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  1. Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.
    Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired Artificial Intelligence, (...)
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  • Model-lite planning: Case-based vs. model-based approaches.Hankz Hankui Zhuo & Subbarao Kambhampati - 2017 - Artificial Intelligence 246 (C):1-21.
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  • Learning hierarchical task network domains from partially observed plan traces.Hankz Hankui Zhuo, Héctor Muñoz-Avila & Qiang Yang - 2014 - Artificial Intelligence 212 (C):134-157.
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  • Towards a computational theory of cognitive maps.Wai K. Yeap - 1988 - Artificial Intelligence 34 (3):297-360.
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  • Intention without representation.Peter Wallis - 2004 - Philosophical Psychology 17 (2):209-223.
    A mechanism for planning ahead would appear to be essential to any creature with more than insect level intelligence. In this paper it is shown how planning, using full means-ends analysis, can be had while avoiding the so called symbol grounding problem. The key role of knowledge representation in intelligence has been acknowledged since at least the enlightenment, but the advent of the computer has made it possible to explore the limits of alternate schemes, and to explore the nature of (...)
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  • Looking for nodes and edges.Arnold Trehub - 1982 - Behavioral and Brain Sciences 5 (4):650-651.
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  • Applicability conditions for plans with loops: Computability results and algorithms.Siddharth Srivastava, Neil Immerman & Shlomo Zilberstein - 2012 - Artificial Intelligence 191-192 (C):1-19.
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  • A new representation and associated algorithms for generalized planning.Siddharth Srivastava, Neil Immerman & Shlomo Zilberstein - 2011 - Artificial Intelligence 175 (2):615-647.
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  • A trace of memory.D. Nico Spinelli - 1982 - Behavioral and Brain Sciences 5 (4):650-650.
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  • Model verification and improvement using DISPROVER.L. Siklóssy & J. Roach - 1975 - Artificial Intelligence 6 (1):41-52.
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  • Ecologizing world graphs.Robert E. Shaw & Ennio Mingolla - 1982 - Behavioral and Brain Sciences 5 (4):648-650.
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  • The use of dynamics in an intelligent controller for a space faring rescue robot.Marcel Schoppers - 1995 - Artificial Intelligence 73 (1-2):175-230.
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  • The plan recognition problem: An intersection of psychology and artificial intelligence.C. F. Schmidt, N. S. Sridharan & J. L. Goodson - 1978 - Artificial Intelligence 11 (1-2):45-83.
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  • Planning in a hierarchy of abstraction spaces.Earl D. Sacerdoti - 1974 - Artificial Intelligence 5 (2):115-135.
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  • BankXX: Supporting legal arguments through heuristic retrieval. [REVIEW]Edwina L. Rissland, David B. Skalak & M. Timur Friedman - 1996 - Artificial Intelligence and Law 4 (1):1-71.
    The BankXX system models the process of perusing and gathering information for argument as a heuristic best-first search for relevant cases, theories, and other domain-specific information. As BankXX searches its heterogeneous and highly interconnected network of domain knowledge, information is incrementally analyzed and amalgamated into a dozen desirable ingredients for argument (called argument pieces), such as citations to cases, applications of legal theories, and references to prototypical factual scenarios. At the conclusion of the search, BankXX outputs the set of argument (...)
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  • A maze in graphs.Christopher K. Riesbeck - 1982 - Behavioral and Brain Sciences 5 (4):648-648.
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  • Continuous case-based reasoning.A. Ram & J. C. Santamaría - 1997 - Artificial Intelligence 90 (1-2):25-77.
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  • The special nature of spatial information.Michael Potegal - 1982 - Behavioral and Brain Sciences 5 (4):647-648.
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  • A chess combination program which uses plans.Jacques Pitrat - 1977 - Artificial Intelligence 8 (3):275-321.
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  • What spaces? What subjects?Jean Pailhous & Patrick Peruch - 1982 - Behavioral and Brain Sciences 5 (4):646-647.
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  • Probabilistic logic revisited.Nils J. Nilsson - 1993 - Artificial Intelligence 59 (1-2):39-42.
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  • Learning Plan Schemata from Observation: Explanation‐Based Learning for Plan Recognition.Raymond J. Mooney - 1990 - Cognitive Science 14 (4):483-509.
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  • Computational Hullianism.John W. Moore - 1982 - Behavioral and Brain Sciences 5 (4):646-646.
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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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  • Quantitative results concerning the utility of explanation-based learning.Steven Minton - 1990 - Artificial Intelligence 42 (2-3):363-391.
