Norm emergence in multiagent systems: a viewpoint paper
Norms are utilised in agent societies to encourage acceptable behaviour by the participating
agents. They can be established or revised from the top-down (authority) or from the bottom …
agents. They can be established or revised from the top-down (authority) or from the bottom …
Off-line synthesis of evolutionarily stable normative systems
Within the area of multi-agent systems, normative systems are a widely used framework for
the coordination of interdependent activities. A crucial problem associated with normative …
the coordination of interdependent activities. A crucial problem associated with normative …
Best-effort inductive logic programming via fine-grained cost-based hypothesis generation: The inspire system at the inductive logic programming competition
We describe the Inspire system which participated in the first competition on inductive logic
programming (ILP). Inspire is based on answer set programming (ASP). The distinguishing …
programming (ILP). Inspire is based on answer set programming (ASP). The distinguishing …
Learning through hypothesis refinement using answer set programming
D Athakravi, D Corapi, K Broda, A Russo - … ILP 2013, Rio de Janeiro, Brazil …, 2014 - Springer
Recent work has shown how a meta-level approach to inductive logic programming, which
uses a semantic-preserving transformation of a learning task into an abductive reasoning …
uses a semantic-preserving transformation of a learning task into an abductive reasoning …
Do agents dream of abiding by the rules? Learning norms via behavioral exploration and sparse human supervision
In recent years, several normative systems have been presented in the literature. Relying on
formal methods, these systems support the encoding of legal rules into machine-readable …
formal methods, these systems support the encoding of legal rules into machine-readable …
A systematic review of norm emergence in multi-agent systems
Multi-agent systems (MAS) have gained relevance in the field of artificial intelligence by
offering tools for modelling complex environments where autonomous agents interact to …
offering tools for modelling complex environments where autonomous agents interact to …
[PDF][PDF] Agent-directed runtime norm synthesis
To maintain fitness-for-purpose, the set of norms governing a MAS will typically need to
evolve to reflect the changing needs of both participants and the environment. We put …
evolve to reflect the changing needs of both participants and the environment. We put …
An ASP framework for the refinement of authorization and obligation policies
D Inclezan - Theory and Practice of Logic Programming, 2023 - cambridge.org
This paper introduces a framework for assisting policy authors in refining and improving their
policies. In particular, we focus on authorization and obligation policies that can be encoded …
policies. In particular, we focus on authorization and obligation policies that can be encoded …
Data-driven revision of conditional norms in multi-agent systems
In multi-agent systems, norm enforcement is a mechanism for steering the behavior of
individual agents in order to achieve desired system-level objectives. Due to the dynamics of …
individual agents in order to achieve desired system-level objectives. Due to the dynamics of …
Automatic synthesis of dynamic norms for multi-agent systems
Norms have been widely proposed to coordinate and regulate multi-agent systems (MAS)
behaviour. We consider the problem of synthesising and revising the set of norms in a …
behaviour. We consider the problem of synthesising and revising the set of norms in a …