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» Neuro-symbolic Representation of Logic Programs Defining Inf...
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95
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DALT
2006
Springer
15 years 3 months ago
A Dynamic Logic Programming Based System for Agents with Declarative Goals
Goals are used to define the behavior of (pro-active) agents. It is our view that the goals of an agent can be seen as a knowledge base of the situations that it wants to achieve. ...
Vivek Nigam, João Leite
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
15 years 5 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
107
Voted
AAAI
2008
15 years 1 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
FSTTCS
2010
Springer
14 years 9 months ago
Expressiveness of streaming string transducers
Streaming string transducers [1] define (partial) functions from input strings to output strings. A streaming string transducer makes a single pass through the input string and us...
Rajeev Alur, Pavol Cerný
179
Voted
ICFP
2009
ACM
16 years 8 days ago
Non-parametric parametricity
Type abstraction and intensional type analysis are features seemingly at odds--type abstraction is intended to guarantee parametricity and representation independence, while type ...
Georg Neis, Derek Dreyer, Andreas Rossberg