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The following are the current areas of ETAI activity. Research contributions are received, discussed, and refereed within these areas. Each active area has a list of subscribers, who receive information by E-mail, and a number of additional services such as calendar of events, bibliographies, and others.
The activities in each area are accessed by clicking the area name in the lower-left menu zone. Papers that are accepted by the referees are included in the ETAI Journal, which is of course in common for all the areas. Please click the grey bar labelled The Journal for additional information about this.
More detailed definitions of the respective areas is found by clicking the name of the area on the menu bar, and then clicking "Scope" in the next step.

Established Areas (which have been operational for a while)

Intelligent User Interfaces The area of Intelligent User Interfaces focuses on design principles, methodologies and tools that make man-machine communication easier and more effective.

Planning and Scheduling Work in the area of AI Planning and Scheduling ranges from formal and theoretical approaches to very practical and application-driven contributions and with that traditionally covers a variety of border regions of related fields.

Reasoning about Actions and Change Research on Reasoning About Actions and Change investigates formal methods, usually based on formal logic, for characterizing processes in terms of discrete-level state descriptions and events, actions, and activities which are capable of changing the current state.

New Areas (which have just started operation)

Concept Based Knowledge Representation
This area intends to cover any research in conceptual modeling based on knowledge representation. This includes modeling based on formalisms which allow for automated deduction of properties of interest in the defined models.

Decision and Reasoning under Uncertainty This area covers researches on reasoning and decision under uncertainty both on the methodological and on the applicative sides. Significant papers are invited from the whole spectrum of uncertainty in Artificial Intelligence researches.

The following are the current areas of ETAI activity. Research contributions are received, discussed, and refereed within these areas. Each active area has a list of subscribers, who receive information by E-mail, and a number of additional services such as calendar of events, bibliographies, and others. The activities in each area are accessed by clicking the area name in the lower-left menu zone. Papers that are accepted by the referees are included in the ETAI Journal, which is of course in common for all the areas. Please click the grey bar labelled The Journal for additional information about this. More detailed definitions of the respective areas is found by clicking the name of the area on the menu bar, and then clicking "Scope" in the next step. Established Areas (which have been operational for a while)
Intelligent User Interfaces	The area of Intelligent User Interfaces focuses on design principles, methodologies and tools that make man-machine communication easier and more effective.
Planning and Scheduling	Work in the area of AI Planning and Scheduling ranges from formal and theoretical approaches to very practical and application-driven contributions and with that traditionally covers a variety of border regions of related fields.
Reasoning about Actions and Change	Research on Reasoning About Actions and Change investigates formal methods, usually based on formal logic, for characterizing processes in terms of discrete-level state descriptions and events, actions, and activities which are capable of changing the current state.
New Areas (which have just started operation)
Concept Based Knowledge Representation	This area intends to cover any research in conceptual modeling based on knowledge representation. This includes modeling based on formalisms which allow for automated deduction of properties of interest in the defined models.
Decision and Reasoning under Uncertainty	This area covers researches on reasoning and decision under uncertainty both on the methodological and on the applicative sides. Significant papers are invited from the whole spectrum of uncertainty in Artificial Intelligence researches.