In-time explainability in multi-agent systems: Challenges, opportunities, and roadmap
In the race for automation, distributed systems are required to perform increasingly complex
reasoning to deal with dynamic tasks, often not controlled by humans. On the one hand …
reasoning to deal with dynamic tasks, often not controlled by humans. On the one hand …
[PDF][PDF] BDI agent architectures: A survey
The BDI model forms the basis of much of the research on symbolic models of agency and
agent-oriented software engineering. While many variants of the basic BDI model have been …
agent-oriented software engineering. While many variants of the basic BDI model have been …
Agent programming in the cognitive era
It is claimed that, in the nascent 'Cognitive Era', intelligent systems will be trained using
machine learning techniques rather than programmed by software developers. A contrary …
machine learning techniques rather than programmed by software developers. A contrary …
Why bad coffee? Explaining BDI agent behaviour with valuings
An important issue in deploying an autonomous system is how to enable human users and
stakeholders to develop an appropriate level of trust in the system. It has been argued that a …
stakeholders to develop an appropriate level of trust in the system. It has been argued that a …
Engineering multi-agent systems: State of affairs and the road ahead
The continuous integration of software-intensive systems together with the ever-increasing
computing power offer a breeding ground for intelligent agents and multi-agent systems …
computing power offer a breeding ground for intelligent agents and multi-agent systems …
[PDF][PDF] Multi-Agent Intention Progression with Reward Machines.
Recent work in multi-agent intention scheduling has shown that enabling agents to predict
the actions of other agents when choosing their own actions may be beneficial. However …
the actions of other agents when choosing their own actions may be beneficial. However …
Emergence of Social Norms in Large Language Model-based Agent Societies
The emergence of social norms has attracted much interest in a wide array of disciplines,
ranging from social science and cognitive science to artificial intelligence. In this paper, we …
ranging from social science and cognitive science to artificial intelligence. In this paper, we …
Quantitative modelling and analysis of BDI agents
Abstract Belief–desire–intention (BDI) agents are a popular agent architecture. We extend
conceptual agent notation (Can)—a BDI programming language with advanced features …
conceptual agent notation (Can)—a BDI programming language with advanced features …
An agent programming manifesto
B Logan - International Journal of Agent-Oriented Software …, 2018 - inderscienceonline.com
There has been considerable progress in both the theory and practice of agent
programming since Georgeff and Rao's seminal work on the belief-desire-intention …
programming since Georgeff and Rao's seminal work on the belief-desire-intention …
[PDF][PDF] Progressing Intention Progression: A Call for a Goal-Plan Tree Contest.
User-supplied domain control knowledge in the form of hierarchically structured Goal-Plan
Trees (GPTs) is at the heart of a number of approaches to reasoning about action …
Trees (GPTs) is at the heart of a number of approaches to reasoning about action …