id: 05820656
dt: a
an: 05820656
au: Allbeck, Jan M.; Kress-Gazit, Hadas
ti: Constraints-based complex behavior in rich environments.
so: Allbeck, Jan (ed.) et al., Intelligent virtual agents. 10th international
    conference, IVA 2010, Philadelphia, PA, USA, September 20‒22, 2010.
    Proceedings. Berlin: Springer (ISBN 978-3-642-15891-9/pbk). Lecture
    Notes in Computer Science 6356. Lecture Notes in Artificial
    Intelligence, 1-14 (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: complex behavior; representation; agent architecture
ci: 
li: doi:10.1007/978-3-642-15892-6_1
ab: Summary: In order to create a system capable of planning complex,
    constraints-based behaviors for an agent operating in a rich
    environment, two complementary frameworks were integrated. Linear
    Temporal Logic mission planning generates controllers that are
    guaranteed to satisfy complex requirements that describe reactive and
    possibly infinite behaviors. However, enumerating all the relevant
    information as a finite set of Boolean propositions becomes intractable
    in complex environments. The PAR (Parameterized Action Representation)
    framework provides an abstraction layer where information about actions
    and the state of the world is maintained; however, its planning
    capabilities are limited. The integration described in this paper
    combines the strengths of these two frameworks and allows for the
    creation of complex virtual agent behavior that is appropriate to
    environmental context and adheres to specified constraints.
rv: