Titlebook: Research and Development in Intelligent Systems XXIII; Proceedings of AI-20 Max Bramer,Frans Coenen,Andrew Tuson Conference proceedings 200

CLIFF

peak-flow

nonchalance

Incremental Inductive Learning in a Constructivist Agents the challenge of design an alternative model for machine learning, founded in the human cognitive developmental process described by Piaget [x]. His effort has inspired many other researchers..In this paper we present an agent learning architecture situated on the constructivist approach. We prese

枯萎将要

Argument Based Contract Enforcementscribe an argumentation based framework for agents to both decide whether to enforce a contract, and to undertake contract enforcement actions. The framework centres around agents presenting beliefs to justify their position, and backing up these beliefs with facts as necessary. Presenting facts cos

Aspiration

Negotiating Intelligentlynces. Agent’s are then endowed with machinery that enables them to perform actions that are intended to optimise their expected utility. Despite the extent of this work, the deployment of automatic negotiating agents in real world scenarios is rare. We propose that utility functions, or preference o

Coronary

Avoiding Long and Fruitless Dialogues in Critiquingle products are acceptable to the user. We present a new approach called . critiquing in which the non-existence of a product that satisfies all the user’s critiques triggers an explanation alerting the user to the possibility that none of the available products may be acceptable. A recovery mechani

anagen

Apoptosis

HEAVY

Graphical Reasoning with Bayesian Networkso bring it in accordance with available observations. In this way, Bayesian network reasoning is seen as reasoning about changing dependences and independences as reflected by changes in the graph structure.

使出神