Autonomy is perplexing. It is recognisably and undeniably a critical issue in the field of intelligent agents and multi-agent systems, yet it is often ignored or simply assumed. For many, agents are autonomous by definition, and they see no need to add the tautologous prefix in explicitly considering autonomous agents, while for others autonomy in agents is an important yet problematic issue th...

If agents are able to exploit the resources available in a multi-agent domain they must make use of other agents to help them in their tasks. In order to do this it is important that we first of all have an understanding of agency, and then of how goals are generated and subsequently adopted by other agents. In this paper we build upon a three-tiered hierarchy which has been constructed to defi...

We consider the problem of designing agents able to compute optimal decisions by composing data from multiple sources tackle tasks involving: (i) tracking a desired behavior while minimizing an agent-specific cost; (ii) satisfying safety constraints. After formulating control problem, we show that this is convex under suitable assumption and find solution. The effectiveness results, which are t...

Careful rational synthesis was defined in (Condurache et al. 2021) as a quantitative extension of Fisman al.'s (Fisman 2010), model multi-agent systems which agents are interacting graph arena turn-based fashion. There is one common resource, and each action may decrease or increase the resource. Each agent has temporal qualitative objective wants to maintain value resource positive. One must f...