Bratman, M., Iseael, D., and Pollack, M. (1988) 'Plans and resource-bounded practical reasoning'. Computational Intelligence. 4(2) pp.349--355. Home/Search Document Details and Download
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Emotion-Based Attention Shift in Autonomous Agents - Luis Miguel Botelho (1996) (1 citation) (Correct)
....conclusions. 2 Activation and Attention Shift In the commitment based approach to attention shift, planning phases in which interruptions are allowed alternate with phases in which interruptions are not allowed regardless of what external events or stimuli take place. The architectures IRMA [10][25] and PRS [19] 18] provide a filtering mechanism that enables the agent to ignore external events. This filter can be overridden by external events in particular conditions. 26] in the case of IRMA and [23] in the case of PRS report experimentation with the commitment based approach using two ....
M.E. Bratman, D. Israel and M.E. Pollack. (1988) Plans and Resource Bounded Practical Reasoning. Computational Intelligence 4:349-355, 1988
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.... On the contrary, if new deliberation is necessary, the deliberation module is given the control and invokes its replanning component on the current plan with the task of finding a better plan; the functioning of the replanning component is inspired to the notion of persistence of intentions ([Bratman et al. 1988]) in that it tries to perform the most local replanning which allows the expected utility to be brought back to an acceptable difference with the previously expected one. 3 The planning algorithm The action library is organized along two abstraction hierarchies. The sequential abstraction ....
....in which the preference for the compliance to a contextually instantiated norm must be reconciled with existing intentions; An agent does not devise and evaluate a norm compliant behavior in isolation from its current intentions. The agent s current commitment constitutes the background ([Bratman et al. 1988]) against which the agent devises a plan which complies with the norm: the agent reasons on its current intentions trying to modify them in order to devise a norm compliant plan. This line of behavior is then traded off with the option of not complying with the norm, in the light of the reaction ....
Bratman, M. E., Israel, D. J., and Pollack, M. E. (1988). Plans and resource-bounded practical reasoning. Computational Intelligence, 4:349--355.
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....respect to future events. Behavior based robotics [24] and hybrid architectures [4] are prime examples of this development. Since many of the changes taking place in the environment may be caused by the actions of other agents (human or artificial) the field of multi agent systems is relevant [22]. Agent action in complex environments is suitably controlled by an anytime algorithm [43] Alternatively, the agent may turn to a human supervisor. This presupposes the supervisor s availability and ability to solve the decision situation correctly, and within the time available to her. Internal ....
M.E. Bratman, D.J. Israel, and M.E. Pollack. Plans and Resource-Bounded Practical Reasoning. Computational Intelligence, 4(4):349--355, 1998.
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....organized in two main categories: general architectures and specific attention shift mechanisms. The first group addresses general agent architectures and design principles suitable for coping with the problem of attention shift under limited rationality (e.g. Simon 1967] Sloman 1987; 1995] [Bratman et al. 1988], Georgeff and Ingrand 1989] Pollack 1992] In this respect, we present an agent architecture based on Simon s [1967] and Sloman s [1987] ideas, adapted to the options made in [Botelho and Coelho 1995] An old dispute between Zajonc [Zajonc 1980] Zajonc 1984] and Lazarus [Lazarus 1984] known ....
....the present section we consider each of these cases, in turn. 3. 1 Commitment The approaches described in [Pollack and Ringuette 1990] and [Kinny and Georgeff 1991] are very similar and may be termed as commitment policies, although both works are based on previous general architectures (IRMA [Bratman et al. 1988] and PRS [Georgeff and Ingrand 1989] which also used the expression filter overriding mechanisms . Pollack and Ringuette 1990] describes an agent that commits itself to its choices as a form of avoiding processing additional information, including external stimuli information. The agent moves ....
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Bratman, M.E., Israel, D. and Pollack, M.E. (1988) Plans and resource bounded practical reasoning, Computational Intelligence 4:349-355 28
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....a specification for each of these features. 3. 1 Agent Architecture, Mutual Belief and Resource Limits Both the agent architecture and the role of resource limits are addressed by adopting an agent architecture based on the IRMA architecture for resource bounded agents, shown in figure 3 [Bratman et al. 1988; Pollack and Ringuette, 1990] The IRMA architecture has not previously been used to model the be havior of agents in dialogue. The basic components of the modified IRMA architecture are: Beliefs: a database of an agent s beliefs. This includes beliefs that an agent believes to be mutual to ....
....role in testing the hypotheses. AWM is modelled as a three dimensional space in which propositions acquired from perceiving the world are stored in chronological sequence according to the location of a moving memory pointer. The sequence of memory loci used 10 The filtering mechanism presented in [Bratman et al. 1988] and used in Tileworld is more complex than that presented here because that work explored the issue of when current intentions get over ridden. 11 Some of the features of the model hold for processors in general, such as the feature that items that have been discussed more recently are more ....
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Michael Bratman, David Israel, and Martha Pollack. Plans and resource bounded practical reasoning. Computational Intelligence, 4:349-355, 1988.
Coalition Formation through Motivation and Trust - Griffiths, Luck (2003) (1 citation) (Correct)
....agent that we are concerned with. Specifically, we adopt a BDIbased approach of taking an agent to comprise: beliefs about itself, others and the environment; a set of desires representing the states it wants to achieve; and intentions corresponding to the plans adopted in pursuit of these desires [2]. In addition to the traditional BDI model however, we concur with the views of some that motivation is an extra component required to achieve true autonomy in such agents [15] Motivations are high level desires that characterise an agent; they guide behaviour and, at a fundamental level, ....
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