Abstract This paper develops an account of trustworthy AI. Its central idea is that whether AIs are a matter they live up to their function-based obligations. We argue this serves advance the literature in couple important ways. First, it provide rationale for why range properties widely assumed scientific literature, as well policy, be required AI, such safety, justice, and explainability, (of...

The Reasoning Architectures group at MCC has been conducting research in the area of distributed artificial intelligence (DAI). This executive summary presents the potential benefits (“return on investment”) to be gained from this research. In particular, we describe several applications, ranging from process control to office automation, that can be solved with RAD, a distributed expert system...

Embedded artificial intelligence (AI) seamlessly integrates AI into everyday devices. By bringing closer to the data source, embedded empowers real-time decision making, enhanced efficiency, and new possibilities across diverse domains.

We examine an approach to multi-agent coordination that builds on earlier work on enabling single agents to control their reasoning in dynamic environments. Specifically, we study a generalization of the filtering strategy. Where single-agent filtering means tending to bypass options that are incompatible with an agent's own goals, multi-agent filtering means tending to bypass options that are ...

In this paper we describe our experiences and directions regarding the management of multi-domain Enterprise Networks (ENs). Our views are (i) the management of the EN is a distributed problem-solving activity and (ii) recent results in automated problemsolving in the distributed artificial intelligence and robotics communities can contribute to our understanding, development, and deployment of...

Natural language processing raises the problem of ambiguities and multiple solutions which follow frnm them. The knowledge gained when using the morphosyutactic atmlyser CRISSTAL showed how necessary it was to overcome this issue. The architecture with sequential levels, in which each module corresponds to a linguistic level (pretreatments, morphology, syntax, semantics) has shown its limits. A...

This paper is devoted to exploring the relationships between computational agents, as they can be found in multi-agent systems (MAS) or Distributed Artificial Intelligence (DAI), and the different techniques regrouped under the generic appellation “multi-agent based simulation” (MABS). Its main purpose is to show that MABS, despite its name, is in fact rarely based on computational agents. We b...

of independent intelligent systems to cooperate in solving problems that require their combined abilities. Among the workshop’s principal topics of interest were (1) architectures and frameworks for combining and integrating independent intelligent systems to enable them collectively to solve more complex problems, (2) knowledge-level analyses of the components that belong to such cooperative s...

The field of economics has received increasing attention from researchers in both artificial intelligence and distributed systems. In large-scale open systems, the competing interests of autonomous ers must be explicitly considered in system designs to ensure global performance objectives are satisfied. At the same time, reasoning about the tradeoffs involved in the complex resource allocation ...