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  1. Mechanism design for automated negotiation, and its application to task oriented domains.Gilad Zlotkin & Jeffrey S. Rosenschein - 1996 - Artificial Intelligence 86 (2):195-244.
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  • The ecology of computation.Michael P. Wellman - 1991 - Artificial Intelligence 52 (2):205-218.
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  • Societies of minds: Science as distributed computing.Paul Thagard - 1991 - Studies in History and Philosophy of Science Part A 24 (1):49-67.
    Science is studied in very different ways by historians, philosophers, psychologists, and sociologists. Not only do researchers from different fields apply markedly different methods, they also tend to focus on apparently disparate aspects of science. At the farthest extremes, we find on one side some philosophers attempting logical analyses of scientific knowledge, and on the other some sociologists maintaining that all knowledge is socially constructed. This paper is an attempt to view history, philosophy, psychology, and sociology of science from a (...)
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  • Smart office robot collaboration based on multi-agent programming.F. Mizoguchi, H. Nishiyama, H. Ohwada & H. Hiraishi - 1999 - Artificial Intelligence 114 (1-2):57-94.
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  • Distributed artificial intelligence from a socio-cognitive standpoint: Looking at reasons for interaction. [REVIEW]Maria Miceli, Amedo Cesta & Paola Rizzo - 1995 - AI and Society 9 (4):287-320.
    Distributed Artificial Intelligence (DAI) deals with computational systems where several intelligent components interact in a common environment. This paper is aimed at pointing out and fostering the exchange between DAI and cognitive and social science in order to deal with the issues of interaction, and in particular with the reasons and possible strategies for social behaviour in multi-agent interaction is also described which is motivated by requirements of cognitive plausibility and grounded the notions of power, dependence and help. Connections with (...)
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  • Constructing Societies and Social Machines: Stepping Out of the Turing Test Discourse.P. B. Mcllvenny - 1993 - Journal of Intelligent Systems 3 (2-4):119-156.
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  • Social Context in HCl: A New Framework for Mental Models, Cooperation, and Communication.Giuseppe Mantovani - 1996 - Cognitive Science 20 (2):237-269.
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  • Reaching agreements through argumentation: a logical model and implementation.Sarit Kraus, Katia Sycara & Amir Evenchik - 1998 - Artificial Intelligence 104 (1-2):1-69.
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  • An overview of incentive contracting.Sarit Kraus - 1996 - Artificial Intelligence 83 (2):297-346.
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  • Foundations of AI: The big issues.David Kirsh - 1991 - Artificial Intelligence 47 (1-3):3-30.
    The objective of research in the foundations of Al is to explore such basic questions as: What is a theory in Al? What are the most abstract assumptions underlying the competing visions of intelligence? What are the basic arguments for and against each assumption? In this essay I discuss five foundational issues: (1) Core Al is the study of conceptualization and should begin with knowledge level theories. (2) Cognition can be studied as a disembodied process without solving the symbol grounding (...)
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  • Coordinating Agents in Design: A Formal Analysis.U. V. Johar - 1998 - Journal of Intelligent Systems 8 (3-4):291-314.
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  • On agent-based software engineering.Nicholas R. Jennings - 2000 - Artificial Intelligence 117 (2):277-296.
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  • Controlling cooperative problem solving in industrial multi-agent systems using joint intentions.N. R. Jennings - 1995 - Artificial Intelligence 75 (2):195-240.
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  • Creating in Our Own Image: Artificial Intelligence and the Image of God.Noreen Herzfeld - 2002 - Zygon 37 (2):303-316.
    There is remarkable convergence between twentieth‐century interpretations of the image of God (imago Dei), what it means for human beings to be created in God's image, and approaches toward creating in our own image in the field of artificial intelligence (AI). Both fields have viewed the intersection between God and humanity or humanity and computers in terms of either (1) a property or set of properties such as intelligence, (2) the functions we engage in or are capable of, or (3) (...)
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  • Collaborative plans for complex group action.Barbara J. Grosz & Sarit Kraus - 1996 - Artificial Intelligence 86 (2):269-357.
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  • Through the agents' minds: Cognitive mediators of social action.Cristiano Castelfranchi - 2000 - Mind and Society 1 (1):109-140.
    Thesis: Macro-level social phenomena are implemented through the (social) actions and minds of the individuals. Without an explicit theory of the agents' minds that founds, agents' behavior we cannot understand macro-level social phenomena, and in particular how they work. AntiThesis: Mind is not enough: the theory of individual (social) mind and action is not enough to explain several macro-level social phenomena. First, there are pre-cognitive, objective social structures that constrain the actions of the agents; second, there are emergent, unaware or (...)
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  • Modelling social action for AI agents.Cristiano Castelfranchi - 1998 - Artificial Intelligence 103 (1-2):157-182.
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  • Mental states in communication.Maurizio Tirassa - unknown
    Abstract. This paper is concerned with the mental processes involved in intentional communication. I describe an agent's cognitive architecture as the set of cognitive dynamics (i.e., sequences of mental states with contents) she may entertain. I then describe intentional communication as one such specific dynamics, arguing against the prevailing view that communication consists in playing a role in a socially shared script. The cognitive capabilities needed for such dynamics are midreading (i.e., the ability to reason upon another individual's mental states), (...)
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