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A Consciousness Based Architecture for a Functioning Mind

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Levels of abstraction. High level. behaviors. message type nodes. emotions ... checking for time and place conflicts. Codelets do almost all the work ... – PowerPoint PPT presentation

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Title: A Consciousness Based Architecture for a Functioning Mind


1
A Consciousness Based Architecture for a
Functioning Mind
  • Stan Franklin
  • and the
  • Conscious Software Research Group
  • Institute for Intelligent Systems
  • University of Memphis

2
The Conscious Software Research Group
  • Stan Franklin
  • Art Graesser
  • Sri Satish Ambati
  • Ashraf Anwar
  • Myles Bogner
  • Arpad Kelemen
  • Ravikumar Kondadadi
  • Lee McCauley
  • Irina Makkaveeva
  • Aregahegn Negatu
  • Uma Ramamurthy
  • Alexei Stoliartchouk
  • Zhouhua Zhang
  • Scott Dodson
  • Gurumoorthy Nagasubramanian
  • Brent Olde
  • Hongjun Song
  • Yun Wan
  • former member off to better things

3
Autonomous Agent
  • An autonomous agent is a system
  • situated within and a part of an
    environment
  • that senses that environment
  • and acts on it,
  • over time,
  • in pursuit of its own agenda
  • so as to effect what it senses in
    the future.

4
Examples
5
Global Workspace Theory
  • A psychological theory of consciousness
  • The nervous system is a distributed parallel
    system with many different
    specialized processors
  • Global workspace contains a coalition of
    processors
  • Broadcasts globally to all other processors
  • Recruit other processors needed for any degree
    of novel or problematic
    situation
  • Explains limited capacity and seriality

6
Contexts at work
7
Why a Conscious Agent?
  • Flesh out the theory with detailed architecture
    and mechanisms
  • Hypotheses for cognitive scientists and
    neuroscientists
  • Produce flexible, adaptive, human-like software
  • Want smart agents?
  • Model them after humans.

8
IDA an Intelligent Distribution Agent
Read personnel data Check job requisition
list Adhere to Navy policies Choose jobs to offer
members Negotiate with members Write orders
Telephone
Detailer
9
Modules and Mechanisms
  • PerceptionCopycat ArchitectureHofstadter
  • Action SelectionBehavior NetMaes
  • Associative MemorySparse Distributed
    MemoryKanerva
  • Episodic MemoryCase-based Memory
  • EmotionsPandemonium TheoryJackson
  • MetacognitionFuzzy Classifier SystemsHolland,
    Zadeh
  • LearningCopycat Architecture, Case-based
    Reasoning
  • Constraint SatisfactionLinear Functional
  • Language GenerationPandemonium Theory
  • DeliberationPandemonium Theory
  • Consciousness Pandemonium Theory

10
IDAs Architecture
Metacognition
Database Perception
Linear Functional
Deliberation
Negotiation
Write Orders
Behavior Net
Conceptual Behavioral Learning
Consciousness
Perception
Associative Memory
Episodic Memory
Emotions
11
Levels of abstraction
  • High level
  • behaviors
  • message type nodes
  • emotions
  • metacognitive actions
  • etc.
  • Low level
  • codelets

12
Codelets
  • Small pieces of code each performing a simple,
    specialized task
  • Acts as a demon, always watching for a chance to
    act
  • Most subserve some high level entity, e.g.
  • behavior
  • slipnet node
  • metacognitive action
  • Some codelets work on their own, e.g.
  • watching for incoming mail
  • checking for time and place conflicts
  • Codelets do almost all the work
  • IDA is a multi-agent system

13
Perception via a Slipnet
Norfolk
nor
NRFK
norfolk
Norfolk
. . .
San Diego
Jacksonville
Miami
location
information request
preference
acceptance
14
Associative Memory
15
Coalitions and Consciousness
  • Coalition manager
  • Spotlight manager
  • Broadcast mechanism

16
Behavior Net in Action
Behavior net
Work Space
Stands
Side lines
Playing field
17
A Behavior Stream
Activation from drive
Send an acknowledgement
Compose an acknowledgment
Find an email address
Find and move a template
From the Sidelines
Activation from the environment, external or
internal
18
Deliberation
  • Faced with a goal or problem
  • Imagine possible plans or solutions
  • Scenarios
  • Routes
  • Internal virtual realityDawkins
  • Evaluate them
  • Using reason
  • Using emotions
  • Choose among them

19
IDAs Deliberation
  • Create scenes
  • May require objects, actors, concepts, relations,
    frames
  • Organized around events
  • Build scenarios as sequences of scenes
  • Choose between scenarios, discarding some
  • Using Barsalous perceptual symbol systems as a
    guide

20
Consciousness in Action
Focus
21
Metacognition
  • Thinking about thinking
  • What Sloman calls meta-management
  • Influences action selection strategies
  • More or less opportunistic, thoughtful or
    goal-oriented
  • Influences resource allocation
  • Fuzzy classifier system

22
Learning
  • Associative learning via pandemonium theory
  • Associative learning via sparse distributed
    memory
  • Perceptual learning via case-based reasoning
  • Behavioral learning via case-based reasoning
  • Metacognitive learning via classifiers

23
Modeling Cognition
  • Situated (embodied) cognitionVarela, Thompson
    Roach
  • Perceptual symbol systemsBarsalou
  • Memory via actionsGlenberg
  • Global workspace theoryBaars
  • Cognitive architectureSloman

24
Slomans Architecture
25
Web and Email Addresses
  • Stan Franklin stan.franklin_at_memphis.eduwww.msc
    i.memphis.edu/franklin
  • Conscious Software Research Group
    www.msci.memphis.edu/csrg
  • CMattie Projectwww.msci.memphis.edu/cmattie
  • IDA Projectwww.msci.memphis.edu/ida
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