Search Results for author: Emad Saad

Found 8 papers, 0 papers with code

Non Deterministic Logic Programs

no code implementations26 Apr 2013 Emad Saad

Non deterministic applications arise in many domains, including, stochastic optimization, multi-objectives optimization, stochastic planning, contingent stochastic planning, reinforcement learning, reinforcement learning in partially observable Markov decision processes, and conditional planning.

Negation reinforcement-learning +2

Logical Stochastic Optimization

no code implementations6 Apr 2013 Emad Saad

We present a logical framework to represent and reason about stochastic optimization problems based on probability answer set programming.

Stochastic Optimization

Logical Fuzzy Optimization

no code implementations5 Apr 2013 Emad Saad

We present a logical framework to represent and reason about fuzzy optimization problems based on fuzzy answer set optimization programming.

Logical Probability Preferences

no code implementations5 Apr 2013 Emad Saad

We present a unified logical framework for representing and reasoning about both probability quantitative and qualitative preferences in probability answer set programming, called probability answer set optimization programs.

Fuzzy Aggregates in Fuzzy Answer Set Programming

no code implementations5 Apr 2013 Emad Saad

Fuzzy answer set programming is a declarative framework for representing and reasoning about knowledge in fuzzy environments.

Nested Aggregates in Answer Sets: An Application to a Priori Optimization

no code implementations5 Apr 2013 Emad Saad

We allow representing and reasoning in the presence of nested multiple aggregates over multiple variables and nested multiple aggregates over functions involving multiple variables in answer sets, precisely, in answer set optimization programming and in answer set programming.

Traveling Salesman Problem

Logical Fuzzy Preferences

no code implementations5 Apr 2013 Emad Saad

We present a unified logical framework for representing and reasoning about both quantitative and qualitative preferences in fuzzy answer set programming, called fuzzy answer set optimization programs.

Scheduling

Probability Aggregates in Probability Answer Set Programming

no code implementations5 Apr 2013 Emad Saad

We show that the proposed probability answer set semantics of DHPP subsumes both the original probability answer set semantics of DHPP and the classical answer set semantics of classical disjunctive logic programs with classical aggregates, and consequently subsumes the classical answer set semantics of the original disjunctive logic programs.

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