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Ana Casali

dblp:94/827 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2014
0000-0003-0737-5246ORCID · verified

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

Artificial intelligence and machine learning · 4 · 3 first-authorTheory of computation · 1 · 1 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
2 papers
Knowledge representation and reasoning · 62% Multi-agent systems · 38%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
agent models
0.112011
A graded BDI agent model to represent and reason about preferences · Artif. Intell. 2011
Knowledge, reasoning and agents › Multi-agent systems › agent architecture
BDI agents
0.112011
A graded BDI agent model to represent and reason about preferences · Artif. Intell. 2011
Knowledge, reasoning and agents › Knowledge representation and reasoning › nonmonotonic reasoning › preference handling
preference representation and reasoning
0.112011
A graded BDI agent model to represent and reason about preferences · Artif. Intell. 2011
Knowledge, reasoning and agents › Multi-agent systems › multi-agent reasoning
intention inference
0.112008
A Logical Framework to Represent and Reason about Graded Preferences and Intentions · KR 2008
Knowledge, reasoning and agents › Knowledge representation and reasoning
logic-based reasoning
0.112008
A Logical Framework to Represent and Reason about Graded Preferences and Intentions · KR 2008

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

graded modal logic · 0.1modal logic · 0.1
YearPublicationVenuePosition
2014 A Semantic Layered Architecture for Analysis and Diagnosis of SME
abstract
This article describes the research project MAEOS, whose purpose is to model the organizational and strategic development of SMEs. The main objective of this project is to improve the efficiency and performance of business advice given to this kind of companies by establishing a set of methods and software tools for analysis and diagnosis. In order to achieve this, a multi-disciplinary team was created in which two main research areas are represented: artificial intelligence and management science. In this work several key questions of the knowledge engineering field are addressed by the team: how to extract theoretical knowledge (e.g. from scientific works in management science) and practical one (e.g. from consultants); how to formalize it and use it to assist consultants in their daily work.
Nathalie Gartiser, Cecilia Zanni-Merk, Lucas Boullosa, Ana Casali
KES4
2011 A graded BDI agent model to represent and reason about preferences
Ana Casali, Lluís Godo, Carles Sierra
Artif. Intell.1
2009 g-BDI: A Graded Intensional Agent Model for Practical Reasoning
Ana Casali, Lluís Godo, Carles Sierra
MDAI1
2008 A Logical Framework to Represent and Reason about Graded Preferences and Intentions
Ana Casali, Lluís Godo, Carles Sierra
KR1