In this paper we define a general framework for activity recognition by building upon and
extending Relational Markov Networks. Using the example of activity recognition from …

There are relatively few proposals for inconsistency measures for propositional belief bases.
However inconsistency measures are potentially as important as information measures for …

There are relatively few proposals for inconsistency measures for propositional belief bases.
However inconsistency measures are potentially as important as information measures for …

Automated negotiation offers new capability for buyers and sellers to efficiently trade goods
and services in online markets. In high-dimensional real world negotiations, many agents …

This survey covers recent contributions from the artificial intelligence research literature
about logic-based information fusion. First, the main current approaches dealing with the …

This paper introduces an axiomatic model for bargaining analysis. We describe a bargaining
situation in propositional logic and represent bargainers' preferences in total pre-orders …

An intelligent agent may receive information about its environment from several different
sources. How should the agent merge these items of information into a single, consistent …

This paper provides a logical framework for negotiation between agents that are assumed to
be rational, cooperative and truthful. We present a characterisation of the permissible …

The article introduces a logical framework for negotiation among dishonest agents. The
framework relies on the use of abductive logic programming as a knowledge representation …

This paper presents a computational model of negotiation based on Nebel's syntax-based
belief revision. The model guarantees a unique bargaining solution for each bargaining …