Off-campus access
Using PhilPapers from home?
Click here to configure this browser for off-campus access.
- Porfirio Silva & Pedro U. Lima (2007). Institutional Robotics. In F. Almeida e Costa et al (ed.), Advances in Artificial Life. ECAL 2007. Springer-Verlag.Pioneer approaches to Artificial Intelligence have traditionally neglected, in a chronological sequence, the agent body, the world where the agent is situated, and the other agents. With the advent of Collective Robotics approaches, important progresses were made toward embodying and situating the agents, together with the introduction of collective intelligence. However, the currently used models of social environments are still rather poor, jeopardizing the attempts of developing truly intelligent robot teams. In this paper, we propose a roadmap for a new approach to the design of multi-robot systems, mainly inspired by concepts from Institutional Economics, an alternative to mainstream neoclassical economic theory. Our approach intends to sophisticate the design of robot collectives by adding, to the currently popular emergentist view, the concepts of physically and socially bounded autonomy of cognitive agents, uncoupled interaction among them and deliberately set up coordination devices.
Similar books and articles
In The Construction of Social Reality (1995), John Searle develops a theory of institutional facts and objects, of which money, borders and property are presented as prime examples. These objects are the result of us collectively intending certain natural objects to have a certain status, i.e. to ‘count as’ being certain social objects. This view renders such objects irreducible to natural objects. In this paper we propose a radically different approach that is more compatible with standard economic theory. We claim that such institutional objects can be fully understood in terms of actions and incentives, and hence the Searlean apparatus solves a non-existent problem.
Introduces the use of Lego Robots for use in research and teaching in philosophy. Potential uses include using the machines as pedagogical tools for teaching introductory ideas in cognitive robotics, philosophy of mind, and the philosophy of Artificial Intelligence. Describes the strength and potential pitfalls of introducing this technology to the classroom.
In order to build autonomous robots that can carry out useful work in unstructured environments new approaches have been developed to building intelligent systems. The relationship to traditional academic robotics and traditional artificial intelligence is examined. In the new approaches a tight coupling of sensing to action produces architectures for intelligence that are networks of simple computational elements which are quite broad, but not very deep. Recent work within this approach has demonstrated the use of representations, expectations, plans, goals, and learning, but without resorting to the traditional uses, of central, abstractly manipulable or symbolic representations. Perception within these systems is often an active process, and the dynamics of the interactions with the world are extremely important. The question of how to evaluate and compare the new to traditional work still provokes vigorous discussion.
No categories
After 50 years, the fields of artificial intelligence and robotics capture the imagination of the general public while, at the same time, engendering a great deal of fear and skepticism. Isaac Asimov recognized this deep-seated misconception of technology and created the Three Laws of Robotics. The first part of this paper examines the underlying fear of intelligent robots, revisits Asimov’s response, and reports on some current opinions on the use of the Three Laws by practitioners. Finally, an argument against robotic rebellion is made along with a call for personal responsibility and suggestions for implementing safety constraints in intelligent robots.
Software agents’ ability to interact within different open systems, designed by different groups, presupposes an agreement on an unambiguous definition of a set of concepts, used to describe the context of the interaction and the communication language the agents can use. Agents’ interactions ought to allow for reliable expectations on the possible evolution of the system; however, in open systems interacting agents may not conform to predefined specifications. A possible solution is to define interaction environments including a normative component, with suitable rules to regulate the behaviour of agents. To tackle this problem we propose an application-independent metamodel of artificial institutions that can be used to define open multiagent systems. In our view an artificial institution is made up by an ontology that models the social context of the interaction, a set of authorizations to act on the institutional context, a set of linguistic conventions for the performance of institutional actions and a system of norms that are necessary to constrain the agents’ actions.
No categories
Institutional economics and discourse theory stand unconnected next to each other, in spite of the fact that they both ask for the legitimacy of institutions (normative) and the functioning and effectiveness of institutions (positive). Both use as theoretical constructions rational individuals and the concept of consensus for legitimacy. Whereas discourse theory emphasizes the conditions of a legitimate consensus and could thus enable institutional economics to escape the infinite regress of judging a consensus legitimate, institutional economics has a tested social science paradigm (rational choice) of explaining and predicting the functioning of institutions. The article outlines a theoretical synthesis of the two theories by finding points in common and possibilities of fruitful combinations concerning the problem of legitimacy, institutional design and effectiveness of legal norms. Key Words: consensus discourse theory effectiveness of legal rules institutional design legitimacy new institutional economics.
This article addresses prospective and retrospective responsibility issues connected with medical robotics. It will be suggested that extant conceptual and legal frameworks are sufficient to address and properly settle most retrospective responsibility problems arising in connection with injuries caused by robot behaviours (which will be exemplified here by reference to harms occurred in surgical interventions supported by the Da Vinci robot, reported in the scientific literature and in the press). In addition, it will be pointed out that many prospective responsibility issues connected with medical robotics are nothing but well-known robotics engineering problems in disguise, which are routinely addressed by roboticists as part of their research and development activities: for this reason they do not raise particularly novel ethical issues. In contrast with this, it will be pointed out that novel and challenging prospective responsibility issues may emerge in connection with harmful events caused by normal robot behaviours. This point will be illustrated here in connection with the rehabilitation robot Lokomat.
This paper discusses different approaches incognitive science and artificial intelligenceresearch from the perspective of radicalconstructivism, addressing especially theirrelation to the biologically based theories ofvon Uexküll, Piaget as well as Maturana andVarela. In particular recent work in New AI and adaptive robotics on situated and embodiedintelligence is examined, and we discuss indetail the role of constructive processes asthe basis of situatedness in both robots andliving organisms.
Discussion of Porfirio Silva & Pedro U. Lima, Institutional Robotics
|
|
There are no threads in this forum |
Nothing in this forum yet.