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  • Explanation-based learning:A problem solving perspective.Steven Minton, Jaime G. Carbonell, Craig A. Knoblock, Daniel R. Kuokka, Oren Etzioni & Yolanda Gil - 1989 - Artificial Intelligence 40 (1-3):63-118.
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  • A theory and methodology of inductive learning.Ryszard S. Michalski - 1983 - Artificial Intelligence 20 (2):111-161.
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  • Dynamic backward reasoning systems.Antoni Ligęza - 1990 - Artificial Intelligence 43 (2):127-152.
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  • World graphs: A partial model of spatial behavior.Israel Lieblich & Michael A. Arbib - 1982 - Behavioral and Brain Sciences 5 (4):651-659.
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  • Multiple representations of space underlying behavior.Israel Lieblich & Michael A. Arbib - 1982 - Behavioral and Brain Sciences 5 (4):627-640.
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  • Localized planning with action-based constraints.Amy L. Lansky - 1998 - Artificial Intelligence 98 (1-2):49-136.
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  • SOAR: An architecture for general intelligence.John E. Laird, Allen Newell & Paul S. Rosenbloom - 1987 - Artificial Intelligence 33 (1):1-64.
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  • The cognitive map must be a separate module.Benjamin Kuipers - 1982 - Behavioral and Brain Sciences 5 (4):645-646.
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  • Multiagent negotiation under time constraints.Sarit Kraus, Jonathan Wilkenfeld & Gilad Zlotkin - 1995 - Artificial Intelligence 75 (2):297-345.
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  • Macro-operators: A weak method for learning.Richard E. Korf - 1985 - Artificial Intelligence 26 (1):35-77.
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  • The MEDIATOR: Analysis of an Early Case‐Based Problem Solver4.Janet L. Kolodner & Robert L. Simpson - 1989 - Cognitive Science 13 (4):507-549.
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  • Put my galakmid Coin into the dispenser and kick it: Computational linguistics and theorem proving in a computer game. [REVIEW]Alexander Koller, Ralph Debusmann, Malte Gabsdil & Kristina Striegnitz - 2004 - Journal of Logic, Language and Information 13 (2):187-206.
    We combine state-of-the-art techniques from computational linguisticsand theorem proving to build an engine for playing text adventures,computer games with which the player interacts purely through naturallanguage. The system employs a parser for dependency grammar and ageneration system based on TAG, and has components for resolving andgenerating referring expressions. Most of these modules make heavy useof inferences offered by a modern theorem prover for descriptionlogic. Our game engine solves some problems inherent in classical textadventures, and is an interesting test case for (...)
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  • Automatically generating abstractions for planning.Craig A. Knoblock - 1994 - Artificial Intelligence 68 (2):243-302.
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  • Exploratory behavior without novelty drive?Arthur I. Karshmer, Derek Partridge & Victor Johnson - 1982 - Behavioral and Brain Sciences 5 (4):644-645.
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  • Lost in Chelm: Maladaptive behavior in an adaptive model.Stephen Kaplan - 1982 - Behavioral and Brain Sciences 5 (4):643-644.
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  • A validation-structure-based theory of plan modification and reuse.Subbarao Kambhampati & James A. Hendler - 1992 - Artificial Intelligence 55 (2-3):193-258.
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  • A unified framework for explanation-based generalization of partially ordered and partially instantiated plans.Subbarao Kambhampati & Smadar Kedar - 1994 - Artificial Intelligence 67 (1):29-70.
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  • Automated discourse generation using discourse structure relations.Eduard H. Hovy - 1993 - Artificial Intelligence 63 (1-2):341-385.
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  • Human spatial learning.Kristina Hooper - 1982 - Behavioral and Brain Sciences 5 (4):642-643.
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  • Modeling simultaneous actions and continuous processes.Gary G. Hendrix - 1973 - Artificial Intelligence 4 (3-4):145-180.
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  • Active Learning: Approaches and Issues.T. R. Chaudhur & L. G. C. Hamey - 1997 - Journal of Intelligent Systems 7 (3-4):205-244.
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  • Finding optimal derivation strategies in redundant knowledge bases.Russell Greiner - 1991 - Artificial Intelligence 50 (1):95-115.
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  • Counterfactuals.Matthew L. Ginsberg - 1986 - Artificial Intelligence 30 (1):35-79.
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  • Strategies in heuristic search.M. P. Georgeff - 1983 - Artificial Intelligence 20 (4):393-425.
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  • Axioms of causal relevance.David Galles & Judea Pearl - 1997 - Artificial Intelligence 97 (1-2):9-43.
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