Journal of Intelligent & Fuzzy Systems - Volume 36, issue 5

Authors: Rodríguez, Arles | Botina, Nathaly | Gómez, Jonatan | Diaconescu, Ada

Article Type: Research Article

Abstract:  Previous research studied a problem of data collection in complex networks with failure-prone components using mobile agents and two movement strategies: random and a pheromone-based algorithm. As a main conclusion, a fast data collection implies higher robustness and success rates. In some scale-free networks with a higher standard deviation in the betweenness centrality, random exploration was faster than a pheromone-based algorithm because mobile agents remain re-exploring nodes for more time. This paper presents an improvement to selected movement algorithms to collect data in complex networks in a faster way. The proposed improvement consists of local marks in nodes to avoid …re-exploration combined with the previously proposed algorithms. Experiments were performed with different failures rates. Results show that there is a significant difference between the pheromone algorithm with and without local marks providing a higher robustness in data collection tasks in scenarios with a higher standard deviation in the betweenness centrality. Possible applications include data-collection and retrieval in distributed environments like Internet of Things environments (IoT) as well as farms, clusters and clouds. Show more

Keywords: Data collection, complex networks, failure-prone mobile agents, local marking

DOI: 10.3233/JIFS-179053

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 5081-5089, 2019

Authors: Jobczyk, Krystian

Article Type: Research Article

Abstract:  Temporal expressions describing the so-called Allen’s relations between intervals are broadly exploited in Artificial Intelligence and engineering, for example, in a system specification. They may be formally rendered in terms of Halpern-Shoham logic. If these expressions are combined with some expressions describing differents obligations or permissions, then we need a kind of a deontic Halpern-Shoham logic to represent the combinations. If also obligations are gradable and they introduce a kind of a fuzziness, then a new multi-valued (fuzzy) deontic logic should be expected. According to it – a multi-valued deontic Halpern-Shoham logic is proposed in the paper. Its combined formulae …are interpreted in the interval-based fibred semantics, which consitutes a modification of the pioneering ideas of Gabbay’s fibred semantics. Show more

Keywords: Halpern-Shoham logic, fuzzy deontic temporal expressions, fuzzy-temporal logic, multi-valued deontic logic

DOI: 10.3233/JIFS-179054

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 5091-5103, 2019

Authors: Torres, Ivan | Hernández, Noé | Rodríguez, Arturo | Fuentes, Gibrán | Pineda, Luis A.

Article Type: Research Article

Abstract: Service Robots should be able to reason about preferences when assisting people in common daily tasks. This functionality is useful, for instance, to respond to action directives that conflict with the user’s interest or wellbeing or when commands are underspecified. Preferences are defeasible knowledge as they can change with time or context, and should be stored in a non-monotonic knowledge-base system, capable of expressing incomplete knowledge, updating defaults and exceptions dynamically, and handling multiple extensions. In this paper a knowledge-base system with such an expressive power is presented. Non-monotonicity is handled using a generalization of the Principle of Specificity, which …states that in case of knowledge conflict the most specific proposition should be preferred. Reasoning about preferences is used on demand through conversational protocols that are generic and domain independent. We describe the general principles underlying such protocols and their implementation through the SitLog programming language. We also show a demonstration scenario in which the robot Golem-III assists human users using such protocols and preferences stored in its non-monotonic knowledege-base service. Show more

Keywords: Reasoning with preferences, non-monotonic knowledge-base, robust behavior in service robots, robotics cognitive architecture, robot golem-III

DOI: 10.3233/JIFS-179055

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 5105-5114, 2019