output
20032026
most citedLong non-coding RNAs as a source of new peptides

568 citations

Showing 2019 · cs.AIShow all

7 papers · 2 filters

cs.AI2019

Moral Dilemmas for Artificial Intelligence: a position paper on an application of Compositional Quantum Cognition

Camilo M. Signorelli, Xerxes D. Arsiwalla

Traditionally, the way one evaluates the performance of an Artificial Intelligence (AI) system is via a comparison to human performance in specific tasks, treating humans as a refe…

cs.AI201912 cited

Hierarchical Finite State Controllers for Generalized Planning

Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

Finite State Controllers (FSCs) are an effective way to represent sequential plans compactly. By imposing appropriate conditions on transitions, FSCs can also represent generalized…

cs.AI20196 cited

Generalized Planning With Procedural Domain Control Knowledge

Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

Generalized planning is the task of generating a single solution that is valid for a set of planning problems. In this paper we show how to represent and compute generalized plans…

cs.AI20192 cited

Factored Probabilistic Belief Tracking

Blai Bonet, Hector Geffner

The problem of belief tracking in the presence of stochastic actions and observations is pervasive and yet computationally intractable. In this work we show however that probabilis…

cs.AI20198 cited

Causal Belief Decomposition for Planning with Sensing: Completeness Results and Practical Approximation

Blai Bonet, Hector Geffner

Belief tracking is a basic problem in planning with sensing. While the problem is intractable, it has been recently shown that for both deterministic and non-deterministic systems…

cs.AI20191 cited

Generalized Planning: Non-Deterministic Abstractions and Trajectory Constraints

Blai Bonet, Giuseppe De Giacomo, Hector Geffner +1

We study the characterization and computation of general policies for families of problems that share a structure characterized by a common reduction into a single abstract problem…