We consider the possibility that cooperation in a prisoner’s dilemma is fostered by people’s voluntarily enhancement of their own vulnerability. The vulnerability of a player determines the effectiveness of possible punishment by the other. In the “Gradual” mechanism, players may condition their incremental enhancements of their vulnerability on the other’s choices. In the “Leap” mechanism, the...

We investigate cooperation using an incremental investment game in which the first-mover has the ability to make small, but increasing incremental investments in their counterpart. Our experiment is designed to test whether establishing trust in small increments is more effective than alternatives, including a one-shot investment game, a decrease only condition where the amount the first-mover ...

In case-based reasoning systems, reasoning and learning are closely linked. These systems use various machine learning techniques to achieve their learning tasks. In particular , they often show a hierarchical memory organization close to conceptual clustering learnt concept hierarchies. The cooperation between these two artiicial intelligence methodologies ooers several advantages. For case-ba...

This paper focuses on the modelling of the linguistic level of MICRO, a multi-agents speech understanding system largely inspired by cognitive models. It describes the cooperation between, on the one hand a syntactic parser using a Lexical Functional Grammar, and on the other hand an semantic analyser. The semantic analysis is achieved through a mechanism semantic priming carried out by a incre...

We present an integrated framework that permits implicit task learning and kinesthetic teaching during the execution of robotic tasks in cooperation with humans. The proposed system combines physical human-robot interaction, attentional supervision, multimodal interaction to support robot teaching and incremental task learning. We describe the overall system architecture discussing a task learn...

This work presents the application of INTHELEX, an incremental learning system enhanced by multistrategy capabilities, on a dataset concerning family relationships. The aim is to investigate if and how much abduction, abstraction and deduction can support pure induction. The reported experimental results, although preliminary, demonstrate that such a cooperation may improve efficiency and effec...

In this paper, we propose a new relaying protocol for large multihop networks combining the concepts of cooperative diversity and opportunistic relaying. The cooperative relaying protocol is based on two diversity mechanisms, incremental redundancy combining and repetition combining. We assume that nodes in the large multihop network are modeled by a homogeneous Poisson Point Process and operat...

In this paper, we compare cooperative full-duplex (FD) and incremental cooperative half-duplex (HD) relaying, in terms of outage probability, throughput and energy efficiency. We consider a practical model for the FD relay, where selfinterference between transmitted and received signals is taken into account. The FD transmission is based on the well known block Markov encoding scheme. For the H...

Visual data-mining strategy lies in tightly coupling the visualizations and analytical processes into one data-mining tool that takes advantage of the strengths from multiple sources. This paper presents concrete cooperation between automatic algorithms, interactive algorithms and visualization tools. The first kind of cooperation is an interactive decision tree algorithm called CIAD+. It allow...