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Intelligence without Reason. Rodney A. Brooks. Overview of the talk. Status-check on research in AI Intelligence without explicit reasoning systems Influence of various disciplines and technology on the development of AI Situatedness, Embodiment, Intelligence and Emergence. Robotics.

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intelligence without reason

Intelligence without Reason

Rodney A. Brooks

CS790X Anil Shankar

overview of the talk
Overview of the talk
  • Status-check on research in AI
  • Intelligence without explicit reasoning systems
  • Influence of various disciplines and technology on the development of AI
  • Situatedness, Embodiment, Intelligence and Emergence

CS790X Anil Shankar

robotics
Robotics
  • Static environments
  • Off board computation
  • Sense-Model-Plan-Act architectures (SMPA)
  • Assuming that the static world can scale to the real dynamic world

Were these robots “intelligent”?

CS790X Anil Shankar

re think intelligence
Re-think Intelligence
  • Do we always problem-solve and plan?
  • An agent’s internal representation compared with real-world object representation
  • Where should the agents be?
  • Can an agent have goals and beliefs?

So how do we re-think then ?

CS790X Anil Shankar

the new manifesto
The new manifesto
  • Situatedness (S)
  • Embodiment (E)
  • Intelligence (I)
  • Emergence (E)
  • Compare SEIE with SMPA

Check your computer for intelligence

CS790X Anil Shankar

us and them
Us and Them
  • Silicon based machines
    • Von Neumann architecture
  • Biological machines
    • Low speed, massively parallel, fixed and bounded network topology, redundancies in design

What would the classical AI guys say?

CS790X Anil Shankar

classical a i
Classical A.I
  • Turing Test
    • Allowed disembodiment
  • Chess
    • What about Go?
  • Dartmouth Conference
    • Search
  • AI techniques
    • Search, Pattern recognition, learning, planning and induction (disembodied and non-situated, reliance on performance increases

Where did all these ideas come from ?

CS790X Anil Shankar

other disciplines
Other Disciplines
  • Cybernetics
    • Organism and it’s environment should be modeled together (situatedness)
  • Abstraction
    • Blocks world, controlled environments, Shakey, internal models, complacence with performance in static environments
  • Knowledge Representation
    • Represent knowledge, problem-solve, learn …ungrounded!

CS790X Anil Shankar

other disciplines 2
Other disciplines (2)
  • Vision
    • Reconstruct static external world as a three dimensional model
  • Parallelism
    • Neural networks, no situatedness, hand-crafted problems, real-world performance missing
  • Biology
    • Use ethology to make an ungrounded assumption about hierarchical models of thinking/intelligence

CS790X Anil Shankar

other disciplines 3
Other disciplines (3)
  • Psychology
    • Marr’s view of vision maybe different from biological vision
    • Representation of knowledge as
      • Central storage (concepts, individuals, categories, goals, intentions, etc.)
      • Knowledge stored independent of the circumstances in which it is acquired
  • Modality-specific organization of meaning

CS790X Anil Shankar

other disciplines 4
Other disciplines (4)
  • Neuroscience
    • What about the hormones?
    • Do we know enough about the neurological organization simple creatures?

Do we want to consider something that might actually work?

CS790X Anil Shankar

brave new world
Brave New World
  • Situatedness
    • The world is its own best model
  • Embodiment
    • The world grounds regress
  • Intelligence
    • Intelligence is determined by the dynamics of interaction with the world
  • Emergence
    • Intelligence is in the eye of the observer

Will these work ?

CS790X Anil Shankar

brooks approach
Brooks’ Approach
  • Situatedness
  • Embodiment
  • Highly reactive architectures with manipulable representations
  • No symbols and decentralized computation

What do we need next?

CS790X Anil Shankar

domain principles
Domain Principles
  • Complete integrated intelligent autonomous agents
  • Embodiment in the real world
  • Efficient performance in dynamic environments
  • Operate on time-scales in proportion to that used by humans

How do we realize them ?

CS790X Anil Shankar

computation principles
Computation Principles
  • Asynchronous network having active computational components
  • No implicit semantics in exchanged messages
  • Asynchronously connected sensors and actuators to two-sided buffers

What will these ideas help us realize?

CS790X Anil Shankar

some consequences
Some consequences
  • A state enabled system and not just a reactive one
  • Bounded search space
  • Simple data structures
  • No implicit separation of data and computation

Practice and Principles ?

CS790X Anil Shankar

more on brooks robots
More on Brooks’ robots
  • No central model, no central control locus
  • Network components can perform more than one function
  • Behavior specific networks, build and test method
  • No hierarchical arrangement, parallel operation of behaviors (layers)
  • Use the world itself as a communication medium
  • Simpler design, on-board computation, miniaturization possible
  • Limitations
    • Power, computational capability

The real robots please

CS790X Anil Shankar

a few specific robots
A few specific robots
  • Allen
    • Reactive, sonar, non-reactive goal selecting layer, same computational mechanism for both reactive and non-reactive components
  • Herbert
    • World as it’s own model, opportunistic control system, adapt to dynamic changes
  • Toto
    • Extract only relevant representations, decentralized, active-maps
  • Complex goal-directed and intentional behavior with no long term internal state

Everything is not peachy

CS790X Anil Shankar

a few issues
A few issues
  • Complexity
    • Environment, sensors and actuators, layers
  • Learning
    • Representations for a task, calibration, interaction of modules, new modules
  • Behaviors
    • Specification, number, interaction

What else is there to do next?

CS790X Anil Shankar

issues
Convergence

Synthesis

Complexity

Learning

Coherence

Relevance

Adequacy

Representation

Emergence

Communication

Cooperation

Interference

Density

Individuality

Issues

Almost done

CS790X Anil Shankar

slide21
Main Points

Status-check on research in AI

Intelligence without explicit reasoning systems, emergent property and evolutionary basis

Influence of various disciplines and technology on the development of AI

Situatedness, Embodiment, Intelligence and Emergence

Questions ?

Comments?

Suggestions ?

CS790X Anil Shankar