Generative communication in Linda
ACM Transactions on Programming Languages and Systems (TOPLAS)
Causes for events: their computation and applications
Proc. of the 8th international conference on Automated deduction
A logical framework for default reasoning
Artificial Intelligence
A unifying view for logic programming with non-monotonic reasoning
Theoretical Computer Science
The Semantics of Predicate Logic as a Programming Language
Journal of the ACM (JACM)
Distributed Intelligent Agents
IEEE Expert: Intelligent Systems and Their Applications
LAILA: a language for coordinating abductive reasoning among logic agents
Computer Languages
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This paper presents the distributed implementation of ALIAS, an architecture composed of several cooperating intelligent agents. This system is particularly suited to solve problems in cases where knowledge about the problem domain is incomplete and agents may need to form reasonable hypotheses. In ALIAS agents are equipped with hypothetical reasoning capabilities, performed by means of abduction: if the knowledge available to a logic agent is insufficient to solve a query, the agent could abduce new hypotheses. Each agent is characterized by a local knowledge base represented by an abductive logic program. Agents might differ in their knowledge bases, but must agree on assumed hypotheses. That global knowledge base is dynamically created and managed by means of a shared tuple space. The prototype, developed using Java and Prolog, can run on a TCP/IP network of computers. In the paper, we also discuss some experimental results to evaluate prototype efficiency.