ParhainHinta.fi
Introduction to Symbolic Plan and Goal Recognition

Springer

Introduction to Symbolic Plan and Goal Recognition

Lowest observed price

€58.29
1 store

Prices at stores

1 offer
Springer Nature Link Shop
Observed
€58.29
Visit store

Prices are the most recently observed prices. Check the current price, availability and delivery costs at the store.

Price history

1 price observation

The chart shows the lowest recorded product price on each observation day. Prices between observations have not been verified.

Lowest observed
€58.29
Highest observed
€58.29
Latest history observation
Price history: 1 observation day€58.2908/11/2026: €58.2908/11/2026
Show price observation
Price observed (Finnish time)Price
€58.29

Product details

Plan recognition, activity recognition, and goal recognition all involve making inferences about other actors based on observations of their interactions with the environment and other agents. This synergistic area of research combines, unites, and makes use of techniques and research from a wide range of areas including user modeling, machine vision, automated planning, intelligent user interfaces, human-computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. It plays a crucial role in a wide variety of applications including assistive technology, software assistants, computer and network security, human-robot collaboration, natural language processing, video games, and many more. This wide range of applications and disciplines has produced a wealth of ideas, models, tools, and results in the recognition literature. However, it has also contributed to fragmentation in the field, with researchers publishing relevant results in a wide spectrum of journals and conferences. This book seeks to address this fragmentation by providing a high-level introduction and historical overview of the plan and goal recognition literature. It provides a description of the core elements that comprise these recognition problems and practical advice for modeling them. In particular, we define and distinguish the different recognition tasks. We formalize the major approaches to modeling these problems using a single motivating example. Finally, we describe a number of state-of-the-art systems and their extensions, future challenges, and some potential applications.

Brand
Springer
EAN / GTIN
9783031004612