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DAM
2008
69views more  DAM 2008»
15 years 6 months ago
Impact of memory size on graph exploration capability
A mobile agent (robot), modeled as a finite automaton, has to visit all nodes of a regular graph. How does the memory size of the agent (the number of states of the automaton) inf...
Pierre Fraigniaud, David Ilcinkas, Andrzej Pelc
RAS
2007
169views more  RAS 2007»
15 years 5 months ago
Decentralized cooperative control of heterogeneous vehicle groups
We coordinate in discrete time the interaction of two heterogeneous groups of mobile agents: a group of ground vehicles (ugvs) and a group of aerial vehicles (uavs). The ground ag...
Herbert G. Tanner, D. K. Christodoulakis
TSMC
1998
78views more  TSMC 1998»
15 years 6 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
KESAMSTA
2010
Springer
15 years 11 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
AAAI
1990
15 years 7 months ago
Introducing the Tileworld: Experimentally Evaluating Agent Architectures
We describe a system called Tileworld, which consists of a simulated robot agent and a simulated environment which is both dynamic and unpredictable. Both the agent and the enviro...
Martha E. Pollack, Marc Ringuette