Abstract. This paper addresses the problem of ensuring that agents ’ plans are epistemically feasible in multiagent systems specifications. We propose some solutions within the Cognitive Agents Specification Language (CASL). We define a subjective execution construct Subj that causes the plan to be executed in terms of the agent’s knowledge state, rather than in terms of the world state. The definition assumes that the agent does not do planning or lookahead, and chooses arbitrarily among the actions allowed by the plan. We also define another deliberative execution operator Delib for smarter agents that do planning. We show how these notions can be used to express whether a process is epistemically feasible for its agent(s) in several type...
Epistemic planning can be used to achieve implicit coordination in cooperative multi-agent settings ...
An agent coordinating with another needs a model of the other agent to avoid interference or to prom...
Designing autonomous agents, that interact with others to perform complex tasks, has always been one...
Over the last few years, the concept of Artificial Intelligence has become central in different task...
As the research in multi-agent domain continues to grow it is becoming more and more important to in...
International audienceA realistic model of multi-agent planning must allow us to formalize notions ...
Single-agent planning in partially observable settings is a well understood problem and existing pla...
We present a novel approach to cognitive planning, i.e., an agent's planning aimed at changing the c...
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents t...
Single-agent planning in partially observable settings is a well understood problem and existing pla...
Designing agents that reason and act upon the world has always been one of the main objectives of th...
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents t...
Multi-agent systems have been employed to model, simulate and explore a variety of real-world scenar...
A realistic model of multiagent planning must allow us to model notions which are absent in classica...
International audienceDynamic epistemic logic (DEL) provides a very expressive framework for multi-a...
Epistemic planning can be used to achieve implicit coordination in cooperative multi-agent settings ...
An agent coordinating with another needs a model of the other agent to avoid interference or to prom...
Designing autonomous agents, that interact with others to perform complex tasks, has always been one...
Over the last few years, the concept of Artificial Intelligence has become central in different task...
As the research in multi-agent domain continues to grow it is becoming more and more important to in...
International audienceA realistic model of multi-agent planning must allow us to formalize notions ...
Single-agent planning in partially observable settings is a well understood problem and existing pla...
We present a novel approach to cognitive planning, i.e., an agent's planning aimed at changing the c...
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents t...
Single-agent planning in partially observable settings is a well understood problem and existing pla...
Designing agents that reason and act upon the world has always been one of the main objectives of th...
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents t...
Multi-agent systems have been employed to model, simulate and explore a variety of real-world scenar...
A realistic model of multiagent planning must allow us to model notions which are absent in classica...
International audienceDynamic epistemic logic (DEL) provides a very expressive framework for multi-a...
Epistemic planning can be used to achieve implicit coordination in cooperative multi-agent settings ...
An agent coordinating with another needs a model of the other agent to avoid interference or to prom...
Designing autonomous agents, that interact with others to perform complex tasks, has always been one...