Institut für Informatik und Computational Science
Refine
Year of publication
Document Type
- Article (155)
- Other (7)
- Monograph/Edited Volume (1)
- Conference Proceeding (1)
Keywords
- answer set programming (6)
- Answer Set Programming (5)
- Answer set programming (5)
- Theory (2)
- bioinformatics (2)
- Aggregates (1)
- Algorithm configuration (1)
- Algorithm portfolios (1)
- Automated parallelization (1)
- Boolean logic models (1)
- Combinatorial multi-objective optimization (1)
- Complex optimization (1)
- Conformant Planning (1)
- Course timetabling (1)
- Educational timetabling (1)
- Epistemic Logic Programs (1)
- Incremental answer set programming (1)
- Knowledge representation (1)
- Localization (1)
- Logic programming (1)
- Meta-Programming (1)
- Minimal perturbation problems (1)
- Multi-objective optimization (1)
- Non-Monotonic (1)
- Nonmonotonic reasoning (1)
- Parallel SAT solving (1)
- Preference Handling (1)
- Programming by optimization (1)
- Reasoning (1)
- Signaling transduction networks (1)
- Systems biology (1)
- Tracking (1)
- Wireless Sensor Networks (1)
- action and change (1)
- algorithm schedules (1)
- automated guided vehicle routing (1)
- automated planning (1)
- belief merging (1)
- belief revision (1)
- car assembly operations (1)
- consistency (1)
- course timetabling (1)
- declarative problem solving (1)
- diagnosis (1)
- educational timetabling (1)
- finite model computation (1)
- gap-filling (1)
- hybrid solving (1)
- knowledge representation and nonmonotonic reasoning (1)
- knowledge representation and reasoning (1)
- linear programming (1)
- logic programming (1)
- metabolic network (1)
- planning (1)
- portfolio-based solving (1)
- program encodings (1)
- proof complexity (1)
- strong equivalence (1)
- tableau calculi (1)
- technical notes and rapid communications (1)
Institute
We elaborate upon the theoretical foundations of a metric temporal extension of Answer Set Programming. In analogy to previous extensions of ASP with constructs from Linear Temporal and Dynamic Logic, we accomplish this in the setting of the logic of Here-and-There and its non-monotonic extension, called Equilibrium Logic. More precisely, we develop our logic on the same semantic underpinnings as its predecessors and thus use a simple time domain of bounded time steps. This allows us to compare all variants in a uniform framework and ultimately combine them in a common implementation.
Motivation: Continued development of analytical techniques based on gas chromatography and mass spectrometry now facilitates the generation of larger sets of metabolite concentration data. An important step towards the understanding of metabolite dynamics is the recognition of stable states where metabolite concentrations exhibit a simple behaviour. Such states can be characterized through the identification of significant thresholds in the concentrations. But general techniques for finding discretization thresholds in continuous data prove to be practically insufficient for detecting states due to the weak conditional dependences in concentration data. Results: We introduce a method of recognizing states in the framework of decision tree induction. It is based upon a global analysis of decision forests where stability and quality are evaluated. It leads to the detection of thresholds that are both comprehensible and robust. Applied to metabolite concentration data, this method has led to the discovery of hidden states in the corresponding variables. Some of these reflect known properties of the biological experiments, and others point to putative new states
The Potsdam answer set solving collection, or Potassco for short, bundles various tools implementing and/or applying answer set programming. The article at hand succeeds an earlier description of the Potassco project published in Gebser et al. (AI Commun 24(2):107-124, 2011). Hence, we concentrate in what follows on the major features of the most recent, fifth generation of the ASP system clingo and highlight some recent resulting application systems.