What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Software
The scientist’s investigation covers issues in Programming language, Artificial intelligence, Multi-agent system, Agent-oriented programming and Programming paradigm.
His study in Model checking, Fifth-generation programming language, Logic programming, Interpreter and Semantics is carried out as part of his studies in Programming language.
In his work, Third-generation programming language is strongly intertwined with Fourth-generation programming language, which is a subfield of Fifth-generation programming language.
As a part of the same scientific family, Rafael H. Bordini mostly works in the field of Multi-agent system, focusing on Intelligent agent and, on occasion, Operations research.
His Agent-oriented programming study combines topics from a wide range of disciplines, such as Operational semantics, Formal semantics, Java, Autonomous agent and Concurrent object-oriented programming.
His Programming paradigm study which covers Software engineering that intersects with Programming in the large and programming in the small and Software development.
His most cited work include:
- Programming Multi-Agent Systems in AgentSpeak using Jason (772 citations)
- Multi-Agent Programming: Languages, Tools and Applications (408 citations)
- Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology) (362 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Multi-agent system, Programming language, Artificial intelligence, Software engineering and Interpreter.
The various areas that he examines in his Multi-agent system study include Ontology, Situated, Knowledge management and Human–computer interaction.
His study in Programming language concentrates on Agent-oriented programming, Fifth-generation programming language, Programming paradigm, Logic programming and Model checking.
His work in Agent-oriented programming addresses subjects such as Operational semantics, which are connected to disciplines such as Semantics.
His studies deal with areas such as Ontology and Natural language processing as well as Artificial intelligence.
His biological study deals with issues like Formal semantics, which deal with fields such as Semantics of logic.
He most often published in these fields:
- Multi-agent system (35.00%)
- Programming language (30.00%)
- Artificial intelligence (25.56%)
What were the highlights of his more recent work (between 2017-2020)?
- Multi-agent system (35.00%)
- Software engineering (18.89%)
- Human–computer interaction (8.89%)
In recent papers he was focusing on the following fields of study:
Rafael H. Bordini mainly investigates Multi-agent system, Software engineering, Human–computer interaction, Distributed computing and Process management.
Rafael H. Bordini performs integrative Multi-agent system and Order research in his work.
His study in Software engineering is interdisciplinary in nature, drawing from both Ontology, Belief desire intention, Situated, Extension and Programming paradigm.
His Human–computer interaction research includes themes of Intelligent decision support system and Robot programming.
His Distributed computing study combines topics in areas such as Testbed and Conceptual model.
His research in Formal semantics intersects with topics in Operational semantics, Normative systems and Readability.
Between 2017 and 2020, his most popular works were:
- Dimensions in programming multi-agent systems (7 citations)
- SMART-JaCaMo: an organization-based team for the multi-agent programming contest (6 citations)
- On the Formal Semantics of Theory of Mind in Agent Communication (5 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Software
His primary areas of study are Multi-agent system, Human–computer interaction, Theory of mind, CONTEST and System development.
Many of his research projects under Multi-agent system are closely connected to Perspective with Perspective, tying the diverse disciplines of science together.
His Human–computer interaction research includes elements of Formal semantics, Agent architecture, State and Service.
His Formal semantics study incorporates themes from Probability estimation, Operational semantics, Task and Reading.
He has included themes like Interpersonal deception theory, Deception and Cognitive science in his Theory of mind study.
His research investigates the link between Adversary and topics such as Process management that cross with problems in Context.
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