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Book ChapterDOI

Evaluation of KQML as an agent communication language

TLDR
This chapter discusses the desirable features of languages and protocols for communication among intelligent information agents and KQML is described and evaluated as an agent communication language relative to the desiderata.
Abstract
This chapter discusses the desirable features of languages and protocols for communication among intelligent information agents. These desiderata are divided into seven categories: form, content, semantics, implementation, networking, environment, and reliability. The Knowledge Query and Manipulation Language (KQML) is a new language and protocol for exchanging information and knowledge. This work is part of a larger effort, the ARPA Knowledge Sharing Effort, which is aimed at developing techniques and methodologies for building large-scale knowledge bases that are sharable and reusable. KQML is both a message format and a message-handling protocol to support run-time knowledge sharing among agents. KQML is described and evaluated as an agent communication language relative to the desiderata.

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Journal ArticleDOI

Bayesian Reinforcement Learning in Factored POMDPs

TL;DR: This paper provides an overview of research and development activities in the field of autonomous agents and multi-agent systems and aims to identify key concepts and applications, and to indicate how they relate to one-another.
Book

Simulation for the Social Scientist

TL;DR: Social scientists in a wide range of fields will find this book an essential tool for research, particularly in sociology, economics, anthropology, geography, organizational theory, political science, social policy, cognitive psychology and cognitive science, and it will also appeal to computer scientists interested in distributed artificial intelligence, multi-agent systems and agent technologies.
Journal ArticleDOI

An agent-based approach for building complex software systems

TL;DR: This article will argue that analyzing, designing, and implementing complex software systems as a collection of interacting, autonomous agents (that is, as a multiagent system) affords software engineers a number of significant advantages over contemporary methods.
Book

Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)

TL;DR: The Jason Agent Programming Language as discussed by the authors is a programming language based on the BDI Agent Model that allows to define simulated environments and communicate with multiple agents in a BDI agent language.
Journal ArticleDOI

Argumentation-based negotiation

TL;DR: This article provides a conceptual framework through which the core elements and features required by agents engaged in argumentation-based negotiation, as well as the environment that hosts these agents are outlined, and surveys and evaluates existing proposed techniques in the literature.
References
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Book

How to do things with words

TL;DR: In this paper, the authors presented a series of lectures with the following topics: Lecture I * Lecture II* Lecture III * Lectures IV* Lectures V * LectURE VI * LectURES VI * LII * LIII * LIV * LVI * LIX
Book

Speech Acts: An Essay in the Philosophy of Language

TL;DR: A theory of speech acts is proposed in this article. But it is not a theory of language, it is a theory about the structure of illocutionary speech acts and not of language.
Journal ArticleDOI

Speech Acts: An Essay in the Philosophy of Language

Alice Koller, +1 more
- 01 Mar 1970 - 
TL;DR: A theory of speech acts is proposed in this paper. But it is not a theory of language, it is a theory about the structure of illocutionary speech acts and not of language.
Book

KQML as an agent communication language

TL;DR: The design of and experimentation with the Knowledge Query and Manipulation Language (KQML), a new language and protocol for exchanging information and knowledge, which is aimed at developing techniques and methodology for building large-scale knowledge bases which are sharable and reusable.
Journal ArticleDOI

Intention is choice with commitment

TL;DR: In this article, the authors explore principles governing the rational balance among an agent's beliefs, goals, actions, and intentions, and show how agents can avoid intending all the foreseen side-effects of what they actually intend.