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From: (henry h hexmoor)
Subject:  CFP: 1995 AAAI Spring Sympoisum
Date:     Wed, 27 Jul 1994 02:37:11 GMT

1995 AAAI Spring Symposium
Date: March 27-29, 1995
Place: Stanford, CA
Deadline for submission: October 28, 1994


Lessons Learned from Implemented Software Architectures for Physical Agents

We are interested in organizational concepts for artificial agents
that function in the everyday world of manufacturing floors, office
buildings, and houses or in the specialized worlds of space or nuclear

In recent years, a sufficient number of researchers have put forth
software frameworks for organizing intelligence in agents beyond the
original first few who began such investigations [e.g., SOAR and
NASREM] that a symposium to discuss the issues outlined below is
warranted. We are seeing architectures with as few as three and as 
many as five layers of cognition or control, for single agents or
multiple agents, designed to accommodate hard real-time constraints or
involved user interfaces, handling purely reactive or a combination of
deliberate and reactive control, which are subsumptive or
supervenient, and most of which are designed to function as part of a
physical agent. 

The goal of this workshop is to shed light into reasons for
architectural decisions in building artificial agents. Many important
questions affect architectural decisions. For this workshop, we ask
the following questions only with respect to architectural decisions.

Coordination-- How should the agent arbitrate/coordinate/cooperate its
behaviors and actions?  Is there a need for central behavior

Interfaces-- How can human expertise be easily brought into an agent's
decisions?  Will the agent need to translate natural language
internally before it can interact with the world?  How should an agent
capture mission intentions or integrate various levels of autonomy or
shared control?  Can restricted vocabularies be learned and shared by
agents operating in the same environment?

Representation-- How much internal representation of knowledge and
skills is needed?  How should the agent organize and represent its
internal knowledge and skills?  Is more than one representational
formalism needed?

Structural-- How should the computational capabilities of an agent be
divided, structured, and interconnected?  What is the best
decomposition/granularity of architectural components?  What is gained
by using a monolithic architecture versus a multi-level, distributed,
or massively parallel architecture?  Are embodied semantics important
and how should they be implemented?  How much does each level/component
of an agent architecture have to know about the other

Performance-- What types of performance goals and metrics can
realistically be used for agents operating in dynamic, uncertain, and
even actively hostile environments?  How can an architecture make
guarantees about its performance with respect to the time-critical
aspect of the agent's physical environment?  What are the performance
criteria for deciding what activities take place in each
level/component of the architecture?

Psychology-- Why should we build agents that mimic anthropomorphic
functionalities?  How far can/should we draw metaphoric similarities
to human/animal psychology?  How much should memory organization
depend on human/animal psychology?

Simulation-- What, if any, role can advanced simulation technology
play in developing and verifying modules and/or systems?  Can we have
standard virtual components/test environments that everybody trusts
and can play a role in comparing systems to each other?  How far can
development of modules profitably proceed before they should be
grounded in a working system?  How is the architecture affected by its
expected environment and its actual embodiment?

Learning-- How can a given architecture support learning?  How can
knowledge and skills be moved between different layers of an agent

We invite researchers in intelligent mobile robots, robot
manipulators, autonomous creatures (animats), and neuroscience as
applied to autonomous agents to join us in discussing these questions.

To allow for a more practical discussion of the issues, all
submissions should focus on an agent or agents performing a specific
task, such as keeping a house clean, maintaining the space station, or
delivering parts on a factory floor. Be very specific about how your
agent(s) organize(s) its knowledge and skills in order to perform this
task and what mechanisms your agent(s) use(s) to invoke the correct
knowledge or skill at the appropriate time. Please include the design
decisions you made in organizing your agent's architecture for the
task.  Then, through this specific example, show how your agent's
architecture addresses some of the questions listed above.

The symposium will consist of presentations, invited talks, and task
groups. Based on submissions, we will divide the workshop into
specific task groups and, after discussions, come together for
synthesis.  We are tentatively proposing that the group produce as a
minimum a set of answers for a portion of the discussion areas listed


Potential attendees should submit either an extended abstract or a
full paper, neither of which should exceed 20 pages.  If you are
submitting a paper, we prefer that it not have been published
elsewhere.  If you are sending a paper that has already been
published, tell us where it appeared.  

We encourage everyone to submit their papers or abstracts
electronically, PostScript or ASCII only.  Submission can be made by
either e-mailing the entire document or e-mailing an anonymous ftp
address for the document.  E-mail submissions should be sent to:

If e-mail submission is not possible, please send three copies of
the paper or abstract to:

	Henry Hexmoor             
	Co-chair, AAAI Spring Symposium
	226 Bell Hall
	Dept of Computer Science
	SUNY at Buffalo
	Buffalo, NY 14260


Ron Arkin 		
Peter Bonasso 		
Henry Hexmoor (co-chair)
David Kortenkamp (co-chair)
David Musliner 			


James Albus	
George Bekey	
Mike Brady	

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