Answer Set Solving in Practice by Martin Gebser
List of Figures.- List of Tables.- Motivation.- Introduction.- Basic modeling.- Grounding.- Characterizations.- Solving.- Systems.- Advanced modeling.- Conclusions.You might also like
Empire of AI
Loading...
Advances in Financial Machine Learning
Loading...
How AI Will Change Your Life
Loading...
Artificial Intimacy
Loading...
The Hundred-Page Machine Learning Book
Loading...
SolidGoldMagikarp
Loading...
OCR AS and A Level Computer Science
Loading...
-
Graph Representation Learning
-
A Concise Introduction to Models and Methods for Automated Planning
-
Learning with Support Vector Machines
-
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
-
Reasoning with Probabilistic and Deterministic Graphical Models
-
Action Programming Languages
-
Human Computation
-
Learning and Decision-Making from Rank Data
-
Explainable Human-AI Interaction
-
Network Embedding
-
Predicting Human Decision-Making
-
Game Theory for Data Science
-
Strategic Voting
-
Statistical Relational Artificial Intelligence
-
A Short Introduction to Preferences
-
Case-Based Reasoning
-
Representing and Reasoning with Qualitative Preferences
-
Robot Learning from Human Teachers
-
Visual Object Recognition
-
General Game Playing
-
Essential Principles for Autonomous Robotics
-
Federated Learning
-
Graph-Based Semi-Supervised Learning
-
An Introduction to Constraint-Based Temporal Reasoning
-
Intelligent Autonomous Robotics
-
Representation Discovery using Harmonic Analysis
-
Representations and Techniques for 3D Object Recognition and Scene Interpretation
-
Introduction to Intelligent Systems in Traffic and Transportation
-
Introduction to Symbolic Plan and Goal Recognition
-
Judgment Aggregation
-
Metric Learning
-
Data Integration
-
Trading Agents
-
Introduction to Semi-Supervised Learning
-
Transfer Learning for Multiagent Reinforcement Learning Systems
-
Introduction to Graph Neural Networks
-
Introduction to Logic Programming
-
An Introduction to the Planning Domain Definition Language
-
Lifelong Machine Learning, Second Edition
-
Adversarial Machine Learning
-
Multi-Objective Decision Making
-
Active Learning
-
Planning with Markov Decision Processes
-
Computational Aspects of Cooperative Game Theory
-
Algorithms for Reinforcement Learning
| SKU | Unavailable |
| ISBN 13 | 9783031004339 |
| ISBN 10 | 3031004337 |
| Title | Answer Set Solving in Practice |
| Author | Martin Gebser |
| Series | Synthesis Lectures On Artificial Intelligence And Machine Learning |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2012-12-12 |
| Number of pages | 212 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
Customers who bought this item also bought
Empire of AI
Loading...
Advances in Financial Machine Learning
Loading...
How AI Will Change Your Life
Loading...
Artificial Intimacy
Loading...
The Hundred-Page Machine Learning Book
Loading...
SolidGoldMagikarp
Loading...
OCR AS and A Level Computer Science
Loading...
Deep Learning
Loading...
Python by Example
Loading...
Deep Thinking
Loading...
IT Architecture For Dummies
Loading...
Universal Principles of UX
Loading...
Essential Math for Data Science
Loading...
Rewire or Retire
Loading...
Prompt Engineering for Generative AI
Loading...
The Augmented COO
Loading...
HBR Guide to AI Basics for Managers
Loading...
AQA AS/A-level Computer Science Workbook 1
Loading...
Deep Reinforcement Learning Hands-On
Loading...
BTEC Level 3 National IT Student Book 2
Loading...
AQA AS and A Level Computer Science
Loading...
The Annotated Turing
Loading...
The Ultimate ChatGPT Prompt Book
Loading...
