TCLP is a type checker for Prolog dialects. It is written in SICStus Prolog. Its goal is to statically trap programming errors like illegal arguments used in a call for a predicate or illegally built data structures with respect to a given typing for function symbols or predicates. TCLP is also capable of type inference for user predicates. Supported dialects include ISO-Prolog, GNU-Prolog, and SICStus Prolog.
SHORE (Semantic Hypertext Object Repository) is a hypertext repository that stores data about documents and data described by documents. Access to this information is provided as hypertext. The repository stores objects that appear in documents, together with their relations in a semantic net. Hypertext navigation follows these relations in the semantic net. The SHORE server works as an HTTP server, and the client is a standard Web browser. The repository uses PROLOG as its query language and the XSB system as its query engine.
segusoLand is a file manager and desktop environment that enables users to specify any kind of action in a very uniform way, with an artificial intelligence feature that aids by showing only the relevant options. It features a completely new user interaction paradigm called "reciprocal list narrowing".
ConceptBase is a multi-user meta-database system based on a deductive object manager. It is mainly intended for conceptual modeling and coordination in design environments. The system implements O-Telos, a dialect of Telos that amalgamates properties of deductive and object-oriented languages.
PED is a dialogue management system that uses a probabilistic nested belief model to choose dialogue strategies. The dialogue system designer need only supply a set of plan rules to PED as a dialogue grammar with preconditions. Using this grammar, PED constructs game trees (like the one below) to represent the outcomes of the dialogue, so that a dialogue strategy can be chosen for the current turn in the dialogue. PED automatically maintains a belief model by a belief revision process that uses the observed acts in the dialogue. The game tree is evaluated in the context of this belief model. PED is efficient because it uses probabilistic estimates of belief rather than a plain logical belief model.