Collaborating Authors

International Conference on Artificial Intelligence and Information


Proposals are welcome for the International Conference on Artificial Intelligence and Information, which will be held at the Faculty of Arts, University of Porto (Portugal) on December 5, 6 and 7, 2017. The official language is English. Graduate students, junior researchers and senior scholars are welcome to submit their work. Abstract submission: We invite submission for a 30 minute presentation (followed by 10 minute discussion). An extended abstract of approximately 250-500 words should be prepared for blind review and include a cover page with full name, institution, contact information and short bio.

Three-Way Decisions-Based Conflict Analysis Models Artificial Intelligence

Three-way decision theory, which trisects the universe with less risks or costs, is considered as a powerful mathematical tool for handling uncertainty in incomplete and imprecise information tables, and provides an effective tool for conflict analysis decision making in real-time situations. In this paper, we propose the concepts of the agreement, disagreement and neutral subsets of a strategy with two evaluation functions, which establish the three-way decisions-based conflict analysis models(TWDCAMs) for trisecting the universe of agents, and employ a pair of two-way decisions models to interpret the mechanism of the three-way decision rules for an agent. Subsequently, we develop the concepts of the agreement, disagreement and neutral strategies of an agent group with two evaluation functions, which build the TWDCAMs for trisecting the universe of issues, and take a couple of two-way decisions models to explain the mechanism of the three-way decision rules for an issue. Finally, we reconstruct Fan, Qi and Wei's conflict analysis models(FQWCAMs) and Sun, Ma and Zhao's conflict analysis models(SMZCAMs) with two evaluation functions, and interpret FQWCAMs and SMZCAMs with a pair of two-day decisions models, which illustrates that FQWCAMs and SMZCAMs are special cases of TWDCAMs.

Collective Argumentation: The Case of Aggregating Support-Relations of Bipolar Argumentation Frameworks Artificial Intelligence

In many real-life situations that involve exchanges of arguments, individuals may differ on their assessment of which supports between the arguments are in fact justified, i.e., they put forward different support-relations. When confronted with such situations, we may wish to aggregate individuals' argumentation views on support-relations into a collective view, which is acceptable to the group. In this paper, we assume that under bipolar argumentation frameworks, individuals are equipped with a set of arguments and a set of attacks between arguments, but with possibly different support-relations. Using the methodology in social choice theory, we analyze what semantic properties of bipolar argumentation frameworks can be preserved by aggregation rules during the aggregation of support-relations.

Building Dialogue Systems for Tutorial Applications

AI Magazine

It was a pleasure to participate in the symposium entitled Building Dialogue Systems for Tutorial Applications along with 44 researchers from a variety of relevant application areas. The American Association for Artificial Intelligence presented the 2000 Fall Symposium Series was held on Friday through Sunday, 3 to 5 November, at the Sea Crest Oceanfront Conference Center. "Is'hintify' an acceptable morphological construction in standard English?" Nine working systems were showcased in two lively demo sessions. Knowing how to do things is an important category of knowledge underlying many kinds of intelligent behavior in artificial agents, such as critiquing, advice giving, tutoring, collaboration, and delegation.

Social Choice Optimization Artificial Intelligence

Social choice is the theory about collective decision towards social welfare starting from individual opinions, preferences, interests or welfare. The field of Computational Social Welfare is somewhat recent and it is gaining impact in the Artificial Intelligence Community. Classical literature makes the assumption of single-peaked preferences, i.e. there exist a order in the preferences and there is a global maximum in this order. This year some theoretical results were published about Two-stage Approval Voting Systems (TAVs), Multi-winner Selection Rules (MWSR) and Incomplete (IPs) and Circular Preferences (CPs). The purpose of this paper is three-fold: Firstly, I want to introduced Social Choice Optimisation as a generalisation of TAVs where there is a max stage and a min stage implementing thus a Minimax, well-known Artificial Intelligence decision-making rule to minimize hindering towards a (Social) Goal. Secondly, I want to introduce, following my Open Standardization and Open Integration Theory (in refinement process) put in practice in my dissertation, the Open Standardization of Social Inclusion, as a global social goal of Social Choice Optimization.