AAAI
1994
13 years 11 months ago
1994
A new inductive learning system, Lab Learning for ABduction, is presented which acquires abductive rules from a set of training examples. The goal is to nd a small knowledge base ...
AAAI
1994
13 years 11 months ago
1994
We present new algorithms for local planning over Markov decision processes. The base-level algorithm possesses several interesting features for control of computation, based on s...
AAAI
1996
13 years 11 months ago
1996
The goals of situated agents generally do not specify particular objects: they require only that some suitable object should be chosen and manipulated (e.g. any red block). Situat...
AAAI
1994
13 years 11 months ago
1994
1 We have developed an approach to acquire complicated user optimization criteria and use them to guide iterative solution improvement. The eectiveness of the approach was tested ...
AAAI
1996
13 years 11 months ago
1996
AAAI
1994
13 years 11 months ago
1994
This paper proposes a method to find the most suitable architecture for a given response time requirement for Example-Retrieval (ER), which searches for the best match from a bulk...
AAAI
1996
13 years 11 months ago
1996
In this paper we present a model for coalition formation and payo distribution in general environments. We focus on a reduced complexity kernel-oriented coalition formation model,...
AAAI
1996
13 years 11 months ago
1996
Arc consistency filtering is widely used in the framework of binary constraint satisfaction problems: with a low complexity, inconsistency may be detected,and domains are filtered...
AAAI
1994
13 years 11 months ago
1994
We present a formal theory of model-based testing, an algorithm for test generation based on it, and outline how testing is implemented by a diagnostic engine. The key to making t...
AAAI
1996
13 years 11 months ago
1996
Theperformanceof individual agents in a group dependscritically on the quality of information available to it about local and global goals and resources. In general it is assumed ...