During the 1980s, when a flexibleapproach to research, known asfarmer-back-to-farmer, was developed, theInternational Potato Center (CIP) became famousfor participatory research. Subsequently itappeared to have lost leadership in this field.This article documents participatory researchactivities in CIP over the past thirty years tofind out what happened. Even in the 1980s,implementation of participatory research wasactually limited. Participatory research in thecenter grew unevenly, with little clearencouragement from the CGIAR. Decentralizationof social scientists in the 1990s led to thefragmentation of participatory research and, inthe absence of (...) any clear champion, it seemedthat it might wither away. Recently, increasinginterest in IPM, donor support, and therecruitment of international staff who havebeen exposed to other currents of participatoryresearch and training has led to a revival ofinterest. This needs to be carefully nurturedto ensure that the flexibility for whichparticipatory research in CIP earlier gainedworld renown is retained. (shrink)

During the 1980s, when a flexibleapproach to research, known asfarmer-back-to-farmer, was developed, theInternational Potato Center (CIP) became famousfor participatory research. Subsequently itappeared to have lost leadership in this field.This article documents participatory researchactivities in CIP over the past thirty years tofind out what happened. Even in the 1980s,implementation of participatory research wasactually limited. Participatory research in thecenter grew unevenly, with little clearencouragement from the CGIAR. Decentralizationof social scientists in the 1990s led to thefragmentation of participatory research and, inthe absence of (...) any clear champion, it seemedthat it might wither away. Recently, increasinginterest in IPM, donor support, and therecruitment of international staff who havebeen exposed to other currents of participatoryresearch and training has led to a revival ofinterest. This needs to be carefully nurturedto ensure that the flexibility for whichparticipatory research in CIP earlier gainedworld renown is retained. (shrink)

Pickering & Garrod (P&G) explain dialogue dynamics in terms of forward modeling and prediction-by-simulation mechanisms. Their theory dissolves a strict segregation between production and comprehension processes, and it links dialogue to action-based theories of joint action. We propose that the theory can also incorporate intentional strategies that increase communicative success: for example, signaling strategies that help remaining predictable and forming common ground.

Imitation in robotics is seen as a powerful means to reduce the complexity of robot programming. It allows users to instruct robots by simply showing them how to execute a given task. Through imitation robots can learn from their environment and adapt to it just as human newborns do. Despite different facets of imitative behaviours observed in humans and higher primates, imitation in robotics has usually been implemented as a process of copying demonstrated actions onto the movement apparatus of the (...) robot. While the results being reached are impressive, we believe that a shift towards a higher expression of imitation, namely the comprehension of human actions and inference of its intentions, is needed. In order to be useful as human companions, robots must act for a purpose by achieving goals and fulfilling human expectations. In this paper we present ConSCIS, an architecture for goal-level imitation in robotics where the focus is put on final effects of actions on objects. The architecture tightly links low-level data with high-level knowledge, and integrates, in a unified framework, several aspects of imitation, such as perception, learning, knowledge representation, action generation and robot control. Some preliminary experimental results with an anthropomorphic arm/hand robotic system are shown. (shrink)

Imitation in robotics is seen as a powerful means to reduce the complexity of robot programming. It allows users to instruct robots by simply showing them how to execute a given task. Through imitation robots can learn from their environment and adapt to it just as human newborns do. Despite different facets of imitative behaviours observed in humans and higher primates, imitation in robotics has usually been implemented as a process of copying demonstrated actions onto the movement apparatus of the (...) robot. While the results being reached are impressive, we believe that a shift towards a higher expression of imitation, namely the comprehension of human actions and inference of its intentions, is needed. In order to be useful as human companions, robots must act for a purpose by achieving goals and fulfilling human expectations. In this paper we present ConSCIS, an architecture for goal-level imitation in robotics where the focus is put on final effects of actions on objects. The architecture tightly links low-level data with high-level knowledge, and integrates, in a unified framework, several aspects of imitation, such as perception, learning, knowledge representation, action generation and robot control. Some preliminary experimental results with an anthropomorphic arm/hand robotic system are shown. (shrink)