to environmental signals agents who adjust strategic priorities can constrain their competitors. 
  
  flexibility of programmed systems by use of an adaptive architecture. 
  
• Leverage biological designs which have been optimized over billions of years. 
  

• A central processing unit (CPU) resource supplied with instructions and data to process.  Biology uses a massively distributed processing model which reduces the CPU access bottleneck.  Consequently biological operations do not have to limit competitive invocations, and are less likely to need transactional is an operation which guarantees to complete a defined set of activities or return to the initial state.  For a fee the postal service will ensure that a parcel is delivered to its recipient or will return the parcel to the sender.  To provide the service it may have to undo the act of trying to deliver the parcel with a compensating action.  Since the parcel could be lost or destroyed the service may have to return an equivalent value to the sender.   protection. 
  
• Instructions processed in series, unless a jump is executed. 
  
• Applications are designed to directly implement specific functional requirements.   Maintenance issues and engineering quality strategies including limited connections, reuse, directness and information hiding have promoted
  Bertrand Meyer develops arguments, principles and strategies for creating modular software.  He concludes that abstract data types and inheritence make object orientation a superior methodology for software construction.  Complex adaptive system (CAS) theory suggests agents provide an alternative strategy to the use of objects. 
  
  object oriented methods and tool chains.  Biology uses
  Rather than oppose the direct thrust of some environmental flow agents can improve their effectiveness with indirect responses.  This page explains how agents are architected to do this and discusses some examples of how it can be done. 
  
  indirect methods which encourage emergence. 
  
• Testing is applied to the operation reflecting the design of the modules and the requirements of the system.  The testing process aims to select for
  This web page reviews opportunities to find and capture new niches based on studying fitness landscapes using complex adaptive system (CAS) theory. 
  
  fitness, filtering instances of the implementation which fail the criteria.  This is an
  This page reviews the implications of selection, variation and heredity in a complex adaptive system (CAS).  The mechanism and its emergence are discussed. 
  
  evolutionary selection process, but it acts directly on the source code instead of the schematic structures, such as the engineer's understandings of the requirements and designs.  The
  This page describes the Adaptive Web framework (AWF) test system and the agent programming framework (Smiley) that supports its operation. 
  Example test system statements are included.  To begin a test a test statement is loaded into Smiley while Smiley executes on the Perl interpreter. 
  Part of Smiley's Perl code focused on setting up the infrastructure is included bellow. 
  The setup includes:
  

  • Loading the 'Meta file' specification,
    
  • Initializing the Slipnet, and Workspaces and loading them
    
  • So that the Coderack can be called. 

  The Coderack, which is the focus of a separate page of the Perl frame then schedules and runs the codelets that are invoked by the test statement structures. 
  
  Adaptive web framework (AWF) testing infrastructure (2) explores more biologically aligned alternatives. 
  
• The released application then competes in the marketplace.  Finally selection has an impact on the schematic structures. 
  

• Sensors which detect the real world signals that we sense. 
  
• Models of the world defined in both sensor input form and higher level multi-modal, real world effects include sound, light, touch etc. at the same time.   forms
  
• Networks of agents with a shared state that allows them to respond to the signals and initiate further signals and actions.  
• Learned associations of localized signals with general aspects that are important to detect and respond to.  
• An emergent architecture supporting adaptive coordinated deployment of the network of agents. 
  

Biological sensors

• Resolve basic aspects of the signal locally so that only highly significant attributes are passed on to other agents in the network. 
• Align detector deployment with local aspects of the environment. 
  

Use of biological structures and procedures to improve the fitness of designs

Web frames

Networks of agents with shared state

Infrastructure supporting adaptive coordinated deployment of the network of agents

• GPU streams within the Copycat infrastructure, and
  
• Networks of cooperating Copycats. 

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