Declarative Agent Languages and Technologies VIII: 8th by John Thangarajah, James Harland, David Morley, Neil

By John Thangarajah, James Harland, David Morley, Neil Yorke-Smith (auth.), Andrea Omicini, Sebastian Sardina, Wamberto Vasconcelos (eds.)

This publication constitutes the completely refereed post-workshop court cases of the eighth overseas Workshop on Declarative Agent Languages and applied sciences, DALT 2010, held in Toronto, Canada, on may well 10, 2010, as a satellite tv for pc workshop of the ninth foreign Joint convention on self sustaining brokers and Multiagent structures, AAMAS 2010. The 7 revised complete papers provided including four invited lectures have been rigorously chosen in the course of rounds of reviewing and development from 24 preliminary submissions. DALT goals to make formal equipment and declarative applied sciences and techniques to be had to and understood via a broader phase of the multi-agent examine neighborhood; the papers are geared up in topical sections on BDI rational brokers, communique, coordination and negotiation, in addition to social points and regulate systems.

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Additional resources for Declarative Agent Languages and Technologies VIII: 8th International Workshop, DALT 2010, Toronto, Canada, May 10, 2010, Revised, Selected and Invited Papers

Example text

Afterwards, we will illustrate in Section 4 some complex uses of these coordinations, before discussing the difference between our approach and compositional semantics based on the merging of programs in Section 5. At last, Section 6 will conclude. 1 Coordinating Answer Sets Preliminaries We first give a very succinct overview of the answer set semantics for a program defined over a set of literals Lit (see [8] for more details). An extended disjunctive program (EDP) is a set of rules of the form: L1 ; · · · ; Ll ← Ll+1 , .

However, one of the most notable difference with SO is that we instantiate the action parameters (if any) with values obtained from solving the CSOP. 4 Differences with AgentSpeak(L) Most of the syntax and semantics of BAOP are similar to that of AgentSpeak(L) and its interpreter Jason. However, the most notable additions are: 1. A constraint directed technique is incorporated into the computation strategy employed during the interpretation process. 2. Plan context consists of conjunction of predicates some of which could be constraint predicates (unlike Agentspeak(L)) which could be dealt with CLP machinery using specialized constraint solvers.

The interpreter manages a set of events, a preference store, an objective store and a set of intentions with three selection functions which are described below. In the figure, sets (of beliefs, events, plans, preference store, objective store and intentions) are represented as rectangles, diamonds represent selection (of one element from a set) and circles represent some of the processing involved in the interpretation of BAOP programs. A CLP solver is plugged into the system which is responsible for generating the applicable plans as well as for the option and intention selection functions.

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