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Additional info for Engineering Multi-Agent Systems: Third International Workshop, EMAS 2015, Istanbul, Turkey, May 5, 2015, Revised, Selected, and Invited Papers
6 Conclusions Aggregate computing is a new metaphor for building distributed systems, with notable impact to the engineering of “complexity”, thanks to its ability to: (i) reason in term of ﬁeld calculus programs to formally derive its behavioural properties ; (ii) create reusable combinators of wide applicability, to raise the abstraction layer of system development ; (iii) promote a methodology for substitutability of components to improve performance ; and (iv) address the problem of platform support in a rather abstract away so as to smoothly support diﬀerent computation/communication models.
Keywords: Knowledge representation technology · Agent programming framework · Generic interface design 1 Introduction In cognitive agents, knowledge representation (KR) is used to store, retrieve and update information. In principle, knowledge can be represented in many diﬀerent ways, but in practice programmers tend to be limited to a speciﬁc KR approach that a particular agent programming framework oﬀers. We consider an agent programming framework to be a set of tools for developing or creating cognitive agents.
Our interface speciﬁcation is how to abstract from diﬀerences in the grammar between KR languages. We want to be largely agnostic about the particular type of agent framework that a knowledge representation is used in. We will only assume, for example, that an agent decides what to do next based on a state representation expressed in some KR language, and will make no stronger assumptions about the particular structure of the mental state of an agent (see for a more detailed discussion Sect. 2).