activity
20102018
most citedProceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994)

125 citations · 162 across the 8 of their papers we have counts for

collaborators

9 papers

cs.AI2018★ 6 cited

Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour

Emilia Gómez, Carlos Castillo, Vicky Charisi +23

This document contains the outcome of the first Human behaviour and machine intelligence (HUMAINT) workshop that took place 5-6 March 2018 in Barcelona, Spain. The workshop was org…

cs.AI2017★ 2 cited

A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming

Leonardo A. Ferreira, Reinaldo A. C. Bianchi, Paulo E. Santos +1

Non-stationary domains, that change in unpredicted ways, are a challenge for agents searching for optimal policies in sequential decision-making problems. This paper presents a com…

cs.AI2017

Answer Set Programming for Non-Stationary Markov Decision Processes

Leonardo A. Ferreira, Reinaldo A. C. Bianchi, Paulo E. Santos +1

Non-stationary domains, where unforeseen changes happen, present a challenge for agents to find an optimal policy for a sequential decision making problem. This work investigates a…

cs.AI2013★ 125 cited

Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994)

Ramon Lopez de Mantaras, David Poole

This is the Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, which was held in Seattle, WA, July 29-31, 1994

cs.AI2013

A Symbolic Approach to Reasoning with Linguistic Quantifiers

Didier Dubois, Henri Prade, Lluis Godo +1

This paper investigates the possibility of performing automated reasoning in probabilistic logic when probabilities are expressed by means of linguistic quantifiers. Each linguisti…

cs.RO2013★ 20 cited

Incremental Map Generation by Low Cost Robots Based on Possibility/Necessity Grids

Maite Lopez-Sanchez, Ramon Lopez de Mantaras, Carles Sierra

In this paper we present some results obtained with a troupe of low-cost robots designed to cooperatively explore and adquire the map of unknown structured orthogonal environments.…