Logic-Based Specification Languages for Intelligent Software Agents

The research field of Agent-Oriented Software Engineering (AOSE) aims to find abstractions, languages, methodologies and toolkits for modeling, verifying, validating and prototyping complex applications conceptualized as Multiagent Systems (MASs). A very lively research sub-field studies how formal methods can be used for AOSE. This paper presents a detailed survey of six logic-based executable agent specification languages that have been chosen for their potential to be integrated in our ARPEGGIO project, an open framework for specifying and prototyping a MAS. The six languages are ConGoLog, Agent-0, the IMPACT agent programming language, DyLog, Concurrent METATEM and Ehhf. For each executable language, the logic foundations are described and an example of use is shown. A comparison of the six languages and a survey of similar approaches complete the paper, together with considerations of the advantages of using logic-based languages in MAS modeling and prototyping.Comment: 67 pages, 1 table, 1 figure. Accepted for publication by the Journal "Theory and Practice of Logic Programming", volume 4, Maurice Bruynooghe Editor-in-Chie

Temporal Agent Programs

The \agent program" framework introduced by Eiter, Subrahmanian and Pick (Articial Intelligence, 108(1-2), 1999), supports developing agents on top of arbitrary legacy code. Such agents are continuously engaged in an \event occurs! think ! act! event occurs : : : " cycle. However, this framework has two major limitations: (1) all actions are assumed to have no duration, and (2) all actions are taken now, but cannot be scheduled for the future. In this paper, we present the concept of a \temporal agent program" (tap for short) and show that using taps, it is possible to build agents on top of legacy code that can reason about the past and about the future, and that can make temporal commitments for the future now. We develop a formal semantics for such agents, extending the concept of a status set proposed by Eiter et al., and develop algorithms to compute the status sets associated with temporal agent programs. Last, but not least, we show how taps support classical negotiation method..