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DALT
2006
Springer
13 years 10 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»
13 years 11 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
AAAI
2008
13 years 8 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
13 years 4 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
ICFP
2009
ACM
14 years 7 months 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