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Josefina Sierra-Santibáñez

dblp:73/1951 · also Josefina Sierra · DBLP profile ↗
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7ranked-venue papers
7as first author
0since 2021 · last 2018
0000-0003-3529-6713ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 7 · 7 first-authorGraphics, computer vision, multimedia, augmented reality and games · 5 · 5 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
4 papers
Multi-agent systems · 68% Knowledge representation and reasoning · 26% Planning, search and constraint satisfaction · 5%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
agent-based simulation
0.422015
An Agent-Based Model of the Emergence and Transmission of a Language System for the Expression of Logical Combinations · AAAI 2015
An Agent-Based Model Studying the Acquisition of a Language System of Logical Constructions · AAAI 2014
Knowledge, reasoning and agents › Multi-agent systems › emergent communication
language emergence
0.212014
An Agent-Based Model Studying the Acquisition of a Language System of Logical Constructions · AAAI 2014
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › heuristic search
heuristic search planning
0.012004
Heuristic planning: A declarative approach based on strategies for action selection · Artif. Intell. 2004
Knowledge, reasoning and agents › Knowledge representation and reasoning
commonsense reasoning
0.012001
Grounded Models as a Basis for Intuitive Reasoning · IJCAI 2001

Methods — techniques the papers use, named apart from their topics

agent-based simulation · 0.4action selection strategies · 0.0grounded model semantics · 0.0
YearPublicationVenuePosition
2018 An agent-based model of the emergence and evolution of a language system for boolean coordination
Josefina Sierra-Santibáñez
Auton. Agents Multi Agent Syst.1
2015 An Agent-Based Model of the Emergence and Transmission of a Language System for the Expression of Logical Combinations
abstract
This paper presents an agent-based model of the emergence and transmission of a language system for the expression of logical combinations of propositions. The model assumes the agents have some cognitive capacities for invention, adoption, repair, induction and adaptation, a common vocabulary for basic categories, and the ability to construct complex concepts using recursive combinations of basic categories with logical categories. It also supposes the agents initially do not have a vocabulary for logical categories (i.e. logical connectives), nor grammatical constructions for expressing logical combinations of basic categories through language. The results of the experiments we have performed show that a language system for the expression of logical combinations emerges as a result of a process of self-organisation of the agents' linguistic interactions. Such a language system is concise, because it only uses words and grammatical constructions for three logical categories (i.e. and, or, not). It is also expressive, since it allows the communication of logical combinations of categories of the same complexity as propositional logic formulas, using linguistic devices such as syntactic categories, word order and auxiliary words. Furthermore, it is easy to learn and reliably transmitted across generations, according to the results of our experiments.
Josefina Sierra-Santibáñez
AAAI1
2014 An Agent-Based Model Studying the Acquisition of a Language System of Logical Constructions
abstract
This paper presents an agent-based model that studies the emergence and evolution of a language system of logical constructions, i.e. a vocabulary and a set of grammatical constructions that allow the expression of logical combinations of categories. The model assumes the agents have a common vocabulary for basic categories, the ability to construct logical combinations of categories using Boolean functions, and some general purpose cognitive capacities for invention, adoption, induction and adaptation. But it does not assume the agents have a vocabulary for Boolean functions nor grammatical constructions for expressing such logical combinations of categories through language. The results of the experiments we have performed show that a language system of logical constructions emerges as a result of a process of self-organisation of the individual agents' interactions when these agents adapt their preferences for vocabulary and grammatical constructions to those they observe are used more often by the rest of the population, and that such a language system is transmitted from one generation to the next.
Josefina Sierra-Santibáñez
AAAI1
2004 Heuristic planning: A declarative approach based on strategies for action selection
Josefina Sierra-Santibáñez
Artif. Intell.1
2002 Grounded Models as a Basis for Intuitive and Deductive Reasoning: the Acquisition of Logical Categories
Josefina Sierra-Santibáñez
ECAI1
2001 Grounded Models as a Basis for Intuitive Reasoning
Josefina Sierra-Santibáñez
IJCAI1
1998 A Declarative Formalization of STRIPS
Josefina Sierra-Santibáñez
ECAI1