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William Lim

dblp:67/3812 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Multi-agent systems · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › agent architecture
agent programming		 0.011994
An agent-based approach for programming mobile robots · ICRA 1994

Methods — techniques the papers use, named apart from their topics

agent-based programming · 0.0
YearPublicationVenuePosition
1994 An agent-based approach for programming mobile robots
abstract
Agent-based programming offers a different way of looking at the programming problem. Instead of a sequential organization of functions, procedures, or routines, the user thinks in terms of small software units interacting in parallel. In this paper we present an agent based programming language called SAL (the SmartyCat Agent Language) developed for programming mobile robots. In particular we discuss how SAL is implemented and used for programming a Cybermotion K2A robot, called SmartyCat. A brief description of SmartyCat is given. The features and constructs of SAL are discussed. It is discussed how SAL is used for programming a mobile robot.>
William Lim
 ICRA1