16,834 research outputs found
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn
to act in complex worlds. We develop a probabilistic, relational planning rule
representation that compactly models noisy, nondeterministic action effects,
and show how such rules can be effectively learned. Through experiments in
simple planning domains and a 3D simulated blocks world with realistic physics,
we demonstrate that this learning algorithm allows agents to effectively model
world dynamics
The 2014 International Planning Competition: Progress and Trends
We review the 2014 International Planning Competition (IPC-2014), the eighth
in a series of competitions starting in 1998. IPC-2014 was held in three separate
parts to assess state-of-the-art in three prominent areas of planning research: the
deterministic (classical) part (IPCD), the learning part (IPCL), and the probabilistic
part (IPPC). Each part evaluated planning systems in ways that pushed the edge of
existing planner performance by introducing new challenges, novel tasks, or both.
The competition surpassed again the number of competitors than its predecessor,
highlighting the competition’s central role in shaping the landscape of ongoing
developments in evaluating planning systems
Reductionism and the Universal Calculus
In the seminal essay, "On the unreasonable effectiveness of mathematics in
the physical sciences," physicist Eugene Wigner poses a fundamental
philosophical question concerning the relationship between a physical system
and our capacity to model its behavior with the symbolic language of
mathematics. In this essay, I examine an ambitious 16th and 17th-century
intellectual agenda from the perspective of Wigner's question, namely, what
historian Paolo Rossi calls "the quest to create a universal language." While
many elite thinkers pursued related ideas, the most inspiring and forceful was
Gottfried Leibniz's effort to create a "universal calculus," a pictorial
language which would transparently represent the entirety of human knowledge,
as well as an associated symbolic calculus with which to model the behavior of
physical systems and derive new truths. I suggest that a deeper understanding
of why the efforts of Leibniz and others failed could shed light on Wigner's
original question. I argue that the notion of reductionism is crucial to
characterizing the failure of Leibniz's agenda, but that a decisive argument
for the why the promises of this effort did not materialize is still lacking.Comment: 11 pages, 1 figur
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