Lalanda et al., 2013 - Google Patents
The Decision FunctionLalanda et al., 2013
- Document ID
- 16388420429097588112
- Author
- Lalanda P
- McCann J
- Diaconescu A
- Publication year
- Publication venue
- Autonomic Computing: Principles, Design and Implementation
External Links
Snippet
In the previous chapters, we saw how self-managed systems could accumulate information about their execution context and how they could adapt their own internal structures. We now focus on the decision function that links sensory inputs to actuating outputs. This …
- 230000002567 autonomic 0 abstract description 95
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
- G06N5/025—Extracting rules from data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computer systems based on specific mathematical models
- G06N7/005—Probabilistic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
- G06N5/046—Forward inferencing, production systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/35—Model driven
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/10—Requirements analysis; Specification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Katzouris et al. | Incremental learning of event definitions with inductive logic programming | |
| Pellier et al. | PDDL4J: a planning domain description library for java | |
| Georgas et al. | Using architectural models to manage and visualize runtime adaptation | |
| Ferreira et al. | Managing the complex data center environment: an integrated energy-aware framework | |
| Baier et al. | Maximizing the conditional expected reward for reaching the goal | |
| Ferilli et al. | Activity prediction in process mining using the WoMan framework | |
| Parra-Ullauri et al. | Event-driven temporal models for explanations-ETeMoX: explaining reinforcement learning | |
| Hertzberg et al. | AI reasoning methods for robotics | |
| Louvieris et al. | Assessing critical success factors for military decision support | |
| Jaeger et al. | From statistical model checking to run-time monitoring using a bayesian network approach | |
| Jöckel et al. | Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning? | |
| Wang | Solving a problem with or without a program | |
| Sabatucci et al. | Self-adaptive smart spaces by proactive means–end reasoning | |
| Santos Jr | A cognitive architecture for adversary intent inferencing: Structure of knowledge and computation | |
| Supriana et al. | Self-Adaptive Cyber-City System | |
| Freitas et al. | Attribute grammar applied to human activities recognition in intelligent environments | |
| Li et al. | Learning Graphical Models | |
| Lalanda et al. | The Decision Function | |
| Parra-Ullauri et al. | From a series of (un) fortunate events to global explainability of runtime model-based self-adaptive systems | |
| Vidal et al. | OPENET: Ontology-based engine for high-level Petri nets | |
| Dannenhauer et al. | Expectations for agents with goal-driven autonomy | |
| Sileno et al. | From Probabilistic Programming to Complexity-based Programming | |
| Beierle et al. | A conceptual agent model based on a uniform approach to various belief operations | |
| Neovius | Trustworthy context dependency in ubiquitous systems | |
| Timm et al. | Autonomy in software systems |