TC 12 - Artifical Intelligence - Aims and Scopes

est. 1989, revised 1991, 2004

AIMS

*    To foster the development and understanding of Artificial Intelligence and its applications worldwide.

*    To promote interdisciplinary exchanges between Artificial Intelligence and other fields of information processing.

*    To contribute to the overall aims and objectives and further development of IFIP as the international body for Information Processing. 

SCOPE

Artificial Intelligence covers a wide range of techniques, which can be applied to a very wide range of application areas. Its subfields include (but are not restricted to) the following:

*    Automated Reasoning                                    

*    Belief Revision

*    Case-Based Reasoning

*    Computer Vision

*    Constraint Satisfaction

*    Data Mining

*    Evolutionary Algorithms

*    Intelligent Agents

*    Intelligent Planning and Scheduling

*    Intelligent Robotics

*    Knowledge Acquisition

*    Knowledge Discovery and Data Mining

*    Knowledge Engineering

*    Knowledge-Based Systems

*    Knowledge Management

*    Knowledge Representation and Reasoning

*    Machine Learning

*    Machine Translation

*    Model-based Reasoning

*    Natural Language Processing

*    Neural Nets

*    Pattern Recognition

*    Qualitative Reasoning

*    Search

*    Semantic Web

*    Temporal Reasoning


WG12.1 - Knowledge Representation and Reasoning
est. 2004

AIM

To study and develop theory and techniques for knowledge representation and reasoning.


SCOPE

The scope of the Working Group's activities includes (but is not restricted to) the following:

*    Abductive Reasoning

*    Inductive Reasoning

*    Non-monotonic Reasoning

*    Reasoning about Actions and Change

*    Spatial Reasoning

*    Temporal Reasoning

*    Automated Reasoning

*    Computational Logic

*    Logic Programming

*    Situation Calculus

*    Production Systems

*    Semantic Networks

*    Frames

*    Object-orientated Representation

*    Bayesian Networks

 


WG12.2 - Machine Learning and Data Mining
est. 2003, revised 2005

AIM

To explore computer methodology and algorithms that improve automatically through experience. Applications range from data mining programs that discover general rules in large data sets, to information filtering systems that automatically learn users' interests. 

SCOPE
 

*    Concept Learning and Inductive Learning

*    Association Rules

*    Case-based Learning

*    Artificial Neural Networks

*    Bayesian Learning

*    Uncertainty Learning

*    Reinforcement Learning

*    Evolutionary Learning

*    Perceptual Learning

*    Computational Learning Theory

*    Population-based Learning

*    Data Mining

*    Application Case Study


WG12.3 - Intelligent Agents
est. 2003

AIM

To study and develop theory and techniques for intelligent agents. 

SCOPE

*    Theory and agent modelling

*    Agent architectures

*    Agent-based software engineering

*    Coordinating, cooperation and negotiation

*    Evolution, adaptation and learning

*    Multiple agents

*    Mobile agents

*    Agent-based grid computing

*    Agent-based applications


WG12.4 - (joint with WG2.12, see TC2)


WG12.5 - Artificial Intelligence Applications
est. 1993, rev. 2003

AIM

To explore the use of Artificial Intelligence techniques for applications development.  

SCOPE

All areas of application in which Artificial Intelligence techniques can give benefits to users.

Techniques for application development including:

*    Conceptual frameworks for application specification and design

*    User interface design

*    Integration of AI software and systems with conventional databases, programming languages, and operating systems

*    Related research issues such as knowledge acquisition, learning, validation and implementation techniques. 


WG12.6 - Knowledge Management
est. 1993, rev. 2003

AIMS

*    To develop advanced methods for organizing, accessing and exploiting heterogeneous multimedia data which becomes available through modern communication technology

*    To bring together various areas of AI research and technology to meet this challenge, e.g. knowledge representation, natural language understanding, speech and image understanding, reasoning methods, learning, and agent technologies

*    To develop technology for diverse applications, e.g. subject-specific brokers, corporate knowledge bases, data-mining tools, content-based query languages, multimedia data indexing schemes and web-based information services.

SCOPE

Technologies, processes, and systems for supporting such aspects of knowledge management as collaboration, learning, innovation, decision making, investigation, embedding and archiving.

The interplay between inter-organizational, enterprise, group-based, and personal technologies.

Technology trends including

*    the convergences of E-Learning with Knowledge Management, E-Business with Knowledge Management, Collaborative Commerce with Knowledge Management, and Science of Learning with Knowledge Management

*    the gradual alignment of business process management tools in enterprise portals

*    the impacts of peer-to-peer and grid computing on enterprise collaborations and computing.


WG12.7 - Computer Vision
est. 2003 – dissolved 2008