Abstract. Companion systems aim to extend the abilities of ordinary technical systems, for instance by modeling the user’s situation, by rec-ognizing the user’s intentions, and by being able to interact with the user and to adapt to her/him. Such a system depends on planning capabilities to determine which actions are necessary to achieve a particular goal. In many situations it may not be appropriate for a companion system to develop plans on its own, but instead it has to integrate the user while cre-ating the plan, i.e., it needs to be mixed-initiative. Based on earlier work, we demonstrate how a central knowledge base for a mixed-initiative plan-ning system can be designed. We outline various benefits our approach brings to bear within ...
Mixed-Initiative approaches are being applied in different real world domains and many systems have ...
UnrestrictedThis dissertation introduces a novel approach to the problem of human-interactive planni...
this paper we will examine the types of unexpected goals that may be given to the underlying plannin...
Mixed initiative planning envisions a framework in which automated and human planners interact to jo...
Mixed-initiative assistants can be applied to a vari-ety of information-rich problem-solving tasks o...
This work lays fundamental groundwork for the development of so-called Companion Systems - cognitive...
This dissertation describes the formal foundations and implementation of a commonsense, mixed-initia...
Abstract. AI planning forms a core capability of intelligent systems. It enables goal directed behav...
We show how techniques from various research areas – most notably hierarchical planning, dialog mana...
Traditional approaches to plan representation focused on the generation of a sequence of actions and...
Technical systems evolve from simple dedicated task solvers to cooperative and competent assistants,...
The main challenge addressed by this research is the knowledge acquisition bottleneck defined as the...
Collaborative teams are organizations where joint members work together to solve mutual goals. Mixed...
This paper presents a learnable representation for real-world planning systems. This representation ...
■ Mixed-initiative planning systems attempt to integrate human and AI planners so that the synthesis...
Mixed-Initiative approaches are being applied in different real world domains and many systems have ...
UnrestrictedThis dissertation introduces a novel approach to the problem of human-interactive planni...
this paper we will examine the types of unexpected goals that may be given to the underlying plannin...
Mixed initiative planning envisions a framework in which automated and human planners interact to jo...
Mixed-initiative assistants can be applied to a vari-ety of information-rich problem-solving tasks o...
This work lays fundamental groundwork for the development of so-called Companion Systems - cognitive...
This dissertation describes the formal foundations and implementation of a commonsense, mixed-initia...
Abstract. AI planning forms a core capability of intelligent systems. It enables goal directed behav...
We show how techniques from various research areas – most notably hierarchical planning, dialog mana...
Traditional approaches to plan representation focused on the generation of a sequence of actions and...
Technical systems evolve from simple dedicated task solvers to cooperative and competent assistants,...
The main challenge addressed by this research is the knowledge acquisition bottleneck defined as the...
Collaborative teams are organizations where joint members work together to solve mutual goals. Mixed...
This paper presents a learnable representation for real-world planning systems. This representation ...
■ Mixed-initiative planning systems attempt to integrate human and AI planners so that the synthesis...
Mixed-Initiative approaches are being applied in different real world domains and many systems have ...
UnrestrictedThis dissertation introduces a novel approach to the problem of human-interactive planni...
this paper we will examine the types of unexpected goals that may be given to the underlying plannin...