Abstract. MALLET is a team-oriented agent programming language for specifying teamwork knowledge and behaviors; one interpreter of MALLET has already been implemented in the CAST (Collaborative Agents for Simulating Teamwork) system. This paper defines an operational semantics for MALLET in terms

MALLET is a team-oriented agent programming language for specifying teamwork knowledge and behaviors; one interpreter of MALLET has already been implemented in the CAST (Collaborative Agents for Simulating Teamwork) system. This paper defines an operational semantics for MALLET in terms of a

for encoding knowledge on Web pages to make it understandable to electronic agents searching for information. The Defense Advanced Research Projects Agency (DARPA), in conjunction with the W3C, is developing DARPA Agent Markup Language (DAML) by extending RDF with more expressive constructs aimed

-MTDP's ability to encode existing teamwork theories and models to encode two instantiations of joint intentions theory taken from the literature. Furthermore, the COM-MTDP model provides a basis for the development of novel team coordination algorithms. We derive a domain-independent criterion for optimal

MALLET, a Multi-Agent Logic Language for Encoding Teamwork, is intended to enable expression of teamwork emulating human teamwork, allowing experimentation with different levels and forms of inferred team intelligence. A consequence of this goal is that the actual teamwork behavior is determined

Psychological studies on teamwork have shown that an effective team often can anticipate information needs of teammates based on a shared mental model. Existing multi-agent models for teamwork are limited in their ability to support proactive information exchange among teammates. To address

The traditional representations of games using the extensive form or the strategic (normal) form obscure much of the structure that is present in real-world games. In this paper, we propose a new representation language for general multiplayer games — multi-agent influence diagrams (MAIDs

Abstract—ESL (Execution Support Language) [5] is a language for encoding execution knowledge in embedded autonomous agents. It is similar in spirit to RAPs [2] and RPL [7], and RS [6], and its design owes much to these systems. Unlike its predecessors, ESL aims for a more utilitarian point

to online information and services. But its information is delivered in format-oriented, handcrafted hypertext markup language (HTML), making it understandable only through human eyes. Software agents and search engines have difficulty using the information because it is not semantically encoded. Clever

Implementations of systems based on distributed agent architectures require an agent communications language that has a clearly de#ned semantics. Without one, neither agents nor developers can be sure what another agent's commitment to perform a task means #to name just one speech act