[mod.ai] Seminar - A Logic of Knowledge, Action, and Communication

KALANTARI@RED.RUTGERS.EDU.UUCP (01/27/87)

RUTGERS COMPUTER SCIENCE AND RUTCOR COLLOQUIUM SCHEDULE - SPRING 1987
	     
Computer Science Department Colloquium :

DATE: Thursday, January 29, 1987

SPEAKER:          Leora Morgenstern 
AFFILIATION:      New York University

TITLE:     Foundations of a Logic of Knowledge, Action, and Communication

TIME: 9:50 (Coffee and Cookies will be setup at 9:30)
PLACE:  Hill Center, Room 705


Most AI planners work on the assumption that they have complete knowledge
of their problem domain and situation, so that formulating a plan consists
of searching through some pre-packaged list of action operators for an
action sequence that achieves some desired goal.  Real life planning rarely
works this way because we usually don't have enough information to map out
a detailed plan of action when we start out.  Instead, we initially draw up
a sketchy plan and fill in details as we proceed and gain more exact
information about the world.

This talk will present a formalism that is expressive enough to describe this
flexible planning process.  We begin by discussing the various requirements
that such a formalism must meet, and present a syntactic theory of knowledge
that meets these requirements.  We discuss the paradoxes, such as the Knower
Paradox, that arise from syntactic treatments of knowledge, and propose a
solution to these paradoxes based on Kripke's solution to the Liar Paradox.
Next, we present a theory of action that is powerful enough to describe
partial plans and joint-effort plans.  We demonstrate that we can integrate
this theory with an Austinian and Searlian theory of communicative acts.
Finally, we give solutions to the Knowledge Preconditions and Ignorant Agent
Problems as part of our integrated theory of planning.

The talk will include comparisons of our theory with other syntactic and
modal theories such as Konolige's and Moore's.  We will demonstrate
that our theory is powerful enough to solve classes of problems that these
theories cannot handle.